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Presentation GSBPM metadata flows

Descripción del Modelo del Proceso de Negocios Estadístico General, UNECE
by Eric Rodríguez on 3 June 2013

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Transcript of Presentation GSBPM metadata flows

Quality Management/Metadata Management 1
Specify Needs 2
Design 3
Build 4
Collect 5
Process 6
Analyze 7
Disseminate 8
Archive 9
Evaluate 1.1
Determine needs for information 1.2
Consult & confirm needs 1.3
Establish output objectives 1.4
Identify concepts 1.5
Check data availability 1.6
Prepare business case 2.1
Design outputs 2.2
Design variable descriptions 2.3
Design data collection methodology 2.4
Design frame & sample methodology 2.5
Design statistical processing methodology 2.6
Design production systems & workflow 3.1
Build data collection instrument 3.2
Build or enhance process components 3.3
Configure workflows 3.4
Test production system 3.5
Test statistical business process 3.6
Finalize production system 4.1
Select sample 4.2
Set up collection 4.3
Run collection 4.4
Finalize collection 5.1
Integrate data 5.2
Classify & code 5.3
Review, validate & edit 5.4
Impute 5.5
Derive new variables & statistical units 5.6
Calculate weights 5.7
Calculate aggregates 5.8
Finalize data files 6.1
Prepare draft outputs 6.2
Validate outputs 6.3
Scrutinize & explain 6.4
Apply disclosure control 6.5
Finalize outputs 7.1
Update output systems 7.2
Produce dissemination products 7.3
Manage release of dissemination products 7.4
Promote dissemination products 7.5
Manage user support 8.1
Define archive rules 8.2
Manage archive repository 8.3
Preserve data & associated metadata 8.4
Dispose of data & associated metadata 9.1
Gather evaluation inputs 9.2
Conduct evaluation 9.3
Agree action plan In this phase, statistics are produced, examined in detail and made ready for dissemination. This phase includes the sub-processes and activities that enable statistical analysts to understand the statistics produced. For statistical outputs produced regularly, this phase occurs in every iteration. The Analyse phase and sub-processes are generic for all statistical outputs, regardless of how the data were sourced. 6.1. Prepare draft outputs - This sub-process is where the data collected are transformed into statistical outputs. It includes the production of additional measurements such as indices, trends or seasonally adjusted series, as well as the recording of quality characteristics. 6.2. Validate outputs - This sub-process is where statisticians validate the quality of the outputs produced, in accordance with a general quality framework and with expectations. This sub-process also includes activities involved with the gathering of intelligence, with the cumulative effect of building up a body of knowledge about a specific statistical domain. This knowledge is then applied to the current collection, in the current environment, to identify any divergence from expectations and to allow informed analyses. Validation activities can include:
checking that the population coverage and response rates are as required;
comparing the statistics with previous cycles (if applicable);
confronting the statistics against other relevant data (both internal and external);
investigating inconsistencies in the statistics;
performing macro editing;
validating the statistics against expectations and domain intelligence. 6.3. Scrutinize and explain - This sub-process is where the in-depth understanding of the outputs is gained by statisticians. They use that understanding to scrutinize and explain the statistics produced for this cycle by assessing how well the statistics reflect their initial expectations, viewing the statistics from all perspectives using different tools and media, and carrying out in-depth statistical analyses. 6.4. Apply disclosure control – This sub-process ensures that the data (and metadata) to be disseminated do not breach the appropriate rules on confidentiality. This may include checks for primary and secondary disclosure, as well as the application of data suppression or perturbation techniques. 6.5. Finalize outputs - This sub-process ensures the statistics and associated information are fit for purpose and reach the required quality level, and are thus ready for use. It includes:
completing consistency checks;
determining the level of release, and applying caveats;
collating supporting information, including interpretation, briefings, measures of uncertainty and any other necessary metadata;
producing the supporting internal documents;
pre-release discussion with appropriate internal subject matter experts;
approving the statistical content for release. This phase manages the release of the statistical products to customers. For statistical outputs produced regularly, this phase occurs in each iteration. It is made up of five sub-processes, which are generally sequential, from left to right, but can also occur in parallel, and can be iterative. 7.1. Update output systems - This sub-process manages the update of systems where data and metadata are stored for dissemination purposes, including:
formatting data and metadata ready to be put into output databases;
loading data and metadata into output databases;
ensuring data are linked to the relevant metadata.

Note: formatting, loading and linking of metadata should preferably mostly take place in earlier phases, but this sub-process includes a check that all of the necessary metadata are in place ready for dissemination. 7.2. Produce dissemination products - This sub-process produces the products, as previously designed (in sub-process 2.1), to meet user needs. The products can take many forms including printed publications, press releases and web sites. Typical steps include:
preparing the product components (explanatory text, tables, charts etc.);
assembling the components into products;
editing the products and checking that they meet publication standards. 7.3. Manage release of dissemination products - This sub-process ensures that all elements for the release are in place including managing the timing of the release. It includes briefings for specific groups such as the press or ministers, as well as the arrangements for any pre-release embargoes. It also includes the provision of products to subscribers. 7.4. Promote dissemination products – Whilst marketing in general can be considered to be an over-arching process, this sub-process concerns the active promotion of the statistical products produced in a specific statistical business process, to help them reach the widest possible audience. It includes the use of customer relationship management tools, to better target potential users of the products, as well as the use of tools including web sites, wikis and blogs to facilitate the process of communicating statistical information to users. 7.5. Manage user support - This sub-process ensures that customer queries are recorded, and that responses are provided within agreed deadlines. These queries should be regularly reviewed to provide an input to the over-arching quality management process, as they can indicate new or changing user needs. This phase manages the evaluation of a specific instance of a statistical business process, as opposed to the more general over-arching process of statistical quality management described in Section VI. It logically takes place at the end of the instance of the process, but relies on inputs gathered throughout the different phases. For statistical outputs produced regularly, evaluation should, at least in theory occur for each iteration, determining whether future iterations should take place, and if so, whether any improvements should be implemented. However, in some cases, particularly for regular and well established statistical business processes, evaluation may not be formally carried out for each iteration. In such cases, this phase can be seen as providing the decision as to whether the next iteration should start from phase 1 (Specify needs) or from some later phase (often phase 4 (Collect)). 9.1. Gather evaluation inputs – Evaluation material can be produced in any other phase or sub-process. It may take many forms, including feedback from users, process metadata, system metrics and staff suggestions. Reports of progress against an action plan agreed during a previous iteration may also form an input to evaluations of subsequent iterations. This sub-process gathers all of these inputs, and makes them available for the person or team producing the evaluation. 9.2. Conduct evaluation – This sub-process analyzes the evaluation inputs and synthesizes them into an evaluation report. The resulting report should note any quality issues specific to this iteration of the statistical business process, and should make recommendations for changes if appropriate. These recommendations can cover changes to any phase or sub-process for future iterations of the process, or can suggest that the process is not repeated. 9.3. Agree an action plan – This sub-process brings together the necessary decision-making power to form and agree an action plan based on the evaluation report. It should also include consideration of a mechanism for monitoring the impact of those actions, which may, in turn, provide an input to evaluations of future iterations of the process. This phase is triggered when a need for new statistics is identified, or feedback about current statistics initiates a review. It determines whether there is a presently unmet demand, externally and / or internally, for the identified statistics and whether the statistical organization can produce them.
In this phase the organization:
determines the need for the statistics;
confirms, in more detail, the statistical needs of the stakeholders;
establishes the high level objectives of the statistical outputs;
identifies the relevant concepts and variables for which data are required;
checks if current collections and / or methodologies can meet these needs;
prepares the business case to get approval to produce the statistics.
This phase is broken down into six sub-processes. These are generally sequential, from left to right, but can also occur in parallel, and can be iterative. 1.1. Determine needs for information - This sub-process includes the initial investigation and identification of what statistics are needed and what is needed of the statistics. It also includes consideration of practice amongst other (national and international) statistical organizations producing similar data, and in particular the methods used by those organizations. 1.2. Consult and confirm needs - This sub-process focuses on consulting with the stakeholders and confirming in detail the needs for the statistics. A good understanding of user needs is required so that the statistical organization knows not only what it is expected to deliver, but also when, how, and, perhaps most importantly, why. For second and subsequent iterations of this phase, the main focus will be on determining whether previously identified needs have changed. This detailed understanding of user needs is the critical part of this sub-process. 1.3. Establish output objectives - This sub-process identifies the statistical outputs that are required to meet the user needs identified in sub-process 1.2 (Consult and confirm need). It includes agreeing the suitability of the proposed outputs and their quality measures with users. 1.4. Identify concepts - This sub-process clarifies the required concepts to be measured by the business process from the point of view of the user. At this stage the concepts identified may not align with existing statistical standards. This alignment, and the choice or definition of the statistical concepts and variables to be used, takes place in sub-process 2.2. 1.5. Check data availability - This sub-process checks whether current data sources could meet user requirements, and the conditions under which they would be available, including any restrictions on their use. An assessment of possible alternatives would normally include research into potential administrative data sources and their methodologies, to determine whether they would be suitable for use for statistical purposes. When existing sources have been assessed, a strategy for filling any remaining gaps in the data requirement is prepared. This sub-process also includes a more general assessment of the legal framework in which data would be collected and used, and may therefore identify proposals for changes to existing legislation or the introduction of a new legal framework. 1.6. Prepare business case - This sub-process documents the findings of the other sub-processes in this phase in the form a business case to get approval to implement the new or modified statistical business process. Such a business case would typically also include:
A description of the “As-Is” business process (if it already exists), with information on how the current statistics are produced, highlighting any inefficiencies and issues to be addressed;
The proposed “To-Be” solution, detailing how the statistical business process will be developed to produce the new or revised statistics;
An assessment of costs and benefits, as well as any external constraints. This phase describes the development and design activities, and any associated practical research work needed to define the statistical outputs, concepts, methodologies, collection instruments and operational processes. For statistical outputs produced on a regular basis, this phase usually occurs for the first iteration, and whenever improvement actions are identified in phase 9 (Evaluate) of a previous iteration.
This phase is broken down into six sub-processes, which are generally sequential, from left to right, but can also occur in parallel, and can be iterative. 2.1. Design outputs – This sub-process contains the detailed design of the statistical outputs to be produced, including the related development work and preparation of the systems and tools used in phase 7 (Disseminate). Outputs should be designed, wherever possible, to follow existing standards, so inputs to this process may include metadata from similar or previous collections, international standards, and information about practices in other statistical organizations from sub-process 1.1 (Determine need for information). 2.2 Design variable descriptions – This sub-process defines the statistical variables to be collected via the data collection instrument, as well as any other variables that will be derived from them in sub-process 5.5 (Derive new variables and statistical units), and any classifications that will be used. It is expected that existing national and international standards will be followed wherever possible. This sub-process may need to run in parallel with sub-process 2.3 (Design data collection methodology), as the definition of the variables to be collected, and the choice of data collection instrument may be inter-dependent to some degree. Preparation of metadata descriptions of collected and derived variables and classifications is a necessary precondition for subsequent phases. 2.3. Design data collection methodology - This sub-process determines the most appropriate data collection method(s) and instrument(s). The actual activities in this sub-process will vary according to the type of collection instruments required, which can include computer assisted interviewing, paper questionnaires, administrative data interfaces and data integration techniques. This sub-process includes the design of questions and response templates (in conjunction with the variables and classifications designed in sub-process 2.2 (Design variable descriptions)). It also includes the design of any formal agreements relating to data supply, such as memoranda of understanding, and confirmation of the legal basis for the data collection. This sub-process is enabled by tools such as question libraries (to facilitate the reuse of questions and related attributes), questionnaire tools (to enable the quick and easy compilation of questions into formats suitable for cognitive testing) and agreement templates (to help standardize terms and conditions). This sub-process also includes the design of process-specific provider management systems. 2.4. Design frame and sample methodology - This sub-process identifies and specifies the population of interest, defines a sampling frame (and, where necessary, the register from which it is derived), and determines the most appropriate sampling criteria and methodology (which could include complete enumeration). Common sources are administrative and statistical registers, censuses and sample surveys. This sub-process describes how these sources can be combined if needed. Analysis of whether the frame covers the target population should be performed. A sampling plan should be made: The actual sample is created sub-process 4.1 (Select sample), using the methodology, specified in this sub-process. 2.5. Design statistical processing methodology - This sub-process designs the statistical processing methodology to be applied during phase 5 (Process), and Phase 6 (Analyse). This can include specification of routines for coding, editing, imputing, estimating, integrating, validating and finalising data sets. 2.6. Design production systems and workflow - This sub-process determines the workflow from data collection to archiving, taking an overview of all the processes required within the whole statistical production process, and ensuring that they fit together efficiently with no gaps or redundancies. Various systems and databases are needed throughout the process. A general principle is to reuse processes and technology across many statistical business processes, so existing systems and databases should be examined first, to determine whether they are fit for purpose for this specific process, then, if any gaps are identified, new solutions should be designed. This sub-process also considers how staff will interact with systems, and who will be responsible for what and when. This phase builds and tests the production systems to the point where they are ready for use in the “live” environment. For statistical outputs produced on a regular basis, this phase usually occurs for the first iteration, and following a review or a change in methodology, rather than for every iteration. It is broken down into six sub-processes, which are generally sequential, from left to right, but can also occur in parallel, and can be iterative. 3.1. Build data collection instrument - This sub-process describes the activities to build the collection instruments to be used during the phase 4 (Collect). The collection instrument is generated or built based on the design specifications created during phase 2 (Design). A collection may use one or more modes to receive the data, e.g. personal or telephone interviews; paper, electronic or web questionnaires; SDMX hubs. Collection instruments may also be data extraction routines used to gather data from existing statistical or administrative data sets. This sub-process also includes preparing and testing the contents and functioning of that instrument (e.g. testing the questions in a questionnaire). It is recommended to consider the direct connection of collection instruments to the statistical metadata system, so that metadata can be more easily captured in the collection phase. Connection of metadata and data at the point of capture can save work in later phases. Capturing the metrics of data collection (paradata) is also an important consideration in this sub-process. 3.2. Build or enhance process components - This sub-process describes the activities to build new and enhance existing software components needed for the business process, as designed in Phase 2 (Design). Components may include dashboard functions and features, data repositories, transformation tools, workflow framework components, provider and metadata management tools. 3.3. Configure workflows - This sub-process configures the workflow, systems and transformations used within the statistical business processes, from data collection, right through to archiving the final statistical outputs. It ensures that the workflow specified in sub-process 2.6 (Processing system and workflow) works in practice. 3.4. Test production system – This sub-process is concerned with the testing of computer systems and tools. It includes technical testing and sign-off of new programmes and routines, as well as confirmation that existing routines from other statistical business processes are suitable for use in this case. Whilst part of this activity concerning the testing of individual components could logically be linked with sub-process 3.2 (Build or enhance process components), this sub-process also includes testing of interactions between components, and ensuring that the production system works as a coherent set of components. 3.5. Test statistical business process - This sub-process describes the activities to manage a field test or pilot of the statistical business process. Typically it includes a small-scale data collection, to test collection instruments, followed by processing and analysis of the collected data, to ensure the statistical business process performs as expected. Following the pilot, it may be necessary to go back to a previous step and make adjustments to instruments, systems or components. For a major statistical business process, e.g. a population census, there may be several iterations until the process is working satisfactorily. 3.6. Finalize production systems - This sub-process includes the activities to put the process, including workflow systems, modified and newly-built components into production ready for use by business areas. The activities include:
producing documentation about the process components, including technical documentation and user manuals
training the business users on how to operate the process
moving the process components into the production environment, and ensuring they work as expected in that environment (this activity may also be part of sub-process 3.4 (Test production system)). This phase collects all necessary data, using different collection modes (including extractions from administrative and statistical registers and databases), and loads them into the appropriate data environment. It does not include any transformations of collected data, as these are all done in phase 5 (Process). For statistical outputs produced regularly, this phase occurs in each iteration.
The Collect phase is broken down into four sub-processes, which are generally sequential, from left to right, but can also occur in parallel, and can be iterative. 4.1. Select sample - This sub-process establishes the frame and selects the sample for this iteration of the collection, as specified in sub-process 2.4 (Design frame and sample methodology). It also includes the coordination of samples between instances of the same statistical business process (for example to manage overlap or rotation), and between different processes using a common frame or register (for example to manage overlap or to spread response burden). Quality assurance, approval and maintenance of the frame and the selected sample are also undertaken in this sub-process, though maintenance of underlying registers, from which frames for several statistical business processes are drawn, is treated as a separate business process. The sampling aspect of this sub-process is not usually relevant for processes based entirely on the use of pre-existing data sources (e.g. administrative data) as such processes generally create frames from the available data and then follow a census approach. 4.2. Set up collection - This sub-process ensures that the people, processes and technology are ready to collect data, in all modes as designed. It takes place over a period of time, as it includes the strategy, planning and training activities in preparation for the specific instance of the statistical business process. Where the process is repeated regularly, some (or all) of these activities may not be explicitly required for each iteration. For one-off and new processes, these activities can be lengthy. This sub-process includes:
preparing a collection strategy
training collection staff
ensuring collection resources are available e.g. laptops
configuring collection systems to request and receive the data;
ensuring the security of data to be collected;
preparing collection instruments (e.g. printing questionnaires, pre-filling them with existing data, loading questionnaires and data onto interviewers’ computers etc.). 4.3. Run collection - This sub-process is where the collection is implemented, with the different collection instruments being used to collect the data. It includes the initial contact with providers and any subsequent follow-up or reminder actions. It records when and how providers were contacted, and whether they have responded. This sub-process also includes the management of the providers involved in the current collection, ensuring that the relationship between the statistical organization and data providers remains positive, and recording and responding to comments, queries and complaints. For administrative data, this process is brief: the provider is either contacted to send the data, or sends it as scheduled. When the collection meets its targets (usually based on response rates) the collection is closed and a report on the collection is produced. 4.4. Finalize collection - This sub-process includes loading the collected data and metadata into a suitable electronic environment for further processing in phase 5 (Process). It may include automatic data take-on, for example using optical character recognition tools to extract data from paper questionnaires, or converting the formats of data files received from other organizations. In cases where there is a physical data collection instrument, such as a paper questionnaire, which is not needed for further processing, this sub-process manages the archiving of that material in conformance with the principles established in phase 8 (Archive). This phase describes the cleaning of data records and their preparation for analysis. It is made up of sub-processes that check, clean, and transform the collected data, and may be repeated several times. For statistical outputs produced regularly, this phase occurs in each iteration. The sub-processes in this phase can apply to data from both statistical and non-statistical sources (with the possible exception of sub-process 5.6 (Calculate weights), which is usually specific to survey data).
The “Process” and “Analyse” phases can be iterative and parallel. Analysis can reveal a broader understanding of the data, which might make it apparent that additional processing is needed. Activities within the “Process” and “Analyse” phases may commence before the “Collect” phase is completed. This enables the compilation of provisional results where timeliness is an important concern for users, and increases the time available for analysis. The key difference between these phases is that “Process” concerns transformations of microdata, whereas “Analyse” concerns the further treatment of statistical aggregates.
This phase is broken down into eight sub-processes, which may be sequential, from left to right, but can also occur in parallel, and can be iterative. 5.1. Integrate data - This sub-process integrates data from one or more sources. The input data can be from a mixture of external or internal data sources, and a variety of collection modes, including extracts of administrative data. The result is a harmonized data set. Data integration typically includes:
matching / record linkage routines, with the aim of linking data from different sources, where those data refer to the same unit;
prioritising, when two or more sources contain data for the same variable (with potentially different values).
Data integration may take place at any point in this phase, before or after any of the other sub-processes. There may also be several instances of data integration in any statistical business process. Following integration, depending on data protection requirements, data may be anonymized, that is stripped of identifiers such as name and address, to help to protect confidentiality. 5.2. Classify and code - This sub-process classifies and codes the input data. For example automatic (or clerical) coding routines may assign numeric codes to text responses according to a pre-determined classification scheme. 5.3. Review, validate and edit - This sub-process applies to collected micro-data, and looks at each record to try to identify (and where necessary correct) potential problems, errors and discrepancies such as outliers, item non-response and miscoding. It can also be referred to as input data validation. It may be run iteratively, validating data against predefined edit rules, usually in a set order. It may apply automatic edits, or raise alerts for manual inspection and correction of the data. Reviewing, validating and editing can apply to unit records both from surveys and administrative sources, before and after integration. In certain cases, imputation (sub-process 5.4) may be used as a form of editing. 5.4. Impute - Where data are missing or unreliable, estimates may be imputed, often using a rule-based approach. Specific steps typically include:
the identification of potential errors and gaps;
the selection of data to include or exclude from imputation routines;
imputation using one or more pre-defined methods e.g. “hot-deck” or “cold-deck”;
writing the imputed data back to the data set, and flagging them as imputed;
the production of metadata on the imputation process; 5.5. Derive new variables and statistical units - This sub-process derives (values for) variables and statistical units that are not explicitly provided in the collection, but are needed to deliver the required outputs. It derives new variables by applying arithmetic formulae to one or more of the variables that are already present in the dataset. This may need to be iterative, as some derived variables may themselves be based on other derived variables. It is therefore important to ensure that variables are derived in the correct order. New statistical units may be derived by aggregating or splitting data for collection units, or by various other estimation methods. Examples include deriving households where the collection units are persons, or enterprises where the collection units are legal units. 5.6. Calculate weights - This sub process creates weights for unit data records according to the methodology created in sub-process 2.5 (Design statistical processing methodology). These weights can be used to “gross-up” sample survey results to make them representative of the target population, or to adjust for non-response in total enumerations. 5.7. Calculate aggregates - This sub process creates aggregate data and population totals from micro-data. It includes summing data for records sharing certain characteristics, determining measures of average and dispersion, and applying weights from sub-process 5.6 to sample survey data to derive population totals. 5.8. Finalize data files – This sub-process brings together the results of the other sub-processes in this phase and results in a data file (usually of macro-data), which is used as the input to phase 6 (Analyse). Sometimes this may be an intermediate rather than a final file, particularly for business processes where there are strong time pressures, and a requirement to produce both preliminary and final estimates. This phase manages the archiving and disposal of statistical data and metadata. Given the reduced costs of data storage, it is possible that the archiving strategy adopted by a statistical organization does not include provision for disposal, so the final sub-process may not be relevant for all statistical business processes. In other cases, disposal may be limited to intermediate files from previous iterations, rather than disseminated data.
For statistical outputs produced regularly, archiving occurs in each iteration, however defining the archiving rules is likely to occur less regularly. This phase is made up of four sub-processes, which are generally sequential, from left to right, but can also occur in parallel, and can be iterative. 8.1. Define archive rules – This sub-process is where the archiving rules for the statistical data and metadata resulting from a statistical business process are determined. The requirement to archive intermediate outputs such as the sample file, the raw data from the collect phase, and the results of the various stages of the process and analyse phases should also be considered. The archive rules for a specific statistical business process may be fully or partly dependent on the more general archiving policy of the statistical organization, or, for national organizations, on standards applied across the government sector. The rules should include consideration of the medium and location of the archive, as well as the requirement for keeping duplicate copies. They should also consider the conditions (if any) under which data and metadata should be disposed of. (Note – this sub-process is logically strongly linked to Phase 2 – Design, at least for the first iteration of a statistical business process). 8.2. Manage archive repository – This sub-process concerns the management of one or more archive repositories. These may be databases, or may be physical locations where copies of data or metadata are stored. It includes:
maintaining catalogues of data and metadata archives, with sufficient information to ensure that individual data or metadata sets can be easily retrieved;
testing retrieval processes;
periodic checking of the integrity of archived data and metadata;
upgrading software-specific archive formats when software changes.
This sub-process may cover a specific statistical business process or a group of processes, depending on the degree of standardization within the organization. Ultimately it may even be considered to be an over-arching process if organization-wide standards are put in place. 8.3. Preserve data and associated metadata – This sub-process is where the data and metadata from a specific statistical business process are archived. It includes:
•identifying data and metadata for archiving in line with the rules defined in 8.1;
formatting those data and metadata for the repository;
loading or transferring data and metadata to the repository;
cataloguing the archived data and metadata;
verifying that the data and metadata have been successfully archived. 8.4. Dispose of data and associated metadata – This sub-process is where the data and metadata from a specific statistical business process are disposed of. It includes;
identifying data and metadata for disposal, in line with the rules defined in 8.1;
disposal of those data and metadata;
recording that those data and metadata have been disposed of. GSBPM – Phase 1 –Specify Needs
Draft
Sub-process 1.1 Determine needs for information Process Input
Transformable input
n/a
Parameter Input
n/a
Process Support Input
Environmental Change
(Evaluation) Assessment from Phase 9
Information Request Process step
(Create/Read/Update/Delete)
Processed input:
Analyze Environment Change
Analyze (Evaluation) Assessment
Analyze Information Request
Production of outputs:
Create Statistical Need

Supporting Guidelines/Documentation
GSBPM v4.0
GSIM v1.0
National guidelines Process Output
Transformed Output:
Statistical Need
Process Metric:
n/a




Feedback
... GSBPM – Phase 1 –Specify Needs
Draft
Sub-process 1.2 Consult and confirm needs Input
Information objects
List of required inputs grouped by
Process Input Specification
Transformable input
...
Parameter Input
...
Process Support Input
Statistical Need from 1.1
Business Case from 1.6 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Input - read/update/delete
Statistical Need - read
Business Case - read
Output – create/update/delete
Change Definition – create

Supporting Guidelines/Documentation
The precise structure or organization of a Change Definition can be further specified by rules or standards local to a given organization
GSBPM v4.0
GSIM v1.0 Output
Information objects
List of requested outputs grouped by
Process Output Specification
Transformed Output
Change Definition
Process Metric
...


Feedback
Business Case – request update in 1.6 GSBPM – Phase 1 –Specify Needs
Draft
Sub-process 1.3 Establish output objectives Input
Information objects
List of required inputs grouped by
Process Input Specification
Transformable input
Unit from Information Resource
Analysis Unit from Information Resource
Target Population from Information Resource
Variable from Information Resource
Parameter Input
...
Process Support Input
Change Definition from 1.2
Concepts from 1.4 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Input - read/update/delete
Change Definition – read
Concepts – read
Variables – read
Target Population – read
Unit – read
Analysis Unit – read
Output – create/update/delete
Target Population – create/update
Unit – create/update
Analysis Population – create/update
Analysis Unit – create/update
Assessment – create/update

Supporting Guidelines/Documentation
GSBPM v4.0
GSIM v1.0 Output
Information objects
List of requested outputs grouped by
Process Output Specification
Transformed Output
Target Population
Unit
Analysis Population
Analysis Unit
Assessment
Process Metric
...






Feedback
Change Definition – request update in 1.2
Concepts – request update in 1.4 GSBPM – Phase 1 –Specify Needs
Draft
Sub-process 1.4 Identify concepts Input
Information objects
List of required inputs grouped by
Process Input Specification
Transformable input
Concepts from Information Resource
Parameter Input
...
Process Support Input
Change Definition from 1.2
Subject Field
Unit from 1.3 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Input - read/update/delete
Change Definition – read
Subject Field – read
Unit – read
Output – create/update/delete
Concepts – create/update
Variables – create/update

Supporting Guidelines/Documentation
GSBPM v4.0
GSIM v1.0 Output
Information objects
List of requested outputs grouped by
Process Output Specification
Transformed Output
Concepts
Variables
Process Metric
...


Feedback
Change Definition – request update in 1.2 GSBPM – Phase 1 –Specify Needs
Draft
Sub-process 1.5 Check data availability Input
Information objects
List of required inputs grouped by
Process Input Specification
Transformable input
...
Parameter Input
...
Process Support Input
Information Resource
Provision Agreement
Environment Change
Change Definition from 1.2
Concepts from 1.4
Variables from 1.4 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)

Input - read/update/delete
Information Resource– read
Change Definition – read
Concepts – read
Variables – read
Provision Agreement - read
Output – create/update/delete
Assessment – (Gap Analysis) – create/update

Supporting Guidelines/Documentation
GSBPM v4.0
GSIM v1.0 Output
Information objects
List of requested outputs grouped by
Process Output Specification
Transformed Output
Assessment (Gap Analysis)
Process Metric
...







Feedback
... GSBPM – Phase 1 –Specify Needs
Draft
Sub-process 1.6 Prepare business case Input
Information objects
List of required inputs grouped by
Process Input Specification
Transformable input
...
Parameter Input
...
Process Support Input
Change Definition from 1.2
Assessment (Gap Analysis) from 1.5
Assessment from phase 9?
Concepts from 1.4
Variables from 1.4
Statistical Program from phase 2 or 8
Statistical Program Design from phase 2 or 8
Statistical Need from phase 1 or 9 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)

Input - read/update/delete
Change Definition – read
Gap Analysis – read
Assessment – read
Concepts – read
Variables – read
Statistical Program – read
Statistical Program Design – read
Output – create/update/delete
Business Case – create/update

Supporting Guidelines/Documentation
GSBPM v4.0
GSIM v1.0 Output
Information objects
List of requested outputs grouped by
Process Output Specification
Transformed Output
Business Case
Process Metric
...







Feedback
Change definition - request update in 1.2 GSBPM – Phase 2 – Design
Draft
Sub-process 2.1 – Design Outputs Process Steps
(Create/Analyse/Consult/Use/Update/Delete)
Processed input:
Consult the partial Statistical Program Design and the Business Case to understand the agreed output objectives and the design features and constraints which will apply from a business perspective when addressing these objectives.
Consult dissemination policies, guidelines and tool sets to understand available options for dissemination formats and channels.
Consult Statistical Need (1.1), Change Definition (1.2), Assessment (1.3) and Gap Analysis (1.5) for additional detail.
Consult Units (1.3), Populations (1.3), Concepts (1.4) and Variables (1.4) to better understand user objectives related to the output.
Consult agency standards in regard to defining output Variables and Classifications.
Production of outputs:
Update design specification of the Information Resource to be produced via the Statistical Business Process. The resultant specification must be to a sufficient level of detail to identify what content will be made available through Products and Dissemination Services.
Updating the specification of the Information Resource may lead to updating the specification of Units, Populations, Concepts, Variables and Classifications which will actually be represented in the output.
Design the Products and Dissemination Services which will be made available to disseminate outputs from the Statistical Business Process. This includes a broad description of the content which will be available via Products and Dissemination Services (eg what cross tabulations will be available for key output Variables to what level of detail to what level of statistical quality for what (sub) Populations.
Update the Statistical Program Design (particularly the Dissemination Design) to reflect decisions made, and specifications agreed, during this sub-process.
Includes summary of Process Steps to be undertaken in Phase 7.

Supporting Guidelines/Documentation
Documentation of dissemination policies, guidelines and toolsets.
Agency standards in regard to output Variables and Classifications etc. Process Outputs
Transformed output:
Updated Information Resource (design only)
The design of the Information Resource to be produced via the Statistical Business Process.
Products (design only)
Dissemination Services (design only)
Includes specification of which Dissemination Services will be used and (broadly) the content to be made available through each.
Updated Statistical Program Design
Particular focus on Dissemination Design.
Includes summary of Process Steps to be undertaken in Phase 7.
Secondary
The process of designing outputs may lead to updates to specifications of Units, Populations, Concepts, Variables and Classifications which will actually be represented in the output.
This is not a feedback loop to 1.3 and 1.4 - the user specifications in regard to Units, Populations, Concepts and Variables should not be updated. The specification of what will actually be produced as outputs, however, may need to be updated. These updates will then feed into later sub-processes in the Design phase.
Process Metric:
n/a



Feedback
. Notes
Assumed progressive definition of the Statistical Program Design during GSBPM Phase 2

Initiation of GSBPM Phase 2 (new design work) is assumed to occur when an agency decides to implement a proposition set out in a (original or revised) Business Case (1.6).

An agency deciding to implement a Business Case would imply that
one or more existing Statistical Programs will have their Statistical Program Design updated and/or
one or more new Statistical Programs, with new Statistical Program Designs, will be initiated

GSBPM’s point of reference is a Statistical Business Process. From a GSIM perspective, each Statistical Business Process will be a Statistical Program with an associated (potentially versioned) Statistical Program Design.

While a single Business Case may lead to several different Statistical Business Processes being initiated or revised, when we describe Phase 2 we are talking about it in the context of a particular Statistical Business Process and therefore in the context of a particular Statistical Program.

It is assumed that partial high level outlines of new Statistical Program Designs, and/or of new versions of existing Statistical Program Designs, can be considered as initiated at the time the Business Case is agreed. For conciseness, each case of a completely new Statistical Program Design and each case of a new version of an existing Statistical Program Design is simply referred to as a “new” Statistical Program Design from here on.

Prior to the Design phase commencing in earnest, the new Statistical Program Design can be considered as being “prepopulated” with high level design features that were specified and agreed as part of the Business Case. The Design phase leads to the Statistical Program Design becoming fully developed.

It is further assumed that the Business Case, and therefore the initial outline of the Statistical Program Design, includes a high level description of the new Information Resource which will be produced as a result of the Statistical Business Process. GSBPM – Phase 2 – Design
Draft
Sub-process 2.2 - Design variable descriptions Process Inputs
Primary
Business Case (from 1.6)
Partial Statistical Program Design (from 1.6, 2.1)
Specification of Information Resource to be produced by Statistical Program (from 2.1)
Concepts (1.4, 1.5, 2.1)
Variables (1.4, 1.5, 2.1)
Gap Analysis (1.5)
Secondary
Units (1.3, 2.1)
Populations (1.3,2.1)
Instrument (2.3) Process Steps
Read Business Case and partial Statistical Program Design for overview of outputs that will produced, data sources that will be used and business processes to be undertaken in between.
Read specification of Information Resource to be produced, with a focus on what Concepts and Variables will be represented in the output.
For existing data sources that will be used in the Collect Phase, read the specification of the Concepts and Variables used in those sources.
Read the Gap Analysis (1.5) for any advice on the Concepts and Variables in existing data sources need to be supplemented and/or transformed in order to meet user needs.
Consult agency standards in regard to defining Variables and Classifications.
Complete the definition of output Variables.
Complete definition of input Variables which will be collected via Instruments.
Define all “intermediate” Variables that are not collected directly as inputs or disseminated directly as outputs.
Specify derivation Rules for calculating output/intermediate Variables from input/intermediate Variables

Supporting Guidelines/Documentation
Agency standards in regard to definition of Variables and Classifications (and Concepts, Units and Populations)
Existing “non standardised” Variables and Classifications (and Concepts, Units and Populations)
Policies on use of Standards and re-use of existing definitions Process Outputs
Primary
Updated Statistical Program Design with list of Variables to be used
Includes existing Variables as well as Variables defined specifically for this Statistical Business Process
Newly defined Variables
Update Statistical Program Design with schedule of derivation Rules to be used.
Likely to include re-use of existing Rules as well as Rules defined specifically for this Statistical Business Process
Newly defined Rules
Secondary
Definition of new Variables may require definition of new Concepts, Classifications, Populations and Units.
Process Metrics may be gathered on
Alignment with Standards
percentage re-use

Feedback Notes
User described Variables from 1.4 will be inputs into the creation of Variables in 2.2.

Variables from 1.5 may either be re-used as existing Instance Variables, or used to create new derived Variables in conjunction with derivation Rules.

As noted above, Variable design may also include derivation Rules for Variables which are not directly collected from a Population, but rather derived from other collected Variables, or existing Instance Variables. This derivation will occur in sub-phase 5.5 Derive new variables and statistical units.

The design of new Variables will also be influenced by both the Population and the Instrument used for data collection. GSBPM – Phase 2 – Design
Draft
Sub-process - 2.3 Design data collection methodology Process Inputs
Primary
Partial, high level Statistical Program Design setting out agreed features based on Business Case (from 1.6, 2.1, 2.2)
Particular focus on Acquisition Design.
Variables to be collected (from 1.5, 2.2) Process Steps
Read Business Case and partial Statistical Program Design for overview of data collection activities that will be required as part of Acquisition Design.
Determine whether the data collection methodology needs to focus on acquisition of data from existing sources, direct collection of data from a Survey Population (typically via Instruments with Questions) or a combination of both.
Consult legal basis for data collection.
Acquire data from an existing data source
Review the Variables proposed to be collected from the data source.
Ensure an appropriate Provision Agreement is in place
May require negotiating a new Provision Agreement or updates to existing Provision Agreement.
Consult Agency guidelines on negotiating and managing Provision Agreements.
Establish Process Step Designs for acquiring data from the existing data source during the Collect Phase.
Direct collection of data from a Survey Population
Review the Variables proposed to be collected.
Determine Data Channels, Instrument Implementations and Modes which will be used to collect data.
Consult agency guidelines on data collection methodologies
Design Instruments comprising Question Blocks and Questions.
Consult agency instrument design guidelines, including policy on reusing Question Blocks and Questions.
Consult libraries of Standard Question Blocks and Questions.
Consult libraries of existing (but not yet standardised) Question Blocks and Questions for possible reuse.
May require definition of new Question Blocks and Questions.
Question definition and testing may determine that a proposed input Variable cannot be collected reliably. This will lead to an updated definition of the Variable to be collected.
Establish Process Step Designs for acquiring data from the Survey Population during the Collect Phase.
All cases
Update the Statistical Program Design
Particular focus on Acquisition Design.
Summary of Process Steps to be undertaken in 4.2, 4.3 & 4.4
Design Data Structures which will hold the collected data at the completion of 4.4

Supporting Guidelines/Documentation
Information on legal basis for data collection (both general and specific to this Statistical Business Process)
Agency guidelines on negotiating and managing Provision Agreements.
Agency guidelines on data collection methodologies.
Agency instrument design guidelines, including policy on reusing Question Blocks and Questions on data collection methodologies.
Existing Provision Agreements
Libraries of Standard Question Blocks and Questions
Libraries of existing (but not yet standardised) Question Blocks and Questions
Libraries of existing Process Step patterns associated with the Collect Phase. Process Outputs
Primary
Updated Statistical Program Design
Particular focus on Acquisition Design.
Summary of Process Steps to be undertaken in 4.2, 4.3 & 4.4
Design of Data Structures which will hold the collected data at the completion of 4.4
(Potentially) new and/or updated Provision Agreements
(Potentially) new Instruments
(Potentially) new Question Blocks and Questions
Secondary
Process Metrics may be gathered on
Alignment with Standards
percentage of Question / Question Block re-use




Feedback
Possible need to update definition of Variables to be collected (2.2) based on definition and testing of Questions. GSBPM – Phase 2 – Design
Draft
Sub-process 2.4 - Design frame and sample methodology Process Inputs
Primary
Partial, high level Statistical Program Design setting out agreed features based on Business Case (from 1.6, 2.1, 2.2, 2.3)
Particular focus on
Acquisition Design.
Populations associated with the Variables listed in the Statistical Program Design (2.2)
Target Populations of interest to the user (1.4) Process Steps
Read Business Case and partial Statistical Program Design for overview of sample methodology that will be required as part of Acquisition Design.
Where relevant, identify existing Frames which can provide the appropriate Frame Population
In some cases there may be a need to design new Frames, including frame maintenance processes.
Identification of existing Frames is likely to include identification of the Information Resource (eg Business Register) which is the source of that Frame.
Identify relationship between Frame Populations and Target Populations.
Where relevant, enumerate and define the Survey Populations which will be sourced from the Frame Populations. This will include defining parameters such as sample size and stratification, together with Process Step Designs for selecting the sample in 4.1.
Where data will be obtained from multiple sources, define
the Population associated with each source
the relationship between the different Populations
the Rules and Process Step Designs required to integrate the data from multiple sources based on respective Populations
Where relevant, define Rules for deriving new Analysis Populations in 5.5
Update the Statistical Program Design
Particular focus on Acquisition Design.
Summary of Process Steps to be undertaken in 4.1

Supporting Guidelines/Documentation
Documentation of existing Frames within the Agency.
Agency guidelines on sample design.
Libraries of existing Process Step patterns associated with Select Sample (4.1) Process Outputs
Primary
Updated Statistical Program Design
Particular focus on Acquisition Design.
Even more particularly, “Sample Design”
Summary of Process Steps to be undertaken in 4.1
Newly defined Populations
Population based Rules for integrating data from multiple sources (eg in 5.1).
The Rules for deriving new Analysis Populations in 5.5.







Feedback GSBPM – Phase 2 – Design
Draft
Sub-process 2.5. - Design statistical processing methodology Process Inputs
Primary
Partial, high level Statistical Program Design setting out agreed features based on Business Case (from 1.6, 2.1, 2.2, 2.3, 2.4)
Particular focus on
Production Design.
Acquisition Design as the starting point.
Dissemination Design as the target point.
Design of Data Structures which will hold the collected data at the completion of 4.4 (2.3)
The design of the Information Resource to be produced via the Statistical Business Process (2.1) Process Steps
Read Business Case and partial Statistical Program Design for overview of statistical processing required within Production Design.
Identify Business Functions which will be required during Phase 5 and Phase 6.
Identify the preferred Production Methods and Rules for performing each Business Function.
Establish high level Process Step Design for each required Business Function.
Includes identifying Process Input Specifications and Process Output Specifications.
The source of any input in a Process Input Specification needs to be identified. The source may be a previous Process Step.
Output specifications should include the Process Metrics to be captured.
Update the Statistical Program Design
Particular focus on Production Design.

Supporting Guidelines/Documentation
Methodological guidelines for various Business Functions (eg “Impute missing values”, “Estimation”)
Process quality management guidelines which advise on Process Metrics which should be captured. Process Outputs
Primary
Updated Statistical Program Design
Particular focus on Production Design.
Once 2.5 is completed, all of the main elements of the Statistical Program Design will have been populated (Acquisition Design, Production Design and Dissemination Design)
The Statistical Program Design is not fully detailed, however, because workflows remain to be addressed in 2.6.
The high level design of the Process Steps to be performed in Phase 5 and Phase 6.
The design includes specifications of the inputs and outputs for each step.
Output specifications should include the Process Metrics to be captured.

Feedback
The design from earlier sub-processes (2.1 to 2.4) may need to be updated. In particular, 2.1 relates to Dissemination Design and 2.3 & 2.4 relate to Acquisition Design. While the Production Design is being defined during 2.5 to connect the end point with the start point, needs may be identified to adjustment either end. GSBPM – Phase 3 – Build
Draft
Sub-process 3.1 - Build data collection instrument Process Input
Transformable input
n/a
Parameter Input
n/a
Process Support Input
Completed Statistical Program Design from 2.6
Documented set of Process Step designs for Phase 4 to Phase 8 from 2.6
List of new system solutions (if any) that need to be built before an Acquisition Activity can be conducted in accordance with the Statistical Program Design from 2.6
Information Resource with Acquisition Design and Instrument implementation from previous cycles of existing statistics Process Step
(Create/Analyse/Consult/Use/Update/Delete)
Processed input - read/update/delete
Consult and analyse
Information Resource
Statistical Program Design
Process Step Design for phase 4
Production of outputs:
Create/update Instrument Implementation-
Update Information Resource
Create Process Metric

Supporting Guidelines/Documentation
National guidelines for questionnaire design
International guidelines for questionnaire design Process Output
Transformed Output
Information Resource with new Instrument implementation

Process Metric
n/a




Feedback
Request update in 2.6 as appropriate GSBPM – Phase 3 – Build
Draft
Sub-process 3.2. Build or enhance process components Input
Information objects
List of required inputs grouped by
Process Input Specification
Transformable input
...
Parameter Input
...
Process Support Input
... Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
...
Input - read/update/delete
...
Output – create/update/delete
...











Supporting Guidelines/Documentation
... Output
Information objects
List of requested outputs grouped by
Process Output Specification
Transformed Output
...

Process Metric
...











Feedback
... GSBPM – Phase 4 – Collect
Draft
Sub-process 4.3 Run collection GSBPM – Phase 4 – Collect
Draft
Sub-process 4.1 - Select sample Process Input
Transformable input
n/a

Parameter Input
Sampling criteria, (2.4);
Sampling methodology, (2.4);

Process support:
Statistical Program Design
Sample Design
Process steps
Business Services (SW Applications)
Application to select the frame
Application to select the sample
Information resource
Metadata database
Units register
Sampling Frame
Population Process Step
(Create, Use, Consult, Analyze, Update, Delete)

Processed inputs:
Consult Statistical Program Design
Sample Design
Process Step Design
Use Information resource
Metadata database
Units register
Sampling frame
Consult Population

Production of outputs:
Update Information resource (sampling frame)
Create/Update Data set (sample)
Create Process Step Execution Record
Create Process Metric


Supporting Guidelines/Documentation
User manual for data marts application
Time table for the given phase of the GSBPM
Instruction for processing Process Output
Transformed Output
Data Set: Sample
Information resource:
Metadata database
Sampling frame
Process Step Execution Record

Process Metric
Sample sizes
Sampling error








Feedback
... GSBPM – Phase 2 – Design
Draft
Sub-process 2.6. - Design production systems and workflow Process Inputs
Primary
High level Statistical Program Design from 2.1, 2.2, 2.3, 2.4, 2.5)
High level design of Process Steps for Phase 4 (2.3 & 2.4), Phase 5 & 6 (2.5) and Phase 7 (2.1) Process Steps
Read high level Statistical Program Design, including high level design of Process Steps.
Complete design of Process Steps for Phase 4 to Phase 8 by
Detailing the systems to be used.
An IT system is viewed as delivering a Business Service which is used to perform (“execute”) a Process Step within a Statistical Program Design
Checking and detailing the workflow between Process Steps for Phase 4 to Phase 7.
This leads to definition of Process Controls, including Workflow Rules
Designing the Process Steps for Phase 8.
Where necessary, produce a list of new system solutions that need to be built.
Identify roles and responsibilities for putting the Statistical Program Design into effect as a Statistical Activity. This includes relative timings for performing various Process Steps (a generic schedule).
Produce documentation of Statistical Program Design and Process Step designs as an output from Phase 2 overall.
Apply agency documentation standards where these exist.
If one exists, undertake the Agency process to have the proposed Statistical Program Design and Process Step designs formally reviewed and endorsed.

Supporting Guidelines/Documentation
Library of reusable Process patterns typically associated with particular Business Functions and Process Methods.
Library of re-usable Business Services/Systems available to perform specific Business Functions and Process Methods.
Agency policies regarding use of existing Systems (eg preferred vs non preferred systems, systems which are being phased out, recommended limitations on use of a particular systems)
Agency standards for documenting Statistical Program Designs and Process Step Designs.
Agency processes to have proposed Statistical Program Designs and Process Step Designs formally reviewed and endorsed. Process Outputs
Primary
Completed Statistical Program Design
Documented set of Process Step Designs for Phase 4 to Phase 8.
List of new system solutions (if any) that need to be built before a Statistical Activity can be conducted in accordance with the Statistical Program Design.









Feedback
Particular systems used to support the Statistical Program Design may have particular information input requirements and/or information output limitations. The design from earlier sub-processes (2.1 to 2.5) may need to be updated. Notes

Assumed “rolling-up” of outputs from earlier sub-processes in Phase 1 by the Business Case.

It is assumed that Business Case, the primary output from 1.6, recognises and “rolls up” the outputs from earlier sub-processes in Phase 1. The Business Case encapsulates how the Design phase should proceed based on those earlier outputs.

One set of examples are Statistical Need (1.1), Change Definition (1.2), Assessment (1.3) and Gap Analysis (1.5). While undertaking sub-processes in the Design phase there may be direct reference to those earlier outputs - seeking additional information or clarification. Primary reference, however, will be to the Business Case which set out the broad way forward based on those earlier inputs.

Similarly 1.3 produced outputs related to Units and Populations from a user needs perspective and 1.4 produced outputs related to Concepts and Variables from a user perspective “which may not align with existing standards”. It is currently assumed the Business Case will provide high level direction on the extent to which the Design is expected to maintain alignment with existing standards, and support comparability with existing sources, versus the extent to which it should support “new and different” output definitions that more closely correspond with the needs as set out by the users. Notes

Assumed scope of sub-process 2.1

The description of the sub-process in GSBPM V4.0 makes it clear that 2.1 includes design of output products (eg publications, spreadsheets, on line databases). This could be considered design of Products and Dissemination Services in terms of GSIM V1.0.

What is not stated so explicitly is the extent to which this sub-process includes adding more detail in terms of the design of the Information Resource the Statistical Business Process is going to produce. As GSIM V1.0 states, a Dissemination Service exposes the Information Resource – so to design the Dissemination Service in this sub-process we need to have an idea of the Information Resource which will be produced for output purposes. For example, what essential cross tabulations, to what level of detail and statistical quality, are expected to be possible in terms of the “output” Variables to be produced? (While user needs/objectives in this regard were established in 1.3, 2.1 addresses the extent to which the outputs from the Statistical Business Process are expected to meet these needs.)

User objectives in terms of Units and Populations were established in 1.3. User objectives in terms of Concepts and Variables were established in 1.4. Factors such as viability of collecting input concepts, cost, alignment with standards and harmonisation with existing sources may mean, however, that the design of the Information Resource to be produced may not correspond directly to the outputs from 1.3 and 1.4. The Business Case is assumed to contain some degree of strategic decision making and direction in this regard. 2.1 is then assumed to further crystallises the design of the Information Resource to be produced and therefore (broadly) the Units, Populations, Concepts, and Variables which will actually be represented in the output. Notes
The wording in GSBPM for this sub process refers specifically to “data collection to archiving” (ie Phase 4 to Phase 8).

While Phase 9 (“Evaluation”) may tend to be undertaken more on an “ad hoc” than planned basis currently, there is a strong sense (in the ABS at least) that the basics of “Evaluation” should be designed during Phase 2 along with designing Phase 4 to Phase 8.

This would allow, for example, targets and benchmarks which are expected to be assessed during Evaluation to be defined in advance, together with Process Metrics which will be used to assess performance against the targets and benchmarks.

At a minimum this suggests 9.1 (evaluation inputs) should be planned in advance. Designing 9.1 correctly requires, in turn, at least some expectations of the basis on which evaluation itself is likely to be conducted (9.2). (It is recognised, of course, that important topics for evaluation may arise which were not planned for in advance.)

At this stage the content in the template does not reflect the consideration of planning and designing to support Phase 9. It is proposed, instead, to raise this consideration for possible inclusion in the next version of GSBPM during the review of V4.0 later in 2013. GSBPM – Phase 5 – Process
Draft
Sub-process 5.1 – Integrate data Input
Information objects
Process Input
Production Activity from phase 3
Matching/record linkage routines
Anonymization routines
Rules
Assessment from phase 4
Data Set from phase 4
Data Structure from phase 4 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Integrates data from different sources
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set – create/update
Data Structure – create/update
Assessment – update

Supporting Guidelines/Documentation
Description/Details of out integrated data resources
Guideline 2 Output
Information objects
Process Output
Data set
Data structure
Assessment










Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 5 – Process
Draft
Sub-process 5.2 – Classify and code Input
Information objects
Process Input
Production Activity from phase 3
Coding routines
Assessment from 5.1
Data Set from 5.1
Data Structure from 5.1
Classification
Concept Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Classifies and codes
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set – create/update
Data Structure – create/update
Assessment – update

Supporting Guidelines/Documentation
Dictionary of classification
Guideline 2 Output
Information objects
Process Output
Data set
Data structure
Assessment










Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 5 – Process
Draft
Sub-process 5.3 – Review, validate and edit Input
Information objects
Process Input
Production Activity from phase 3
Rule
Edit routines
Assessment from 5.2
Data Set from 5.2
Data Structure from 5.2 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Input data validation
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set – create/update
Data Structure – create/update
Assessment – update

Supporting Guidelines/Documentation
User manuals (already added)
Design of methods (already added) Output
Information objects
Process Output
Data set
Data structure
Assessment










Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 5 – Process
Draft
Sub-process 5.4 Impute Input
Information objects
Process Input
Production Activity from phase 3
Rule
Imputation routines
Process method (imputation)
Assessment from 5.3
Data Set from 5.3
Data Structure from 5.3 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Identification of possible errors and gaps;
Selection of data to include or exclude from imputation routines;
Imputation (using methods and routines);
Updata data sets with flags on imputed data;
Production of metadata on the imputation process
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set – create/update
Data Structure – create/update
Assessment – update

Supporting Guidelines/Documentation
Type of imputation rules (routines)
Guideline 2 Output
Information objects
Process Output
Data set
Data structure
Assessment
Application log
Change log (sensibility analysis/impact)











Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 5 – Process
Draft
Sub-process 5.5 – Derive new variables and statistical units Input
Information objects
Process Input
Production Activity from phase 3
Rule
Process method (formulae, estimation methods)
New variables routines
Assessment from 5.4
Data Set from 5.4
Data Structure from 5.4 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Derive new variables;
Derive new statistical units
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set – create/update
Data Structure – create/update
Variable – create
Unit - create
Assessment – update

Supporting Guidelines/Documentation
Type of imputation rules (routines)
Guideline 2 Output
Information objects
Process Output
Data set
Data structure
Assessment
New Variables (created)












Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 5 – Process
Draft
Sub-process 5.6 – Calculate weights Input
Information objects
Process Input
Production Activity
Process method from 2.5
Assessment from 5.5
Data Set from 5.5
Data Structure from 5.5 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Create weights for unit data records;
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set – create/update
Data Structure – create/update
Assessment – update

Supporting Guidelines/Documentation
Guideline 1
Guideline 2 Output
Information objects
Process Output
Data set
Data structure
Assessment
New Variables (created)









Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 5 – Process
Draft
Sub-process 5.7 – Calculate aggregates Input
Information objects
Process Input
Production Activity
Rule
Aggregation routine;
Assessment from 5.6
Data Set (clean micro-data) from 5.6
Data Structure from 5.6 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Aggregates data;
Create Population totals;
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set (aggregate) – create/update
Data Structure – create/update
Assessment – update

Supporting Guidelines/Documentation
Guideline 1
Guideline 2 Output
Information objects
Process Output
Data set (aggregate data)
Data set (clean micro-data) from 5.6
Data structure
Assessment








Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 5 – Process
Draft
Sub-process 5.8 – Finalize data files Input
Information objects
Process Input
Production Activity
Rule
Assessment from 5.7
Data Set (aggregate data) from 5.7
Data set (clean micro-data) from 5.6
Data Structure from 5.8 Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
-Confirms data
Input - read/update/delete
Production Activity – read
Data Set - read
Data Structure - read
Assessment - read
Output – create/update/delete
Data Set (aggregate) – create/update
Data Structure – create/update
Assessment – update

Supporting Guidelines/Documentation
Description of imputation rules
Metadata information Output
Information objects
Process Output
Data set (aggregate data)
Data set (clean micro-data)
Data structure
Assessment







Feedback
Request update of Input x from sub-process A.B GSBPM – Phase 4 – Collect
Draft
Sub-process 4.2 - Set up collection Input
Information objects
Process Input
Transformable input
DS1: Data Set from 4.1
Instrument from 3.1
Parameter Input
Process Step Design from 2.3
P1: Statistical Program
P2: Statistical Program Cycle
P3: Data Location
P4: Process Method
Business Services
AP1: Application for loading interviewers’ computers
AP2: Application for creating usernames and passwords
AP3: Application for creating files containing the questionnaires Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Preparing a collection strategy
Training collection staff
Ensuring collection resources are available e.g. laptops
Configuring collection systems to request and receive the data
Ensuring the security of data to be collected
Preparing collection instruments (e.g. printing questionnaires, pre-filling them with existing data, loading questionnaires and data onto interviewers’ computers etc.).




Supporting Guidelines/Documentation
User manuals supporting the process steps Output
Information objects
Process Output
Transformed Output
O1: Data Set - Observation Units (not transformed, but loaded/moved to e.g. interviewers’ computers)
O2: Instrument Implementation (Printed paper questionnaires)
Process Metric
M1: Run-time records on the AP1-AP3 run





Feedback
... Input
Information objects
Process Input
Transformable input
DS1: Data Set - Collected data
Parameter Input
Process Step Design from 2.3
P1: Statistical Program
P2: Statistical Program Cycle
P3: Data Location
P4: Process Method
P5: Code describing whether providers have responded or not
Process support
PS1: Metadata database
Business Services
AP1: Application for creating response rates Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Initial contact with providers
Follow-up actions
Reminder actions
Sample management
During the process the staff creates records on what was agreed in the contacts with providers.
Determine if the collection meets its targets by using (read) process data on response rates.






Supporting Guidelines/Documentation
User manuals supporting the process steps Output
Information objects
Process Output
Transformed Output
O1: Data Set
O2: Instrument Implementation (Paper questionnaires – filled in)
O3: Report on the collection
O4: Documentation of contacts with providers
Process Metric
M1: When and how providers were contacted
M2: Response rates




Feedback
... GSBPM – Phase 4 – Collect
Draft
Sub-process 4.4 Finalize collection Input
Information objects
Process Input
Transformable input
DS1: Data Set from 4.3
DS2: Instrument Implementation (Paper questionnaires – filled in)
Parameter Input
Process Step Design from 2.3 and 8.1
P1: Statistical Program
P2: Statistical Program Cycle
P3: Data Location
P4: Process Method
Process support
PS1: Metadata database
Business Services
... Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Loading the collected data and metadata
Archiving












Supporting Guidelines/Documentation
User manuals supporting the process steps Output
Information objects
Process Output
Transformed Output
O1: Data Set
O2: Archived paper questionnaires
Process Metric
...










Feedback
... GSBPM – Phase 6 – Analyse
Draft
Sub-process 6.1 Prepare draft outputs Input
Information objects
Process Input
Transformable input
DS1: data warehouse (primary and aggregated data accompanied by metadata) of observed time period and (optionally) of previous time period/s (product of the phase 5 – Process);
Parameter Input
P1: Input parameters for the transformation application/s (e.g. extremes, seasonal adjustment, data confidentiality (data disclosure), source: phase 2-Design;
P2: List of required output, source: phase 2-Design;
P3: Output specifications, source: phase 2 – Design);
Process support
PS1: Classifications and code-lists
PS2: Metadata database
PS3: Business register
Business Services
AP1: Aggregation application/s (source: phase 3 –Build);
AP2: Application for data mart/s creation (standard SW tool)
AP3: Applications for outputs generation (source: phase 3–Build);
AP4: Data disclosure procedures - data confidentiality setting up (source: phase 3-Build); Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: Initiation of application AP1 by operators;
A1: Analysis of input parameters and inserting them into transformation application/s;
A2: Analysis of output specification and inserting them into the transformation application/s;
Business Functions
A3: Computation of derived variables (indices, variation coefficient, etc.);
A4: Compilation of specified outputs;
A5: Creation of data marts (loading up specified data and metadata)
A6: Collection of attributes on data and process quality;
A7: Setting up the primary data confidentiality;
A8: Checking of data extremes and recording them;
A9: Production of needed run-time history records (e.g. statistics, occurred errors and technical information;

Supporting Guidelines/Documentation
User manual for data marts application
Time table for the given phase of the GSBPM
Instruction for processing Output
Information objects
Process Output
Transformed Output
O1: Updated data warehouse based on activity A3;
O2: Uploaded specified data marts
O3: Set of generated output tables;
O4:Confidentiality setting up report;
O5: Data quality report;
O6: Report on extremes and seasonal adjustment;
Process Metric
M1: Run-time records on the AP1 run;
M2: Run-time records on the AP2 run;
M3: Run-time records on disclosure setting up run (AP4);
M4: Run-time records on quality attributes collection run AP1-4);
M5: Run-time records on extremes and seasonal adjustment run;



Feedback
Request update of Input x from sub-process 2.1 – specification of outputs; 2.5 – specification of parameters; 3.3 – request for improvement of the given application List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 6 – Analyse
Draft
Sub-process 6.2 Validate outputs Input
Information objects
Process Input
Transformable input (data sets)
DS1: Set of output tables – source: 6.1
Output specification
Protocols from the sub-process 6.1
Parameter Input
P1: Initial requirements on the statistical product - source: sub-process 2.1
P2: Run-time records of the application of the previous sub-process
Process support
n/a
Business Services
AP1: Output tables visualization
AP2: Application for the comparison of current and previous data Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: Analysis of extremes and seasonal adjustment;
MA2: Analysis statistical data of primary confidentiality setting up;
M1: Analysis of the data quality report
Business Functions
A1: Comparison of the output tables with data of previous time period
A2: Visualization of output tables

Supporting Guidelines/Documentation
Instruction sub-process 6.1 result evaluation Output
Information objects
Process Output
Transformed Output
O1: Report on the output tables comparison with the data of previous time period(s);
O2: Evaluation of data confidentiality setting up;
O3: Evaluation of data quality report
Process Metric
n/a

Feedback
Request update of Input x from sub-process 5.6 – 5.8 – ask for processing repeating; 2.5 – procedures specification; 3.3 – change of the input parameters List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 6 – Analyse
Draft
Sub-process 6.3 Scrutinize and explain Input
Information objects
Process Input
Transformable input (data sets)
DS1: Output tables (for current time period)
DS2: Output tables (for previous time period/s)
Parameter Input
P1: Run-times records from sub-processes 6.1. and 6.2.
Process Support
PS1: Outputs of the previous time period/s processing
Business Services (SW applications)
n/a Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: Analysis of the output tables
MA2: Analysis of the outputs from the statistical point of view
Business Functions
n/a

Supporting Guidelines/Documentation
Statistical knowledge base Output
Information objects
Process Output
Transformed Output
O1: Result approval of the output tables (data and metadata)
Process Metric
n/a



Feedback
Request update of Input x from sub-process phase 2 and 3 List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 6 – Analyse
Draft
Sub-process 6.4 Apply disclosure control Input
Information objects
Process Input
Transformable input (data sets)
DS1: Data marts
Parameter Input
P1: Parameters for data confidentiality procedure
Process Support
n/a
Business Services (SW applications)
AP1: Procedures for secondary data confidentiality setting up Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: Initiation of the secondary confidentiality procedure (AP1);
Business Functions
A1: Setting up the parameters for the confidentiality procedure (AP1);
A2: Processing of data confidentiality setting up
A3: generation of the rub-time history record on the secondary confidentiality procedure run;

Supporting Guidelines/Documentation
User manual of the secondary data confidentiality Output
Information objects
Process Output
Transformed Output
O1: Data accompanied by the secondary confidentiality flags (including suppression of sensitive data)
Process Metric
M1: Run-time records of the data confidentiality procedure;
M2: run-time records on the data suppression results


Feedback
... List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 6 – Analyse
Draft
Sub-process 6.4 Apply disclosure control Input
Information objects
Process Input
Transformable input (data sets)
DS1: Data marts – source 6.1
Parameter Input
P1: List of requested outputs for release and publication
Process Support
n/a
Business Services (SW applications)
n/a Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: Elaboration of detailed plan of output release;
MA2: Optical checks of the outputs for release;
MA3: Approval of prepared outputs for release;
Business Functions
n/a

Supporting Guidelines/Documentation
Operator instruction for this sub-process Output
Information objects
Process Output
Transformed Output
n/a
Process Metric
M1: Run-time records on the outputs approval for release;

Feedback
... List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 7 – Disseminate
Draft
Sub-process 7.1 Update output systems Input
Information objects
Process Input
Transformable input (data sets)
...
Parameter Input
...
Process Support
Application for compilation of the outputs for dissemination – source 3.6
Business Services (SW applications)
n/a Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
Activities proposed for this sub-process are usually performed within the sub-process 7.2
Business Functions
...

Supporting Guidelines/Documentation
... Output
Information objects
Process Output
Transformed Output
...
Process Metric
...




Feedback
... List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 7 – Disseminate
Draft
Sub-process 7.2 Produce dissemination products Input
Information objects
Process Input
Transformable input (data sets)
DS1: Data warehouse – source 5.8
DS2: Data marts – source 6.5
Parameter Input
P1: List of outputs for dissemination – source 2.1
P2: List of users – source 2.1
P3: Input parameters for report generator
Process Support
PS1: Classifications
PS2: Metadata database
Business Services (SW applications)
AP1: Generator for report production Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: setting up of the parameters for report generator (repeated activity)
Business Functions
A1: Generation of printed outputs (reports, publications)
A2: Generation of electronic outputs for dissemination
A3: Update of web presentation
A4: Update of public database for direct use by external users

Supporting Guidelines/Documentation
Instruction for dissemination products compilation Output
Information objects
Process Output
Transformed Output
O1: printed reports and tables
O2: outputs in electronic form
O3: updated web presentation
O4: updated public database
Process Metric
M1: Run-time records of the AP1 runs

Feedback
... List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 7 – Disseminate
Draft
Sub-process 7.3 Manage realease of dissemination products Input
Information objects
Process Input
Transformable input (data sets)
DS1: Dissemination products – source 72
DS2: Outputs on electronic media
DS3: Updated web presentation
DS4: Updated public database
Parameter Input
P1: List of users for direct delivery of selected outputs
P2: Dissemination calendar
Process Support
n/a
Business Services (SW applications)
AP1: Application for release of dissemination products
AP2: Application for web content and public database approval for presentation Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: Releases of dissemination products accordingly to the dissemination calendar
Business Functions
A1: Dissemination of selected products to the external users (reports, publication, statistical information on electronic media)
A2: Making available the updated web presentation and public database for public

Supporting Guidelines/Documentation
Dissemination calendar
User manual for products dissemination Output
Information objects
Process Output
Transformed Output
n/a
Process Metric
M1: Run-time records on the released dissemination products
M2: Run-time record od web and database approval for public

Feedback
... List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 7 – Disseminate
Draft
Sub-process 7.4 Promote dissemination products Input
Information objects
Process Input
Transformable input (data sets)
DS1: Proposals for the promotion of statistical products
Parameter Input
P1: List of potential users taking part in the inquiries
Process Support
n/a
Business Services (SW applications)
n/a Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: List of user needs and proposals for statistics improvement
Business Functions
MA2: Preparation of information campaign on selected statistical products
MA3: Organization of inquiries among statistical audience using special questionnaires
MA4: advertising in newspapers

Supporting Guidelines/Documentation
... Output
Information objects
Process Output
Transformed Output
O1: Responses on users inquiries
O2: Evaluation and recommendation from users responses
Process Metric
M1: Response rate on individual inquiries

Feedback
... List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 7 – Disseminate
Draft
Sub-process 7.5 Manage user support Input
Information objects
Process Input
Transformable input (data sets)
DS1: Users needs
DS2: Data set with recorded user requests
Parameter Input
n/a
Process Support
n/a
Business Services (SW applications)
AP1: application for users requirements recording Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Process Control
MA1: Recording of users requests
MA2: Preparation of replays to the users requests and its recording
MA3: Sending relevant information to the users
Business Functions
A2: Recording of users requirements and answers on the requirements
A2: Sending back the appropriate information to the relevant users

Supporting Guidelines/Documentation
Manual for communication with statistical information users Output
Information objects
Process Output
Transformed Output
O1: Updated data set of users requests
Process Metric
M1: Report on recoded user requests in given time period




Feedback
Proposals from the phase 1 Need List of abbreviations:
DS Data Set
A Automated Activity (Business Function)
AP Application (Business Services)
M Metric Output (Process Metric)
MA Manual Activity (Business Function)
O Output
P Input Parameter
PS Process Support (Process Support Input) GSBPM – Phase 8 – Archive
Draft
Sub-process 8.1 - Define archive rules Process Input
Transformable input
Statistical Program Design from Phase 2

Parameter Input
n/a
Process support
n/a Process Step
(Create/Analyse/Consult/Use/Update/Delete)
Processed input:
n/a

Production of outputs:
Create/Update Archive Rules
Update Statistical Program Design


Supporting Guidelines/Documentation
Organization Archiving Policy
National Archiving Policy Process Output
Transformed Output
Statistical Program Design (updated)
Archive Rules

Process Metric
n/a


Feedback
... GSBPM – Phase 8 – Archive
Draft
Sub-process 8.2 - Manage archive repository Input
Information objects
Process Input
?
Transformable input
...
Parameter Input
...
Process support
...
Business Services
... Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Maintaining catalogues of data and metadata archives, with sufficient information to ensure that individual data or metadata sets can be easily retrieved
Testing retrieval processes
Periodic checking of the integrity of archived data and metadata
Upgrading software-specific archive formats when software changes

Supporting Guidelines/Documentation
User manuals supporting the process steps Output
Information objects
Process Output
Transformed Output
?
Process Metric
M1: Records of that the process steps have been carried out





Feedback
... GSBPM – Phase 8 – Archive
Draft
Sub-process 8.3 Preserve data and associated metadata Input
Information objects
Process Input
Transformable input
DS1: Data and/or metadata from a specific statistical business process
Archiving rules from 8.1
Parameter Input
...
Process support
PS1: Metadata databaseBusiness Services Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Identifying data and metadata for archiving in line with the rules defined in 8.1
Formatting those data and metadata for the repository
Loading or transferring data and metadata to the repository
Cataloguing the archived data and metadata
Verifying that the data and metadata have been successfully archived

Supporting Guidelines/Documentation
User manuals supporting the process steps Output
Information objects
Process Output
Transformed Output
O1: Formatted data and metadata transferred to repository
Process Metric
M1: Record of that data and metadata have been successfully archived

Feedback
... GSBPM – Phase 8 – Archive
Draft
Sub-process 8.4 Dispose of data and associated metadata Input
Information objects
Process Input
Transformable input
DS1: Data and/or metadata from a specific statistical business process
Archiving rules from 8.1
Parameter Input
...
Process support
PS1: Metadata database
Business Services
... Activities (process)
Indicate what happens to each of the Inputs and Outputs in this subprocess: (Create/Read/Update/Delete)
Process Step
Identifying data and metadata for disposal, in line with the rules defined in 8.1
Disposal of those data and metadata
Recording that those data and metadata have been disposed of

Supporting Guidelines/Documentation
User manuals supporting the process steps Output
Information objects
Process Output
Transformed Output
O1: Deleted data and metadata
Process Metric
M1: Record of that data and metadata have been successfully disposed/deleted


Feedback
... Generic Statistical Information Model (GSIM) Acquisition Activity Business Function Analysis Population Attribute Component Administrative Detail Acquisition Design Business Service Analysis Unit Data Flow Contact Details Assessment Parameter Input Category Data Location Context Key Business Group Production Group Concepts Group Structures Group Base Group Business Case Process Category Item Data Point Contextual String Change Definition Process Control Category Set Data Resource Data Consumer Channel Activity Specification Process Input Classification Data Set Data Provider Channel Design Specification Process Input Specification Classification Family Data Structure Identifiable Artefact Collection Description Process Method Classification Item Data Structure Component Individual Control Transition Process Metric Classification Scheme Dimensional Attribute Component Language Data Channel Process Output Classification Variant Dimensional Data Point Maintenance Agency Design Context Process Output Specification Classification Version Dimensional Data Set Organization Item Dissemination Activity Process Step Code Dimensional Data Structure Organization Item Role Dissemination Design Process Step Design Code Item Dimensional Identifier Component Organization Scheme Environment Change Process Step Execution Record Code List Dimensional Measure Component Organization Unit Evaluation Assessment Process Support Input Code Value Dissemination Service Type Gap Analysis Rule Concept Identifier Component Information Request Transformable Input Concept System Information Resource Instance Interviewer Instruction Transformed Output Conceptual Domain Logical Record Correspondence Table Measure Component Data Type Output Specification Datum Product Described Conceptual Domain Provision Agreement Described Value Domain Record Relationship Designation Representation Enumerated Conceptual Domain Unit Attribute Component Enumerated Value Domain Unit Data Point Frame Population Unit Data Record Instance Variable Unit Data Set Level Unit Data Structure Map Unit Identifier Component Node Unit Measure Component Node Set Observation Unit Population Represented Variable Sign Subject Field Survey Population Target Population Unit Unit of Measure Value Domain Variable Instance Question Instance Question Block Instance Statement Instrument Instrument Control Instrument Implementation Interviewer Instruction Mode Multiple Question Item Non Structured Data Set Production Activity Production Design Publication Activity Question Question Block Question Group Statement Statistical Activity Statistical Need Statistical Program Statistical Program Cycle Statistical Program Design Process Input
Transformable input:
Partial, high level description of the Information Resource to be produced by the Statistical Business Process.
This forms part of the partial high level Statistical Program Design.

Parameter input:
n/a

Process support input:
Partial, high level Statistical Program Design setting out agreed features based on Business Case (from 1.6)
Statistical Need (1.1)
Change Definition (1.2)
Assessment (1.3)
Assessment (Gap Analysis) (1.5)
Units (1.3)
Populations (1.3)
Concepts (1.4)
Variables (1.4)
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