Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

Global Biodiversity - CReATIVE-B Interoperability Analysis Workshop - Kunming, China

Interoperability analysis of 9 specialized international research infrastructures for biodiversity. The CReATIVE-B project seeks to support the interaction between the LifeWatch ESFRI Research Infrastructure with Research Infrastructures (RI) on biodivers
by

David Manset

on 11 December 2013

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Global Biodiversity - CReATIVE-B Interoperability Analysis Workshop - Kunming, China

sd
Interoperable World
youtube.com/watch?v=fpfD6GZ90tQ
80%
20%
Syntactic
Semantic
http://www.creative-b.eu
Non-invasive information gathering
Quantitative analyzes / comparisons
Non-binding guidelines
Open standards as much as possible
Interoperability Methodology
Integrated Portfolio
Scientific
Challenge ?
Unique e-Science environment
Improved scientific cooperation
Unprecedented resources
Interoperability Recipes
Quantitative
Factual
Differences & Commonalities
Base
Service
Logic
Data
Application
(Open / de facto) Standards vs Interoperability dimensions
Recommendations
Technical actions to be carried out
Prioritization
Planning
Middleware
Infrastructure
General
Overview
http://www.outgrid.eu
http://www.nature.com/nrneurol/journal/v7/n8/pubmed/nrneurol.2011.99.html
Interoperability Analysis
Feedback on deliverable D3.1
Further technical information
Technologies in particular for SOAs
Service / data catalogs
Service containers
DBMS systems
Security / networks standards
Think about a use-case for interoperability
To ultimately develop
Mainly data driven
Aggregation and indexing
Service oriented
Web based (services and portals)
Distributed architectures
Functional overlap (on data mngt)
Catalogs to publish, discover
Query facilities
Quality control
1
2
3
1.5
2.5
Few address processing
Fewer speak about workflows
Data aggregation can be realized as
(centralized) data warehousing
(distributed) data cataloging and indexing
All distributed but
Some tiered, others networked
All service oriented but
Adopted technologies?
Commonalities
Differences
What do we need next?
Interoperability
Interoperability Prototype
10y ahead thinking
Semantic Enterprise
Architecture..?
Alex Hardisty - HardistyAR@cardiff.ac.uk
David Manset - dmanset@gnubila.fr
Interoperability Analysis
All RIs seem to exhibit a good level of potential interoperability
Similar objectives in business models, industry and policy involvement, and overall sustainability plans
Complementary geographical and topical coverage
Standards exist in biodiversity data integration and organization
Similar sharing and quality control processes are in place for data collection, and traceability is a shared concern (for scientific citations and raw data tracking)
Most RIs differ in implementations, from the physical topologies of their networks to upper layers
Despite similar software architectures and standards, proprietary middleware services developed with different security infrastructures, programming languages and technologies
The service logic is the place where the most differences can be found and thus where one can expect the most work
Commonalities
Differences
CReATIVE-B Interoperability Analysis
Kunming, China
UML model definition
70 objects identified
3 first class chosen
28 criteria defined
18 analyzed
08-04-2013 - CB Workshop, WP3 Session
Use-case
To develop a facility to find, access and integrate data, together with reports about reliability of the data (sources)
- Species names
- Genetic varieties
- Cultivation and cultivars
- Food utilization
- DNA sequences, genes and functions
- Ecological and other traits
- Wild relatives (and their variability, distributions, sequences, etc)
- Taxonomy and phylogenies
- Horizontal gene transfer
- Role of symbionts, etc
> 10 years projections on the implications of climate scenarios for agriculture policies with respect to adaptation of mitigation
Deliverable D3.1
75%
52%
65%
9 Research Infrastructures analyzed
200 reference sources considered
Work Package 3
Technology &
Interoperability
D3.2
D3.3
D3.1
-
Green
= a good level of interoperability seems to be achievable,
-
Yellow
= significant differences are felt that make interoperability more difficult to achieve,
-
White
= out of scope or does not meet the criterion, thus making interoperability nonsensical for this category,
-
Grey
= insufficient or no information is available.
General
Overview
Service Logic
Data
Not Addressed
Need to use consistent vocabularies and eventually to develop a biodiversity informatics ontology
Concepts alignment + agreed meta-structures?
Data and metadata to be qualified in terms of quality, i.e. whether quality controlled and following what protocol
Granularity between data and metadata requires a subtle and well-balanced thinking
Need for continuous support and increased technical capacity over time for RIs' sustainability (software sustainability to be considered)
http://creative-b.eu/documents/10826/9f2f2ed9-f6b6-443a-a06d-fd3c46875a84
Caption
Requirements
Full transcript