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An Introduction to RDMS at Strathclyde
Transcript of An Introduction to RDMS at Strathclyde
Funders with Open Data Policies
"Research data are the evidence that underpins the answer to the research question, and can be used to validate findings regardless of its form (e.g. print, digital, or physical). These might be quantitative information or qualitative statements collected by researchers in the course of their work by experimentation, observation, modelling, interview or other methods, or information derived from existing evidence."
USB & External HD's
Easily hacked if stolen
Breaches the encryption policy
Easily lost or stolen
Usually kept close to PC
Prone to failure
Don't always know who's accessing or where it's stored
Bigger target for hackers
The RDMS Team
Introduction to RDMS
Complying with EPSRC Research Data Policy
Depositing in Pure
Online Course: How to Manage your Research Data
Gaining Consent to Share Research Data
Describing your dataset in Pure
EPSRC Policy Framework on Research Data
One to one meetings
Findable, Accessible, Interoperable, Reusable
"Plans for sharing of data should be considered from the earliest stages of project planning"
Why create a DMP?
DMPs for PGR Progression
What's in a DMP?
Standardise good customary practices.
Lead by example
Meet funder expectations
Often required as part of application
Or created during project
3rd Party Cloud
"even if the strings of 0s and 1s that make up the binary data can be read, it could be like trying o interpret Ancient Egyption without knowing which Rosetta Stone to use"
Harvard Professors claimed economic growth weakens where national debt is higher than 90% of GDP
Findings referred to by policy makers
3 years before data is shared with one student who tries to replicate
"coding errors, selective exclusion of available data, and unconventional weighting of summary statistics"
Authenticate and replicate findings
Open Access and Research Data Manager
Research Support Officer
Research Data Support Officer
We can help you create a DMP as part of your grant application or for your current project.
Sharing & Preservation
H:drive for personal
i:drive for groups
Fast, stable and simple
Work wth external collaborators
Synchonise across multiple devices
Preservation & curation
File naming conventions
Describe variables, values and records
Where, when, how data is generated
Hardware and software
Data Management Systems
Data Management Systems
Data Management Plans
Data Management Plans
Formula for Success in RDMS
A compulsory requirement for PGR progression
Template available online
Draft and review with supervisor
Send to RDMS team for further review
Record progress in Neptune / Spider
0141 548 4581
We can interpret policies and relate them to your research data, so that you can comply fully with funder expectations.
We can guide you through the process of using Pure to create useful, compliant, high quality dataset records
Research Support Officer
"there's 30 years of materials and resources... some of my colleagues have lost everything"
"I had to redo my PhD"
"If you have found the external hard drive, PLEASE CALL ME
The drive contains many years of my teaching and research files"
Plan to use secure systems and processes
Remove any weak links in your security chain
Comply with the DPA
Respect participant wishes
Ethics & Legal
Consent for retaining and sharing data
Optional or mandatory consent
Licensing, patenting, copyright
Where will data be stored at each stage of the project?
How will data be transferred?
THANKS FOR LISTENING!
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Research Data Management & Sharing
Research & Knowledge Exchange Services
"Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner"
Publications should state how supporting research data may be accessed.
Metadata describing research data should be freely accessible online (even when access to data is restricted).
Where access is restricted, reason should be given, and details of conditional access provided.
Data must be preserved for minimum 10 years from the date that any ‘privileged access’ period expires or, from last date on which access to the data was requested by a third party.
Research data should be as open as possible, and as closed as necessary.
Research data should be Findable, Accessible, Interoperable and Reusable (FAIR).
Researchers must submit a DMP (data management plan) within the first 6 months of the project.
Recently extended to cover all funding areas.
Pure: Strathclyde's Current Research Information System (CRIS)
Digital Object Identifier (DOI)
Helps others find and cite your data
Helps you track citations and the impact of your dataset
Help guides on the R&KE portal
Training videos to help staff complete their web profiles
Face to face training
What data will be made openly available
How and when will data be shared
What restrictions are necessary and why
Herndon, Thomas, Michael Ash, and Robert Pollin. 2013. “Does High Public Debt Consistently Stifle Economic Growth? A Critique of Reinhart and Rogoff.” Political Economy Research Institute Working Paper Series (322).
Vines, T. H., Albert, A. Y. K., Andrew, R. L., Bock, D. G., Franklin, M. T., & Gilbert, K. J. (2014). The Availability of Research Data Declines Rapidly with Article Age, 20, 1–4. doi:10.1016/j.cub.2013.11.014
1. Open dataset
2. Public dataset with restrictive licence
3. Partially open dataset
4. Embargoed dataset
5. Restricted dataset with controlled access
6. Restricted dataset with access for Strathclyde
7. Restricted dataset with access for specific investigators
8. Destroyed dataset
Create a DMP
Data management plans are often simple, straightforward documents. Starting the DMP is often the biggest hurdle. Make sure you have a DMP in place for your research data.
Switch to University storage
Secure your research data by storing it on the network drives or Strathcloud. Familiarise yourself with the Strathcloud apps, and ask for help if you need it.
Log in to Pure and familiarise yourself with the datasets metadata form. If you have any completed datasets which you think should be preserved, upload them to Pure.
“PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception.”
"The revised template will also include a section on 'open research', detailing the unit's open access strategy, including where this goes above and beyond the REF open access policy requirements, and wider activity to encourage the effective sharing and management of research data."
File Naming Conventions
Dates in YYYYMMDD format - 20171018
v0.1 - 0.9 for drafts
v1.0 + for finalised versions
v1.1 for minor updates
v2.0 for major updates
Description of methods used for experimental design and data collection:
Data processing methods:
Instruments and software used in data collection:
Standards and calibration information:
Quality assurance procedures:
“It is the policy of the University of Strathclyde that no electronic information, owned by the University of Strathclyde, that is confidential, sensitive, personal or of commercial value should be stored in an unencrypted format anywhere other than
on secure server storage provided by the University or on similar secure storage facilities provided by a partner organisation.” (p. 2)
“Any information owned by the University of Strathclyde that is confidential, sensitive, personal or of commercial value stored in public cloud-based storage facilities must be encrypted before storing.” (p. 5)
Jane's data management plan version 1
If someone wants my data, they can just ask
Central Ethical Review Board
Original data lost "due to the theft of a computer".
Article claimed that data was stored on the University's databank and could be found in the supplementary material.
Original data not provided despite repeated inquiries.
"Remarkable that the article was sent for publication without the presence of the necessary data... the journal Science was deficient in its checking in this respect".