UK HE Research Data Management Survey Results - Presentation to EPSRC
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The document presents survey results on Research Data Management (RDM) across UK higher education institutions, highlighting the benefits of RDM such as increased visibility and improved research quality. The survey reveals that 82% of institutions have RDM policies, but only 16% have operational data services, with many still under development. Conclusions emphasize the need for effective infrastructure and support systems, as well as the presence of significant fixed-term staffing affecting data management capabilities.
![RDM in UK HE
Survey Results:
Presentation to
EPSRC
Martin Hamilton
Sue Manuel
Loughborough University
[Photo credit: Metadata is a Love Note to the
Future, photo by @kissane]](https://image.slidesharecdn.com/ukheresearchdatamanagementsurveyresults-presentationtoepsrc-131114052637-phpapp01/85/UK-HE-Research-Data-Management-Survey-Results-Presentation-to-EPSRC-1-320.jpg)
![1. Why RDM?
“Systematic management and sharing of research data has many benefits for the research
community and the public. These include:
•
•
•
•
•
•
•
•
Increasing the visibility of research and generating citations, leading to growth of scientific
reputation of individual researchers, their research teams and their institutions
Reinforcing open scientific inquiry
Protecting against use of faulty data by allowing published results to be independently
verified, refuted or refined, thus improving the overall quality of research and encouraging
diversity of analysis and opinion and helping to resolve scientific disputes
Stimulating new approaches to data collection and methods of analysis
Increasing awareness of research in related areas leading to more opportunities for
collaboration
Allowing re-use of data for research not foreseen by the initial investigators – this increases
the efficiency of use of public funding by avoiding unnecessary duplication of data collection.
Permitting the creation of more highly powered data analysis by combining data from
multiple sources
Facilitating education of new researchers and the wider public”
[From the EPSRC Policy Framework on Research Data]](https://image.slidesharecdn.com/ukheresearchdatamanagementsurveyresults-presentationtoepsrc-131114052637-phpapp01/85/UK-HE-Research-Data-Management-Survey-Results-Presentation-to-EPSRC-4-320.jpg)
![RDM in UK HE
Survey Results:
Presentation to
EPSRC
Martin Hamilton
Sue Manuel
Loughborough University
[Photo credit: Metadata is a Love Note to the
Future, photo by @kissane]](https://image.slidesharecdn.com/ukheresearchdatamanagementsurveyresults-presentationtoepsrc-131114052637-phpapp01/85/UK-HE-Research-Data-Management-Survey-Results-Presentation-to-EPSRC-41-320.jpg)
UK HE Research Data Management Survey Results - Presentation to EPSRC
- 1. RDM in UK HE Survey Results: Presentation to EPSRC Martin Hamilton Sue Manuel Loughborough University [Photo credit: Metadata is a Love Note to the Future, photo by @kissane]
- 2. 1. Why RDM? 2. The Survey 3. Results & Analysis 4. Conclusions Photo credit: CC-BY-NC-ND Flickr user Wordshore
- 3. 1. Why RDM? 2. The Survey 3. Results & Analysis 4. Conclusions Photo credit: CC-BY-NC-ND Flickr user Wordshore
- 4. 1. Why RDM? “Systematic management and sharing of research data has many benefits for the research community and the public. These include: • • • • • • • • Increasing the visibility of research and generating citations, leading to growth of scientific reputation of individual researchers, their research teams and their institutions Reinforcing open scientific inquiry Protecting against use of faulty data by allowing published results to be independently verified, refuted or refined, thus improving the overall quality of research and encouraging diversity of analysis and opinion and helping to resolve scientific disputes Stimulating new approaches to data collection and methods of analysis Increasing awareness of research in related areas leading to more opportunities for collaboration Allowing re-use of data for research not foreseen by the initial investigators – this increases the efficiency of use of public funding by avoiding unnecessary duplication of data collection. Permitting the creation of more highly powered data analysis by combining data from multiple sources Facilitating education of new researchers and the wider public” [From the EPSRC Policy Framework on Research Data]
- 5. 1. Why RDM? 2. The Survey 3. Results & Analysis 4. Conclusions Photo credit: CC-BY-NC-ND Flickr user Wordshore
- 9. 2. The Survey Bangor University Bath Spa University Birkbeck, University of London Buckinghamshire New University Cardiff University Cranfield University De Montfort University Durham University King's College London London School of Economics and Political Science London School of Hygiene and Tropical Medicine Loughborough University Newcastle University Oxford Brookes University Queen Margaret University Royal Holloway University of London SOAS The Open University + others not in public write-up yet University College London University of Aberdeen University of Bath University of Bristol University of East London University of Edinburgh University of Glasgow University of Hertfordshire University of Hull University of Kent University of Leeds University of Leicester University of Liverpool University of Northampton University of Oxford University of Sheffield University of Southampton University of Stirling University of Strathclyde University of Surrey
- 10. 2. The Survey EPSRC Framework Universities: Regional Research Consortia: Bristol* Cambridge Imperial Leeds* Loughborough* Manchester Newcastle* Nottingham Oxford* Sheffield* Southampton* UCL* M5: Aston, Birmingham, Leicester*, Loughborough*, Nottingham, Warwick* N8: Durham*, Lancaster, Leeds*, Liverpool*, Manchester, Newcastle*, Sheffield*, York GW4: Bath*, Bristol*, Cardiff*, Exeter SES-5: Cambridge, Imperial, Oxford*, Southampton* + Influence of JISC MRD programme, DCC engagement
- 11. 1. Why RDM? 2. The Survey 3. Results & Analysis 4. Conclusions Photo credit: CC-BY-NC-ND Flickr user Wordshore
- 12. 3. Results & Analysis Full write-up available from http://goo.gl/VAaf8U (1,512 page views to date: 9th Oct – 7th Nov 2013) Results also made available as Open Data via Figshare (265 downloads to date)
- 13. 3. Results & Analysis
- 14. 3. Results & Analysis
- 15. 3. Results & Analysis
- 16. 3. Results & Analysis Does your institution have a Research Data Management Policy? 31 of the respondents (82%) had either a draft RDM policy, or one that had already been approved institutionally.
- 17. 3. Results & Analysis Does your institution have a Research Data Service? 6 of the responding institutions (16%) had an operational Research Data Service, with a further 25 (66%) under development.
- 18. 3. Results & Analysis Scope of Research Data Service Most common scenario was "repository of last resort”. No respondents had mandated use of their Research Data Service for all research outputs.
- 19. 3. Results & Analysis Extent of data to be held in Research Data Service
- 20. 3. Results & Analysis Extent of data to be held in Research Data Service
- 21. 3. Results & Analysis Categories of information your Research Data Service stores Institutions were storing or aiming to provide facilities for both data and metadata in their Research Data Services.
- 22. 3. Results & Analysis What software does your Research Data Service use? Mainly Research Information Systems and/or Institutional Repository software, plus locally developed systems.
- 23. 3. Results & Analysis What software does your Research Data Service use? Mainly Research Information Systems and/or Institutional Repository software, plus locally developed systems.
- 24. 3. Results & Analysis How much storage is available for research data sets? Note: Most respondents did not provide a figure here.
- 25. 3. Results & Analysis How much storage is each researcher allocated by default? Respondents were advised to round up or down to the nearest TB if the the survey form was not an exact match.
- 26. 3. Results & Analysis 5TB x 1,000 researchers = 0.5PB Going rate ~£250K + VAT How much storage is each researcher allocated by default? Respondents were advised to round up or down to the nearest TB if the the survey form was not an exact match.
- 27. 3. Results & Analysis Does your institution charge for the Research Data service? 6 institutions said they did not charge for their Research Data Service. No institutions said they would charge for all usage.
- 28. 3. Results & Analysis Support available for Research Data Management at your institution Respondents were asked to quantify the areas where their institution was offering or aiming to offer support for RDM.
- 29. 3. Results & Analysis Support available for Research Data Management at your institution Respondents were asked to quantify the areas where their institution was offering or aiming to offer support for RDM.
- 30. 3. Results & Analysis Institutional support for RDM (example): 1. One-to-one advice and guidance for projects 2. RDM support site 3. RDM training events for staff 4. RDM training events for students 5. Web-based RDM training for overseas staff and distance learners
- 31. 3. Results & Analysis Staffing, sector wide picture: Summary Project Manager Data Librarian IT Support Research Support Other TOTAL Fixed Term 8 4.5 6.5 3 6.5 28.5 Permanent 2 9 4 2 5.5 22.5
- 32. 3. Results & Analysis Staffing, sector wide picture: Summary Project Manager Data Librarian IT Support Research Support Other TOTAL Fixed Term 8 4.5 6.5 3 6.5 28.5 Permanent 2 9 4 2 5.5 22.5
- 33. 3. Results & Analysis Staffing: Project Management
- 34. 3. Results & Analysis Staffing: Data Librarian
- 35. 3. Results & Analysis Staffing: IT Support
- 36. 3. Results & Analysis Staffing: Research Support
- 37. 1. Why RDM? 2. The Survey 3. Results & Analysis 4. Conclusions Photo credit: CC-BY-NC-ND Flickr user Wordshore
- 38. 4. Conclusions • Most institutions are still feeling their way • Headstart for Jisc funded + DCC engaged • Serious infrastructure investment by those who have built a Research Data Service • Services largely built in-house upon familiar institutional systems and services, e.g. RIS, IR • Aim to store both metadata and data • Support programmes are seen as key to success • Large proportion of staffing is fixed term - skills lost if not transferred at end of contract?
- 39. 4. Conclusions Research Data Management Policy UK HEI 40% Jisc funded 60% 0% 10% 20% 30% 40% 50% 60% 70% 60% (9 out of 15) of the Jisc-funded institutions have a RDM policy compared with 40% (15 out of 38) of the whole sample. (analysis by Stephane Goldstein, RIN)
- 40. 4. Conclusions Research Data service UK HEI 16% Jisc funded 33% 0% 5% 10% 15% 20% 25% 30% 35% 33% (5 out of 15) of those receiving Jisc funding have a research data service in place, but this proportion falls to 16% for the sample as a whole. (analysis by Stephane Goldstein, RIN)
- 41. RDM in UK HE Survey Results: Presentation to EPSRC Martin Hamilton Sue Manuel Loughborough University [Photo credit: Metadata is a Love Note to the Future, photo by @kissane]