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  1. 1. RDM@Edinburgh Stuart Macdonald Visiting CISER Data Services Librarian
  2. 2. EDINA & Data Library (EDL) • EDINA and University Data Library (EDL) together are a division within Information Services of the University of Edinburgh. • EDINA is a JISC-funded National Data Centre providing national online resources for education and research. • The Data Library assists Edinburgh University users in the discovery, access, use and management of research datasets.
  3. 3. EDINA National Data Centre • Mission statement: “ enhance the productivity of research, learning and teaching in UK higher and further education ..” • Networked access to a range of online resources for UK FE and HE • Services free at the point of use for use by staff and students in learning, teaching and research through institutional subscription • Focus is on service but also undertake R&D (projects  services) • delivers about 20 online services • ~10 major projects (incl. services in development) • employs about 80 staff (Edinburgh & St Helens)
  4. 4. Data Library services and projects • Data Library & Consultancy • Edinburgh DataShare • JISC-funded projects – DISC-UK DataShare (2007-2009) – Data Audit Framework Implementation (2008) – Research Data MANTRA (2010-2011) – – – – AddressingHistory STEEV UK Repository Net + AQMeN
  5. 5. Data Library & Consultancy • • • • • finding… accessing … using … teaching … managing Building relationships with researchers via postgraduate teaching activities, research support projects, IS Skills workshops, Research Data Management training and through traditional reference interviews.
  6. 6. Edinburgh DataShare was built as an output of the JISC-funded DISC-UK DataShare project (2007-2009)
  7. 7. Edinburgh DataShare An online institutional repository of multi-disciplinary research datasets produced at the University of Edinburgh, hosted by the Data Library Researchers producing research data associated with a publication, or which has potential use for other researchers, can upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided. DataShare is a customised Dspace instance with a selection of standards-compliant metadata fields useful for discovery of datasets, through Google and other search engines via OAI-PMH.
  8. 8. Research Data MANTRA Partnership between: Data Library & Institute for Academic Development Funded by JISC Managing Research Data Programme (Sept. 2010 – Aug. 2011) Grounded in three disciplinary contexts: social science, clinical psychology and geoscience Aim was to develop online interactive open learning resources for PhD students and early career researchers that will: • Raise awareness of the key issues related to research data management • Contribute to culture change & good research practice
  9. 9. Online learning module Eight units with activities, scenarios and videos: • • • • • • • • Research data explained Data management plans Organising data File formats and transformation Documentation and metadata Storage and security Data protection, rights and access Preservation, sharing and licensing Four data handling practicals: SPSS, NVivo, R, ArcGIS Xerte Online Toolkits – University of Nottingham • CC licence to allow manipulation of content for re-use with attribution • Portable content in open standard formats (e.g. SCORM)
  10. 10. RDM Roadmap@Edinburgh - an institutional approach
  11. 11. Background Edinburgh Data Audit Framework (DAF) Implementation Project (May – Dec 2008) A JISC-funded pilot project produced 6 case studies from research units across the University in identifying research data assets and assessing their management, using DAF methodology developed by the Digital Curation Centre. 4 main outcomes: • • • • Develop online RDM guidance Develop RDM training Develop university research data management policy Develop services & support for RDM (in partnership IS)
  12. 12. Drivers • RDM policy containing 10 aspirational statements affirming both the researchers’ and the University’s responsibilities, e.g. •PI responsible for RDM •University will provide RDM support and training •University will provide RDM services (such as back-up, storage, deposit) •Data retained elsewhere will be registered with the University •RDM plans must ensure that data are available for access and re-use under appropriate safeguards • UKRC’s Common Principles of Research Data Policy states: •Publicly funded research are a public good produced in the public interest •Data with long terms value should be preserved & accessible for re-use • UK Research Funders have all issued research data management policies demanding institutions take care of and preserve data for re-use
  13. 13. Committees An RDM Policy Implementation Committee was set up by the Vice Principal Knowledge Management, Professor Jeff Haywood to implement recommendations: • • • Membership from across IS Charged with delivering services that will meet RDM policy objectives Iterate with researchers to ensure services meet the needs of researchers The Vice Principal also established a Steering Committee led by Prof. Peter Clarke comprising members of Research Committee from the 3 colleges, IS, DCC and Edinburgh Research and Innovation (ERI). Their role is to: • Provide oversight to the activity of the Implementation Committee • Ensure services meet researcher requirements without harming research competitiveness
  14. 14. Roadmap •EPSRC expects funded projects to have developed a roadmap aligned with EPSRC’s RDM expectations by 1st May 2012, and to be fully compliant with these expectations by 1st May 2015. •The Executive Summary of the Information Services Plan, 2012-13 states, “Research data management & storage – policies, training, curation, preservation, baseline 0.5Tb/user,” is a major IS-led project for the year. •The Edinburgh RDM roadmap was set out as a high level plan for its delivery, noting objectives, outcomes, deliverables and target dates for an 18-month period - consisting of Phase 0 planning period (May – Sept. 2013) followed by 3 x six monthly phases up to April 2015.
  15. 15. Costs ! •The roadmap follows up a business case submitted to the University IT Committee in Summer 2012 by Jeff Haywood which estimated one-off and recurrent costs. •In May 2013 Vice Principal announced that funding would be in the order of £2 million split between infrastructure and RDM support and technical personnel. •Currently the Roadmap does not include itemised costs. Details are currently being discussed by the Implementation Committee. •Freemium model
  16. 16. Support and services for planning activities that are performed before research data is collected or created – addresses policy points 3, 4 Services to include: • Tailored DMP assistance for PIs submitting research proposals • Customised Data Management Planning tool
  17. 17. Facilities to store data that is actively used in current research activities, to provide access to that storage, and tools to assist in working with the data – addresses policy points 5, 8 Example services might include: • Accessible cross-platform Data Store • File Access Services (e.g. Dropbox-like) • Data Synchronisation (e.g. mobile devices) • Web-based Collaboration tools • Structured Data Version Control (WebDAV) • Central Database service
  18. 18. Tools and services to aid in the description, deposit, and on-going management of completed research data outputs – addresses policy points 6, 7, 9, 10 Services to include: • DataShare - repository for enhanced deposit and discovery of open data collections generated by University researchers • Data archive service (Vault) - service to ensure integrity and long term retention of golden copy research data • Data asset registry – a registry of research data assets (recording location and description of data) • PURE Current Research Information System (central system holding
  19. 19. General consultancy and support service throughout the research process – addresses policy points 1, 2, 4 Example services might include: • Tailored awareness and advocacy activities • Online Data Management guidance • Training (online / F-2-F) • Data Management consultancy
  20. 20.  Potential pitfalls a University could fall into:   To wrongly assume there can be a one size fits all requirements checklist   •Requirements are too diverse and in detail are incompatible across disciplines / sub-disciplines (size, volume, format, time) To wrongly assume that all data is Edinburgh centric and needs to be stored in a university repository •For much large scale science this is inappropriate & impossible   To wrongly assume that all data is shareable.   •Raw data – probably need to preserve – but maybe not open access as it would be practically unusable - e.g. 100 Pbytes from SKA telescope •Processed data – probably more useful to make open access
  21. 21. Current Activity • A proactive programme to raise awareness of University and funder policies and data management planning across the 3 Colleges • DataShare Pilots - 3 sets of “communities and collections” set up to determine how the data repository meets the needs of Edinburgh researchers • RDM Training for Liaison Librarians • Data Asset Register • Overall Architecture & Workflow (storage, hardware, security…) • RDM Blog:
  22. 22. THANK YOU! URLs: Data Library services: EDINA: Research data management guidance pages: Edinburgh University Data Policy: Edinburgh Data Audit Framework (DAF) Implementation: Research Data MANTRA course: Edinburgh University RDM Roadmap: