Building Research Data Management Services - Robin Rice
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This document discusses building research data management services from a data librarian's perspective. It defines research data management and outlines developing an institutional RDM policy involving library leadership. The document also discusses supporting researchers through training, guidance, and tools for data management planning and sharing. Potential additional library RDM services mentioned include data discovery, repositories, archiving, and applying metadata standards. Challenges for librarians expanding into this new area include finding time and developing new skills to support research data management.
Building Research Data Management Services - Robin Rice
- 1. Building research data management services: a data librarian‟s view Robin Rice Online Information London: Nov 21, 2012
- 2. Overview • Defining research data management • Developing a Research Data Management Policy at your institution • Researcher vs institutional responsibilities • Supporting and training researchers • Other candidates for library-based RDM services
- 3. Defining RDM • An umbrella term to describe all aspects of planning, organising, documenting, storing sharing, and preserving data. • It also takes into account issues such as data protection and confidentiality. • It provides a framework that supports researchers and their data throughout the course of their research and beyond.
- 4. University of Edinburgh Research Data Mgmt Policy • Passed by Senate in May, 2011 • Library-led: developed by committee led by Library & Collections Director • Involved academic champions • Written by ex-DCC consultant • Deemed „aspirational‟ • Complimentary to funders‟ policies
- 5. Edinburgh policy content: worldle
- 6. Roles & Responsibilities • Who will support your researchers‟ planning? • Who has responsibility during the research project? Who has archival responsibility? • Who has rights in the data? • Are students considered?
- 7. Tips for policy development Know the drivers for your own institution. Practice the art of persuasion. How big is your kirk? Seek alliances. Who is your high-level champion? Agree a style – mandate or enabling? Postcard from the future: what will it achieve?
- 8. Supporting and training researchers • Online guidance for academic staff • Embedding RDM training into postgraduate programmes (MANTRA) • Tailored support for Data Mgmt Plans (customising DMP Online tool) • Training librarians & IT staff • Awareness-raising across schools and departments
- 9. RDM guidance for academics
- 10. MANTRA online training course
- 11. DCC‟s DMP Online tool
- 12. Training liaison librarians • DIY training facilitated by data librarians: Topics: • Data management planning • Documenting & organising data • Data storage & security • Ethics & copyright • Data sharing
- 13. Other candidates for library-based RDM services • Data discovery – portals, catalogues • Open data repositories • Archiving and preservation services • Metadata & standards (curation)
- 14. Data discovery (and use)
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- 16. Archiving and preservation services for research data • Should the institution be doing this? – EPSRC says so “Research organisations will ensure that EPSRC-funded research data is securely preserved for a minimum of 10-years from the date that any researcher „privileged access‟ period expires or, if others have accessed the data, from last date on which access to the data was requested by a third party.” • How to do digital preservation: “Know what you’ve got and keep the bits safe.” • – Tim Gollins, TNA
- 17. Metadata & standards (curation) • Librarians are more interested in (at least some kinds of) metadata than researchers. • Librarians are in a position to bring to light emerging standards for data types to researchers and benefits of use. • Librarians have a natural „cross- disciplinary‟ viewpoint.
- 18. Challenges for Librarians in RDM • Finding time to pursue new activities • Developing new kinds of partnerships • Establishing credibility in a new area of expertise • Learning new skills; „getting techie‟ • Getting hands dirty with unpublished material • Adapting rapidly to opportunities
- 19. Links • University of Edinburgh policy – http://www.ed.ac.uk/is/research-data-policy • Research data guidance – http://www.ed.ac.uk/is/data-management • MANTRA online training – http://datalib.edina.ac.uk/mantra/ • UoE Data Library – http://www.ed.ac.uk/is/data-library • Edinburgh DataShare – http://datashare.is.ed.ac.uk/