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Supporting Good Practice in Research Data Management: Edinburgh’s Experience

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Supporting Good Practice in Research Data Management: Edinburgh’s Experience

  1. 1. Supporting Good Practice in Research Data Management: Edinburgh’s Experience Robin Rice, Data Librarian EDINA and Data Library Information Services University of Edinburgh #LIBER, Riga, Latvia: 4th July, 2014
  2. 2. 4. Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle.
  3. 3. UoE RDM Policy & Open Access to Data “The University will provide mechanisms and services for storage, backup, registration, deposit and retention of research data assets in support of current and future access, during and after completion of research projects.” “Any data which is retained elsewhere, for example in an international data service or domain repository should be registered with the University.” • “Research data of future historical interest, and all research data that represent records of the University, including data that substantiate research findings, will be offered and assessed for deposit and retention in an appropriate national or international data service or domain repository, or a University repository.”
  4. 4. 6. Support the lifecycle for research data by providing services for storage, discovery and permanent access.
  5. 5. UoEResearch Data Management Roadmap (2012-2014)
  6. 6. 1. Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum.
  7. 7. Image by Cuna Ekmekcioglu
  8. 8. 10. Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services.
  9. 9. Active Data Store
  10. 10. 2. Engage in the development of metadata and data standards and provide metadata services for research data. 7. Promote research data citation by applying persistent identifiers to research data. 8. Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure.
  11. 11. DataShare – open data repository
  12. 12. From Stuart Lewis, 2013: the-four-quadrants-of-research-data-curation-systems/ DataShare & related UoE RDM services
  13. 13. 5. Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing.
  14. 14. No silos: interoperation • Member COAR, RDA, UKCORR, Duraspace, IASSIST • Pursuing Data Seal of Approval • Joined DataCite via British Library • COUNTER-compliant via IRUS-UK • OpenAire guidelines • Registries: Databib,Re3data, OpenDOAR, DCC Pilot • Thomson-Reuters Data Citation Index • Endorsed by F1000 Research • Looking at AltMetrics
  15. 15. 9. Get involved in subject specific data management practice. 3. Create Data Librarian posts and develop professional staff skills for data librarianship.
  16. 16. UoE Data Library Service • finding… • accessing … • using … • teaching … • managing ChartsBin and mkandlez on flickr
  17. 17. Do-It-Yourself Research Data Management Training Kit for Librarians University of Stirling librarians Image by Lisa Haddow
  18. 18. Thanks & Links • Email: • MANTRA: • DIY RDM Training Kit: • UoE RDM Website: • Data Library: • Edinburgh Data Blog:

Editor's Notes

  • Planning: Support and services for planning activities that are typically performed before research data is collected or created

    AD Infra: Facilities to store data that are actively used in current research activities, to provide access to that storage, and tools to assist in working with the data

    Stewardship: Tools and services to aid in the description, deposit, and on-going management of completed research data outputs
  • Openly licensed online learning self-paced course in RDM for postgrads and early career researchers

    Grounded in three disciplines, working with post-graduate schools

    Video stories from researchers in variety of settings
    Data handling exercises in four software analysis packages
  • “I need to analyse some data for a project, but all I can find are published papers with tables and graphs, not the original data source.”
    Accessing …
    “I’ve found the data I need, but I’m not sure how to gain access to it.”
    Using …
    “I’ve got the data I need, but I’m having problems analysing it in my chosen software.”
    Teaching …
    “I need a dataset that shows the distribution of mobile phone use to engage my students.”