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DAF methodology

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A presentation on the DAF methodology given by Sarah Jones as part of the Spanish FEYCT Recolecta seminar series, 17 November 2011

A presentation on the DAF methodology given by Sarah Jones as part of the Spanish FEYCT Recolecta seminar series, 17 November 2011

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  • 1. The DAF methodology: addressing institutional data management Sarah Jones Digital Curation Centre [email_address] Funded by: This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 UK: Scotland License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/scotland/ ; or, (b) send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.
  • 2. Outline
      • Background to DCC
      • What is DAF?
      • Using DAF
      • Case studies
  • 3. What is the DCC?
      • JISC funded centre specialising in data management and curation
        • Develop tools
          • DAF, DMP Online, CARDIO
        • Offer guidance
          • Helpdesk, briefing papers, how-to guides
        • Run advocacy and training events
          • data management roadshow, DC101, IDCC
        • Support the JISC MRD programmes
    www.dcc.ac.uk
  • 4. RDM support for institutions RDM policy development Customised DMP templates DAF & CARDIO assessments Guidance and training Workflow assessment DCC support team Advocacy with senior mgmt Costing
  • 5. Outline
      • Background to DCC
      • What is DAF?
      • Using DAF
      • Case studies
  • 6. What is DAF?
      • A methodology to investigate / assess research data management
      • Created in a 6-month JISC project in 2008
      • The name has changed!
  • 7. What is the problem?
      • Do you know:
      • what research data you hold?
      • where those data are located?
      • how they are being stored / backed up?
      • which data need to be kept?
      • who can access & use the data?
      • If not, how can you manage your data?
  • 8. It started with a recommendation
      • “ JISC should develop a Data Audit Framework to enable all universities and colleges to carry out an audit of departmental data collections, awareness, policies and practice for data curation and preservation”
    • Liz Lyon, Dealing with Data: Roles, Rights,
    • Responsibilities and Relationships, (2007)
    • www.jisc.ac.uk/publications/reports/2007/dealingwithdatareportfinal.aspx
  • 9. The DAF methodology www.data-audit.eu/docs/DAF_Implementation_Guide.pdf
  • 10. Testing the method: pilot projects
    • University of Edinburgh
      • physiology, divinity, history, brain imaging, astronomy
    • King’s College London
      • humanities, social science, physical science, engineering, medical
    • Imperial College London
      • Chemical engineering, physics & business school
    • University College London
      • Scandanavian studies, archaeology, physics/astronomy, language and communication, phonetic sciences, interdisciplinary
      • www.data-audit.eu/users.html
  • 11. What we found
    • Lots of data being created
    • Few policies for data creation, storage & management
    • Researchers unsure where to begin
    • Unaware of available support
    • Often no place of deposit or funds for preservation
    • International Journal of Digital Curation
    • http://www.ijdc.net/ijdc/article/view/91/109
  • 12. Key conclusion for using DAF
    • Most unis are in the very early stages
    • Infrastructure is lacking
    •  emphasis on scoping needs
  • 13. Subsequent usage
      • DataShare project – Oxford and Southampton
        • www.disc-uk.org/docs/DAF-Oxford.pdf
        • www.disc-uk.org/docs/SouthamptonDAF.pdf
      • University of Oregon
        • www.ariadne.ac.uk/issue64/westra/
      • University of Northampton
        • http://nectar.northampton.ac.uk/2736/
      • Various JISC MRD projects…
        • www.jisc.ac.uk/whatwedo/programmes/mrd.aspx
  • 14. Outline
      • Background to DCC
      • What is DAF?
      • Using DAF
      • Case studies
  • 15. How to gather information?
      • Desk-research
        • policies / guidelines, available services, websites
      • Questionnaires
      • Interviews
      • Focus groups
      • Shadowing / observational approach
  • 16. Questionnaires Good way to identify people for interview Useful to get a broad overview of data types, volumes, storage etc
  • 17. Interviews Framing interviews in terms of questions in DMPs will give a tangible benefit to researchers – they then know what to write on the next grant proposal. = The DCC lifecycle model can be useful to structure discussion in interviews.
  • 18. Who to speak to?
      • PhD students / Research Assistants
      • Principal Investigators (lead researchers)
      • Local IT / research support
      • Administrators
      • Service staff
  • 19. Implementation tips
    • Scope the audit carefully
    • Timing needs to be appropriate
    • Find an advocate in the department
    • The process is valuable in itself
    • Lessons learned: www.data-audit.eu/docs/DAF_lessons_learned.pdf
  • 20. Useful reading
    • DAF implementation guide
    • www.data-audit.eu/docs/DAF_Implementation_Guide.pdf
    • DAFD lessons learned
    • www.data-audit.eu/docs/ DAF_lessons_learned.pdf
    • Jones, Sarah, Ball, Alex & Ekmekcioglu, Çuna, The Data Audit Framework: a first step in the data management challenge www.ijdc.net/ijdc/article/view/91/109
    • DAF website - www.data-audit.eu
  • 21. Outline
      • Background to DCC
      • What is DAF?
      • Using DAF
      • Case studies
  • 22. University of Oxford Scoping Digital Repository Services EIDCSR (embedding services) Sudamih (humanities data mgmt) Admiral (life science data mgmt) UKRDS pathfinder
  • 23. DAF at Oxford
    • Briefly explain your area of research / types of research questions
    • Discuss research tasks that involve data management at:
        • Funding application e.g. planning data creation / management
        • Data collection e.g. data types, standards, methods
        • Processing of data e.g. annotation, storage, security
        • Publishing e.g. plans, data sharing, deposit
    • Support at local / institutional level for this management of data
    • Challenges when managing data / service requirements
    • Final questions / de-brief
      • Report at: http://www.disc-uk.org/docs/DAF-Oxford.pdf
  • 24. University of Northampton KeepIT (repository Preservation)
      • See slides by Miggie Pickton at :
      • www.dcc.ac.uk/events/research-data-management-forum/rdmf7-incentivising-data-management-sharing
    RDM policy DCC support Training
  • 25. DAF at Northampton
    • Data collection in three stages
      • initial interviews with research leaders in each School
      • online survey of researchers
      • one-to-one interviews with researchers
    • Topics covered:
      • types, sizes and formats of research data
      • data ownership
      • storage
      • security
      • sharing and access (short and long term)
      • funders’ requirements
  • 26. Recommendations
    • Draft & approve a Research Data Policy
    • Clarify the Uni position on data ownership
    • Promote training sessions and guides to RDM
    • Assist researchers with preservation planning
    • Disseminate findings, guidance and new policy
    • Report: http://nectar.northampton.ac.uk/2736/
  • 27. Thanks Any questions?