Your SlideShare is downloading. ×
  • Like
DAF methodology
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.


Now you can save presentations on your phone or tablet

Available for both IPhone and Android

Text the download link to your phone

Standard text messaging rates apply

DAF methodology


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

Published in Education , Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads


Total Views
On SlideShare
From Embeds
Number of Embeds



Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

    No notes for slide


  • 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 ; 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
  • 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)
  • 9. The DAF methodology
  • 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
  • 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
  • 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
      • University of Oregon
      • University of Northampton
      • Various JISC MRD projects…
  • 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:
  • 20. Useful reading
    • DAF implementation guide
    • DAFD lessons learned
    • DAF_lessons_learned.pdf
    • Jones, Sarah, Ball, Alex & Ekmekcioglu, Çuna, The Data Audit Framework: a first step in the data management challenge
    • DAF website -
  • 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:
  • 24. University of Northampton KeepIT (repository Preservation)
      • See slides by Miggie Pickton at :
    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:
  • 27. Thanks Any questions?