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Developing a Research Data
   Management Policy
 The Glasgow School of Art in conjunction with KAPTUR



                    Dr Robin Burgess
                   5th December 2012
Presentation Context
• Introduce the KAPTUR project
• Highlight policy development at GSA
• Comment on the issues and lessons learnt
  so far
• Give details of the next steps in
  development
KAPTUR
• Objective is to discover, create and pilot a
  sectoral model of best practice in the
  management of research data in the visual
  arts.
Process
• Requirements set by funding bodies
• Discussions amongst project team on the
  issues of data management
• Approach developed to involve
  researchers and other infrastructure
• Interviews
• Environmental assessment
Interview Process
• 4 researchers from each institute chosen,
  from a broad range of disciplines
• Areas discussed
-   Terminology
-   Role of the visual arts researcher
-   Creation of visual arts research data
-   Use/re-use of visual arts data
-   Visual arts data in the longer term
Interview Findings
•   The term ‘research data’ was not helpful
•   Researchers undertake multiple roles
•   Creation of data altered
•   Awareness of use and re-use present
•   Importance of archiving raised
•   Brought about the environmental
    assessment report
Quote from a researcher:
“… I am not sure what constitutes research
data… What is data? I mean, I talk to you about
my data as a researcher, but for the institution,
what does it consider data? Would it be
conference proceedings, would a performance
be data even if it was not recorded, sometimes I
don’t record my performances…”
Environmental Assessment
• Little consensus in the visual arts on what
  research data is
• Described as tangible, intangible, digital,
  and physical
• Visual arts data is heterogeneous and
  infinite, complex and complicated
• http://www.vads.ac.uk/kaptur/
Policy Development
• Involvement of Kaptur
• Support from project partners
• Liaison with outside sources – e.g. the DCC
• Attendance at events – Conference in Leeds
• Involvement of interested parties at GSA – IT,
  Information Services and the Library,
  Research Office, Researchers
• Working Groups
Approach




• Context                       • Iterative process
• Definition of research data   • Discussions held
• Policy statements             • Obtaining feedback
• Implementation methods        • Sign off and agreement
Comments
Issues:                    Lessons Learnt:
• Building the support     • To be open and discuss
  network at GSA             the work fully
• Extensive focus on the   • Identify the correct people
  REF process                to engage with
• Changes in management    • Formulate an action plan
• Changes in staffing        for development
• Expressing the           • Communicate
  importance of policies   • Obtain by-in early on
• EPSRC letter
Next Steps
 Moving Forwards:              Additional Work:
 • Complete 2nd draft policy   • Present at an All Staff
   document by 21st              meeting about Kaptur
   December 2012               • Educate the research
 • Share with Head of            office on the importance
   Information services          of the policy for bid
 • Make relevant changes         writing/funding
   and share with research     • Educate research staff
   office                        through workshops and
 • February 2013, present to     training
   research and knowledge      • Promotional work
   exchange committee          • Conferences
What is Arts Research
Data?




What is arts research data?        What is arts research data?
What does it mean to you?          We tried to find out
Research art design architecture   We asked various researchers
I’m going to tell you              And this is what we found…
A-Z of research data…
•K is for KEEP
•A is for ARCHIVE
•P is for PROCESS
•T is for TEACHING
•U is for UNFINISHED
•R is for REPOSITORY
Acknowledgements
•   The project officers from partner institutes
•   VADS
•   JISC for sponsoring the project
•   DCC
                THANKYOU!

http://www.vads.ac.uk/kaptur/

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Dcc roadshow dundee_rb

  • 1. Developing a Research Data Management Policy The Glasgow School of Art in conjunction with KAPTUR Dr Robin Burgess 5th December 2012
  • 2. Presentation Context • Introduce the KAPTUR project • Highlight policy development at GSA • Comment on the issues and lessons learnt so far • Give details of the next steps in development
  • 3. KAPTUR • Objective is to discover, create and pilot a sectoral model of best practice in the management of research data in the visual arts.
  • 4. Process • Requirements set by funding bodies • Discussions amongst project team on the issues of data management • Approach developed to involve researchers and other infrastructure • Interviews • Environmental assessment
  • 5. Interview Process • 4 researchers from each institute chosen, from a broad range of disciplines • Areas discussed - Terminology - Role of the visual arts researcher - Creation of visual arts research data - Use/re-use of visual arts data - Visual arts data in the longer term
  • 6. Interview Findings • The term ‘research data’ was not helpful • Researchers undertake multiple roles • Creation of data altered • Awareness of use and re-use present • Importance of archiving raised • Brought about the environmental assessment report
  • 7. Quote from a researcher: “… I am not sure what constitutes research data… What is data? I mean, I talk to you about my data as a researcher, but for the institution, what does it consider data? Would it be conference proceedings, would a performance be data even if it was not recorded, sometimes I don’t record my performances…”
  • 8. Environmental Assessment • Little consensus in the visual arts on what research data is • Described as tangible, intangible, digital, and physical • Visual arts data is heterogeneous and infinite, complex and complicated • http://www.vads.ac.uk/kaptur/
  • 9. Policy Development • Involvement of Kaptur • Support from project partners • Liaison with outside sources – e.g. the DCC • Attendance at events – Conference in Leeds • Involvement of interested parties at GSA – IT, Information Services and the Library, Research Office, Researchers • Working Groups
  • 10. Approach • Context • Iterative process • Definition of research data • Discussions held • Policy statements • Obtaining feedback • Implementation methods • Sign off and agreement
  • 11. Comments Issues: Lessons Learnt: • Building the support • To be open and discuss network at GSA the work fully • Extensive focus on the • Identify the correct people REF process to engage with • Changes in management • Formulate an action plan • Changes in staffing for development • Expressing the • Communicate importance of policies • Obtain by-in early on • EPSRC letter
  • 12. Next Steps Moving Forwards: Additional Work: • Complete 2nd draft policy • Present at an All Staff document by 21st meeting about Kaptur December 2012 • Educate the research • Share with Head of office on the importance Information services of the policy for bid • Make relevant changes writing/funding and share with research • Educate research staff office through workshops and • February 2013, present to training research and knowledge • Promotional work exchange committee • Conferences
  • 13. What is Arts Research Data? What is arts research data? What is arts research data? What does it mean to you? We tried to find out Research art design architecture We asked various researchers I’m going to tell you And this is what we found…
  • 14. A-Z of research data… •K is for KEEP •A is for ARCHIVE •P is for PROCESS •T is for TEACHING •U is for UNFINISHED •R is for REPOSITORY
  • 15. Acknowledgements • The project officers from partner institutes • VADS • JISC for sponsoring the project • DCC THANKYOU! http://www.vads.ac.uk/kaptur/