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Research Data Management    for the Visual Arts: Principles, Policies, and Plans           Dr Robin Burgess           31st...
Context Session One:               Session Two:• Introduction to Kaptur   • DCC involvement• Environmental            • GS...
Learning Objectives                  •   Understand the nature of                      research data in the visual arts   ...
SESSION ONE:The Basics and Initial    Discussions
KAPTUR• To investigate the nature of research data in the visual arts• To consider the application of technology to suppor...
Background • Research outputs are varied and   complex in the visual arts • Little is known about the state of   research ...
Process          • Environmental            Assessment          • User            Requirements,            systems evaluat...
Environmental Assessment•   Discover, Create and pilot   •   4 researchers from each institute    a sectoral model of best...
Interview Findings•   The term ‘research data’ was not helpful•   Researchers undertake multiple roles•   Creation of data...
Quote from a researcher:“… I am not sure what constitutes researchdata… What is data? I mean, I talk to you aboutmy data a...
Definition "Anything which is used or created to generate new knowledge and interpretations. ‘Anything’ may be objective o...
EXAMPLES OF ARTS RESEARCH DATA
Why Manage Research Data? • What are the drivers and incentives for   management of research data? • Who benefits? • Funde...
Funder Requirements • EPSRC                  • AHRC • Policies required to   • Technical Summary   secure funding by      ...
Summary
SESSION TWO: POLICY DEVELOPMENTAND DATA MANAGEMENT        PLANS
Policy Development• Involvement of Kaptur• Support from project partners• Liaison with outside sources – e.g. the DCC• Att...
Approach• Context                       • Iterative process• Definition of research data   • Discussions held• Policy stat...
The Policy Roles and                 Preservation Responsibilities• The Glasgow School of    • Data curation/retention  Ar...
Data Management,Methods Research Repository   Other Software                       • DCC tools                       • DMP...
Data Management Plans• Importance of plans, in relation to funder  requirements• AHRC Example:- Section One: Summary- Sect...
Plans continued…              • Summary:              - What? And How?              - Relationship to research            ...
Plans Continued…           • Support:           - Roles and responsibilities           - Managing risk           • Preserv...
SUMMARY          • Define the digital outputs            and technologies          • Why have they been            chosen?...
TECHNICAL METHODOLOGY          • What file formats will            be used and why?          • What standards will be     ...
SUPPORT          • Consider project team            roles and technical            expertise          • Internal support n...
PRESERVATION          • Research ‘freely available            to the community’?          • Online resources          • Im...
CommentsIssues:                    Lessons Learnt:• Building the support     • To be open and discuss  network at GSA     ...
Next Steps             • Approval of the RDM               Policy at RKEC             • Implementation of               Po...
Acknowledgements•   The project officers from partner institutes•   VADS•   JISC for sponsoring the project•   DCC•   Artw...
Gsa rdm training
Gsa rdm training
Gsa rdm training
Gsa rdm training
Gsa rdm training
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Gsa rdm training

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Presentation given by Robin Burgess at The Glasgow School of Art's RDM workshop on 31st January 2013.

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Gsa rdm training

  1. 1. Research Data Management for the Visual Arts: Principles, Policies, and Plans Dr Robin Burgess 31st January 2013
  2. 2. Context Session One: Session Two:• Introduction to Kaptur • DCC involvement• Environmental • GSA’s RDM Policy Assessment • Roles and responsibilities• What is Arts Research • Use and reuse of data Data? • Repository and resources• Funder Requirements • Data management plans• Examples • Next steps for GSA• The need for research data management
  3. 3. Learning Objectives • Understand the nature of research data in the visual arts • Appreciate the importance of research data • Understand the basic principles of data management for research data • The creation of policies and data management plans • Future considerations for GSA • Discuss with others and learn – knowledge exchange
  4. 4. SESSION ONE:The Basics and Initial Discussions
  5. 5. KAPTUR• To investigate the nature of research data in the visual arts• To consider the application of technology to support collection, discoverability, usage, and preservation of research data in the arts• To review appropriate policies, procedures and systems• To develop case studies and showcase good practice to a wider audience
  6. 6. Background • Research outputs are varied and complex in the visual arts • Little is known about the state of research data in the visual arts • None of the specialist arts institutions have research data management policies of infrastructure
  7. 7. Process • Environmental Assessment • User Requirements, systems evaluation and piloting • Policy formation • Capacity building • Sustainability • Dissemination
  8. 8. Environmental Assessment• Discover, Create and pilot • 4 researchers from each institute a sectoral model of best chosen, from a broad range of practice in the disciplines management of research • Areas discussed data in the arts - Terminology• What is research data in - Role of the visual arts researcher the arts? - Creation of visual arts research• How can visual arts data data be managed appropriately - Use/re-use of visual arts data - Visual arts data in the longer term
  9. 9. 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• 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
  10. 10. Quote from a researcher:“… I am not sure what constitutes researchdata… What is data? I mean, I talk to you aboutmy data as a researcher, but for the institution,what does it consider data? Would it beconference proceedings, would a performancebe data even if it was not recorded, sometimes Idon’t record my performances…”
  11. 11. Definition "Anything which is used or created to generate new knowledge and interpretations. ‘Anything’ may be objective or subjective; physical or emotional; persistent or ephemeral; personal or public; explicit or tacit; and is consciously or unconsciously referenced by the researcher at some point during the course of their research. Research data may or may not lead to a research output, which regardless of method of presentation, is a planned public statement of new knowledge or interpretation."
  12. 12. EXAMPLES OF ARTS RESEARCH DATA
  13. 13. Why Manage Research Data? • What are the drivers and incentives for management of research data? • Who benefits? • Funder Requirements • Institutional Requirements • Good practice in research
  14. 14. Funder Requirements • EPSRC • AHRC • Policies required to • Technical Summary secure funding by • “We expect all or research projects to have some form of documentation 1st May 2015 of the research process, which • Road map usually takes the form of textual analysis or explanation to support development and the research’s position and to data management demonstrate critical reflection” plans
  15. 15. Summary
  16. 16. SESSION TWO: POLICY DEVELOPMENTAND DATA MANAGEMENT PLANS
  17. 17. 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
  18. 18. Approach• Context • Iterative process• Definition of research data • Discussions held• Policy statements • Obtaining feedback• Implementation methods • Sign off and agreement
  19. 19. The Policy Roles and Preservation Responsibilities• The Glasgow School of • Data curation/retention Art • Presentation and• Individual Researchers showcasing work• IT • Selection process• Information Services • FOI• The Research Office • Institutional policies and guidelines/strategies
  20. 20. Data Management,Methods Research Repository Other Software • DCC tools • DMP Online • https://dmponline.dcc.ac.uk/ • Free data management planning tool • Includes AHRC technical plan and others • Can be customised
  21. 21. Data Management Plans• Importance of plans, in relation to funder requirements• AHRC Example:- Section One: Summary- Section Two: Technical Methodology- Section Three: Technical support and relevant experience- Section Four: Preservation, sustainability and use
  22. 22. Plans continued… • Summary: - What? And How? - Relationship to research • Technical Methodology - Standards and formats - Hardware and software - Data acquisition, processing, analysis and use
  23. 23. Plans Continued… • Support: - Roles and responsibilities - Managing risk • Preservation: - Preserving your data - Ensuring continued access and use of your digital outputs
  24. 24. SUMMARY • Define the digital outputs and technologies • Why have they been chosen? • Describe source data or content • How will outputs be used? • How do they relate to the research questions? • What access will be granted?
  25. 25. TECHNICAL METHODOLOGY • What file formats will be used and why? • What standards will be in place? • Systems fit for purpose • Outline project workflows and procedures
  26. 26. SUPPORT • Consider project team roles and technical expertise • Internal support networks • External support networks • Risks associated with lack of support
  27. 27. PRESERVATION • Research ‘freely available to the community’? • Online resources • Impact of the study • IPR, Copyright, Ethical issues, FOI • Support after the end of funding, technical requirements etc
  28. 28. CommentsIssues: 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
  29. 29. Next Steps • Approval of the RDM Policy at RKEC • Implementation of Policy within the ethos of research at GSA • Support from Learning Resources and Research Office
  30. 30. Acknowledgements• The project officers from partner institutes• VADS• JISC for sponsoring the project• DCC• Artwork images – By Burgess&Bear• (http://www.facebook.com/BurgessBear) THANKYOU!http://www.vads.ac.uk/kaptur/

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