Facing the Data Challenge: Institutions, Disciplines, Services and Risks

1. UKOLN is supported by: Facing the Data Challenge : Institutions, Disciplines, Services & Risks Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre 1 st DCC Regional Roadshow, Bath November 2010 This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

2. Overview
Facing the data challenge : Requirements, Risks, Costs
Reviewing Data Support Services : Analysis, Assessment, Priorities
Building Capacity & Capability : Skills Audit
Developing a Strategic Plan : Actions and Timeframe

3. Institutional Diversity http://www.flickr.com/photos/mintchocicecream/7491707/ Facing the Data Challenge

4. Case studies Oxford, Cambridge, Edinburgh, Southampton

5. Based on DCC Curation Lifecycle Model

6. Disciplinary Diversity eScience Case studies

7. http://www.flickr.com/photos/[email protected]/2892112112/
SCARP Case studies
Atmospheric data
Neuro-imaging
Tele-health
Architecture
Mouse Atlas

8. http://www.dcc.ac.uk/sites/default/files/documents/publications/SCARP%20SYNTHESIS.pdf
Recommendations:
JISC
HE & Research funders
Publishers & Learned societies
HEIs and research institutions
Researchers & scholars

9. http://www.data-archive.ac.uk/media/203597/datamanagement_socialsciences.pdf http://opus.bath.ac.uk/20896/1/erim2rep100420mjd10.pdf

10.
Quick & simple deposit
Software tools
Laboratory archive
Crystallography community engaged
Embargo facility
Structured foundations
Discoverable & harvestable

11. Data Curation Profiles

12. Exercise 1a: Gathering requirements
What are the researchers data requirements?
What datasets exist already? Standards?
What are their data priorities? Skills?
Research methodologies? Plans?
Equipment and instrumentation? Formats?
Where are the pain points?
How will you find out? Approaches to use?
How will you use the information?

13. Exercise 1b: Motivation, benefits, risks
What are the RDM drivers and enablers for research staff and post-grad students?
RDM drivers and enablers for Libraries / IT / Computing Services / Information Services?
RDM drivers and enablers for the institution?
What are the barriers? What are the risks?
How will you articulate the benefits?

14. Exercise 1c: Costs & sustainability
What are the costs associated with RDM?
For the researcher?
For the institution?
Direct / indirect costs? Fixed / variable costs?
What cost data already exists?
What time horizon are you considering?

15.
Survey e.g. Oxford, Parse.Insight
Focus groups : semi-structured interviews
Case studies departmental / disciplinary
Joint R&D projects
Data champions in departments
Data Preservation readiness : AIDA tool
Data audit / assessment : DAF tool
Requirements gathering: Approaches and tools

16. Benefits: Prioritisation of resources Capacity development and planning Efficiency savings move data to more cost-effective storage Manage risks associated with data loss Realise value through improved access & re-use Scale: Departments, institutions Dealing with Data Report : Rec 4

17.
DAF Implementation Guide October 2009
Collating lessons of pilot studies
Practical examples of questionnaires and interview frameworks
DAF online tool autumn 2010
http://www.data-audit.eu/docs/DAF_Implementation_Guide.pdf

18. Methodology http://www.data-audit.eu/DAF_Methodology.pdf

19. Data Audit / Asset Framework pilots May-July 2008

20. http://sudamih.oucs.ox.ac.uk/docs/Use%20of%20the%20DAF.pdf http://eprints.ucl.ac.uk/15053/1/15053.pdf

21. Some lessons learned.
CeRch had four false starts before finding a willing audit partner
Pick your moment .Timing is key (avoid exams, field trips, Boards)
Plan well in advance!
Be prepared to badger senior management
Little documentation/knowledge of what exists:a nightmare
Defining the scope and granularity is crucial
Collect as much information as possible in interviews/surveys
Variable openness of staff and their data

22. Identifying risks
Data loss (institution, research group, individual)
Increased costs (lack of planning, service inefficency, data loss)
Legal compliance (research funder, H&S, ethics, FoI)
Reputation (institution, unit, individual)

23. http://foiresearchdata.jiscpress.org/ Freedom of Information FAQ (Draft)

24. Sustainability: Who owns? Who benefits? Who selects? Who preserves? Who pays?

25. Benefits Taxonomy: Summary Keeping Research Data Safe2 Report: April 2010 Dimension 1 Direct Indirect (costs avoided) Dimension 2 Near-term Long-term Dimension 3 Private Public

26. KRDS
Which costs?
Effect over time?
Benefits taxonomy
Repository models
Case studies
Key cost variables
Recommendations
User Guide, business templates forthcoming 2010

27. Reviewing Data Support Services Analysis, Assessment, Priorities

28.
Scale, Complexity, Predictive Potential
Continuum of Openness
Citizen Science
Credentials, Incentives, Rewards
Institutional Readiness & Response
Data Informatics Capacity & Capability
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/publications.html#november-2009
Open Science at Web-Scale

29. 1. Leadership 2. Policy 3. Planning 4. Audit 6. Repositories & Quality assurance 8. Access & Re-use 10. Community building 9. Training & skills Data Informatics Top 10 5. Engagement 7. Sustainability

30. Exercise 2: Analysis, Assessment, Priorities
Institutional stakeholders?
Data support services?
Range, scope, coverage?
Gaps?
Fitness for purpose?
Timeliness?
Resources?
Skills?
SWOT

31. Strengths Weaknesses (Gaps) Threats Opportunities

32. Digital Preservation

Facing the Data Challenge: Institutions, Disciplines, Services and Risks

data challenge

data report

martin donnelly

jeff haywood

rdm drivers

skills audit

october 2010 http

pdf http

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A centre of expertise in digital information management UKOLN is supported by: Facing the Data Challenge : Institutions, Disciplines, Services

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