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Team Science in the 21st Century: Data Informatics for Libraries

Explore the concept of team science in the modern research landscape and how libraries can adapt to promote data informatics. Topics include leadership, policy, planning, audit, engagement, repositories, quality assurance, sustainability, access, re-use, and training & skills.

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Team Science in the 21st Century: Data Informatics for Libraries

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  1. Libraries and Team Science Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre ICSTI Conference, Ottawa, Canada, June 2009 UKOLN is supported by: This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0

  2. Team Science : doing C21st research • Data Informatics Top Ten : (for Libraries) • Looking to the Future? Running order http://www.flickr.com/photos/texaseagle/3335901360/sizes/o/

  3. Team Science : doing C21st research http://www.flickr.com/photos/good_day/10303261/sizes/l/

  4. What do we mean by Team Science? • Science as a social activity • Tweet • Blog • Comment • Rate • Vote • Recommend • Tag • Share • Mash • Trust is key • Inter-institutional collaboration –better science (Brian Uzzi, 2008) • Increasingly “open” • Multi-disciplinary • Core team skills

  5. eCrystals Team Simon Coles,Mike Hursthouse, Jeremy Frey, Cameron Neylon, Andrew Milsted, Richard Stephenson, Jamie Robinson, Steven Wilson, Andrew Bailey, Mark Borkum Dave DeRoure, Les Carr, Monica Schraefel, Chris Gutteridge, Tim Myles-Board, Arouna Woukei, Dave Tarrant, Stuart Middleton Liz Lyon, Manjula Patel,Rachel Heery, Monica Duke, Michael Day, Traugott Koch, Pete Cliff Domain (Chemists) Computer science Informatics

  6. Data Informatics Top 10 (for Libraries)…

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

  8. 1. Leadership • Leadership (institution senior managers) • VC : Strategic imperative • PVC / VP research : Data policy development • IT Director : Storage infrastructure provision • Co-ordination • Faculty audit co-ordination • Awareness & Advocacy • Workshops • Promote best practice • Curation Lifecycle management • Delivery • New support services

  9. 2. Policy National... international…

  10. …and local JISC Digital Preservation Policies Study Neil Beagrie, October 2008 High-level pointers and guidance Outline policy model/framework Mappings to UK institutional strategies Exemplars Dealing with Data : Rec 10

  11. Introduction & context Legal, rights & ethical issues Access, data sharing & re-use Data collection / development methods Data standards Short-term data storage & data management Deposit & long-term preservation Resourcing Compliance & review Agreement/ratification by stakeholders 3. Planning Dealing with Data : Rec 9

  12. Work in progress…

  13. 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 4. Audit Dealing with Data: Rec 4

  14. Data Audit Framework pilots May-July 2008

  15. 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

  16. 5. Engagement • Remote support or integrated team science? • Passive observation or proactive participation? • Models? • Role extension (Faculty / subject / liaison librarians) • Secondments • Joint R&D projects • Immersive disciplinary case studies

  17. SCARP Case studies • Atmospheric data • Neuro-imaging • Tele-health • Architecture • Mouse Atlas http://www.flickr.com/photos/30435752@N08/2892112112/

  18. 6. Repositories

  19. Quality Assurance • Trust • Standards • Audit and certification tools • TRAC • DRAMBORA • PLATTER • NESTOR • Data Seal of Approval • Cost models • Life2 • Neil Beagrie: Keeping Research Data Safe 2

  20. 7. Sustainability • PREMIS Data Dictionary • OAIS • Representation Information • Registry/Repository RRORI

  21. 8. Access & Re-use • “Community Criteria for Interoperability” (Scaling Up Report 2008) • Domain data format standard: CIF • Domain data validation standard: CheckCIF • Metadata schema: eCrystals Application Profile • http://www.ukoln.ac.uk/projects/ebank-uk/schemas/ • Crystallography Data Commons: TIDCC Data Model in development • Domain identifier: International Chemical Identifier • Citation & linking: DOI http://dx.doi.org/10.1594/ecrystals.chem.soton.ac.uk/145 • Embargo & Rights http://ecrystals.chem.soton.ac.uk/rights.html

  22. 9. Training & Skills • DC 101 + DC 101 Lite courses • Lectures + hands-on • Audience: researchers, information professionals • Based on Curation Lifecycle Model + research project scenario • Online version in prep. “excellent : probably the best course I have been on since starting my role as an Informatics Liaison Officer” Dealing with Data : Rec 33

  23. 10. Community-building • Bring diverse groups together: data centre and IR managers, librarians, funders, policy makers, researchers • Facilitate co-operation • Exchange experience and best practice • Research Data Management Forum http://www.dcc.ac.uk/data-forum/ • 1) Roles & Responsibilities • 2) Value & Benefits • International Digital Curation Conference Dealing with Data : Rec 5

  24. Moving to Multi-Scale Science: Managing Complexity & Diversity http://bighugelabs.com/flickr/onblack.php?id=3266530240&size=large

  25. Looking to the Future? http://www.flickr.com/photos/cyber_chof/1246303241/sizes/m/

  26. Only 5 in UK - “accidental”?? Cilip Update June 2008 “The role of the Library in data-intensive research is important and a strategic repositioning of the Library with respect to research support is now appropriate.” “there are…not enough specialised data librarians yet” “Recommendation: The research library community in the UK should work with universities and research institutes to define properly and to formalise the role of data librarians, and todevelop a curriculum that ensures a suitable supply of librarians skilled in data handling.” Dealing with Data : Rec 34

  27. IJDC 2009 (in press) • Increase capacity & capability • Embed skills in LIS curriculum • Develop career paths, incentivise

  28. http://english.china.com/zh_cn/Olympic/other/11068324/20080819/images/15037801_2008081911114295214300.jpghttp://english.china.com/zh_cn/Olympic/other/11068324/20080819/images/15037801_2008081911114295214300.jpg Take homes • Library is in data informatics team • Human curation infrastructure.... • Increase capacity & capability NOW

  29. Slides will be available at :http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/presentations.htmlhttp://www.dcc.ac.uk/

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