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Maximizing Data Potential: Leadership, Engagement, and Sustainability in Libraries

Explore the top 10 data informatics strategies for libraries, including leadership, policy, planning, audit, engagement, repositories, sustainability, access and re-use, training and skills, and community building.

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Maximizing Data Potential: Leadership, Engagement, and Sustainability in Libraries

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  1. Data Informatics Top Ten : (for Libraries) Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre iEXPO Conference, Paris, June 2009 UKOLN is supported by: This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0

  2. Multi-scale, complex & highly data-intensive • Open data : socialisation of science • Team science : multi-disciplinary multi-skilled Context eCrystals Blogging : sensor data

  3. New roles for Libraries? http://www.flickr.com/photos/liginhatemis/1304663429/e

  4. 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

  5. 1. Leadership • Leadership (with institution senior managers) • Co-ordination • Awareness & Advocacy • Deliver services • National, institutional • Beagrie study 2008 • Model framework • Mappings 2. Policy Dealing with Data : Rec 10

  6. 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

  7. Work in progress…

  8. 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

  9. Data Audit Framework pilots May-July 2008

  10. 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

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

  12. 6. Repositories

  13. Quality Assurance • Trust • Standards • Audit and certification tools • TRAC • DRAMBORA • PLATTER • NESTOR • Data Seal of Approval 7. Sustainability • eCrystals Curation Reports (3) • PREMIS Data Dictionary • OAIS • Representation Information • Registry/Repository RRORI

  14. 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

  15. 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

  16. 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 London Dec 2009 Dealing with Data : Rec 5 http://bighugelabs.com/flickr/onblack.php?id=3266530240&size=large

  17. 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

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

  19. 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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