1. A centre of expertise in digital information management www.ukoln.ac.uk UKOLN is supported by: 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 This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

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

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

5. 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

6. 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

7. 3. Planning 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 Dealing with Data : Rec 9

8. Work in progress…

9. 4. Audit Dealing with Data: Rec 4 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

10. Data Audit Framework pilots May-July 2008

11. 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

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

13. 6. Repositories

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

15. 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

16. 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

17. 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

18. 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 to develop a curriculum that ensures a suitable supply of librarians skilled in data handling. Dealing with Data : Rec 34 Only 5 in UK - accidental?? Cilip Update June 2008

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

20. A centre of expertise in digital information management www.ukoln.ac.uk Slides will be available at : http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/presentations.html http://www.dcc.ac.uk/