Libraries and Team Science Dr Liz Lyon Director

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 Licence Attribution-Share. Alike 2. 0 www. ukoln. ac. uk A centre of expertise in digital information management

1. Team Science : doing C 21 st research 2. Data Informatics Top Ten : (for Libraries) 3. Looking to the Future? Running order http: //www. flickr. com/photos/texaseagle/3335901360/sizes/o/

Team Science : doing C 21 st research http: //www. flickr. com/photos/good_day/10303261/sizes/l/

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

e. Crystals Team Domain (Chemists) Computer science Informatics Simon Coles, Mike Hursthouse, Jeremy Frey, Cameron Neylon, Andrew Milsted, Richard Stephenson, Jamie Robinson, Steven Wilson, Andrew Bailey, Mark Borkum Dave De. Roure, 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

Data Informatics Top 10 (for Libraries)…

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

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

2. Policy National. . . international…

…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 Dealing with Data : Rec 10 Exemplars

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 Dealing with Data : Rec 9 Agreement/ratification by stakeholders

Work in progress…

Benefits: 4. Audit 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: Rec 4

Data Audit Framework pilots May-July 2008

Some lessons learned…. “Ce. Rch 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

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

SCARP Case studies • Atmospheric data • Neuro-imaging • Tele-health • Architecture • Mouse Atlas http: //www. flickr. com/photos/30435752@N 08/2892112112/

6. Repositories

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

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

8. Access & Re-use “Community Criteria for Interoperability” (Scaling Up Report 2008) • Domain data format standard: CIF • Domain data validation standard: Check. CIF • Metadata schema: e. Crystals 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

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

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

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

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

“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. ” UK ? ? “there are…not” in al enough 5 nt 200 specialised data 8 librarians yet” ly ideate June On cc Upd a Cilip “research library community in the UK “Recommendation: The 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

IJDC 2009 (in press) • Increase capacity & capability • Embed skills in LIS curriculum • Develop career paths, incentivise www. ukoln. ac. uk A centre of expertise in digital information management

Take homes 1. Library is in data informatics team 2. Human curation infrastructure. . 3. Increase capacity & capability NOW http: //english. china. com/zh_cn/Olympic/other/11068324/2008 0819/images/15037801_2008081911114295214300. jpg

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