Transcript Data Informatics Top Ten : (for Libraries) Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre iEXPO Conference, Paris,

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 Licence
Attribution-ShareAlike 2.0
www.ukoln.ac.uk
A centre of expertise in digital information management
•
•
•
Multi-scale, complex &
highly data-intensive
Open data :
socialisation of science
Team science :
multi-disciplinary
multi-skilled
Context
eCrystals Blogging : sensor data
New roles for
Libraries?
http://www.flickr.com/photos/liginhatemis/1304663429/e
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 (with
institution senior
managers)
• Co-ordination
• Awareness &
Advocacy
• Deliver services
• National, institutional
• Beagrie study 2008
2. Policy • Model framework
Dealing with Data : Rec 10
• Mappings
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….
“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
5. Engagement
Case studies
• Atmospheric data
• Neuro-imaging
• Tele-health
• Architecture
• Mouse Atlas
http://www.flickr.com/photos/30435752@N08/2892112112/
6. Repositories
Quality Assurance
Trust
Standards
Audit and certification tools
• TRAC
7. Sustainability
eCrystals Curation Reports (3)
• PREMIS Data Dictionary
• OAIS
• Representation
Information
• Registry/Repository
• DRAMBORA
• PLATTER
• NESTOR
• Data Seal of Approval
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
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 London Dec 2009
Dealing with Data : Rec 5
http://bighugelabs.com/flickr/onblack.php?id=3266530240&size=large
“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
IJDC 2009
(in press)
• Increase capacity & capability
• Embed skills in LIS curriculum
• Develop career paths, incentivise
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