Working in partnership with the eScience community

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Working in partnership with the eScience community

• Graham Pryor
• Associate Director, eScience Liaison
• Digital Curation Centre, Edinburgh

Funded by
This work is licensed under a Creative Commons
LicenceAttribution-ShareAlike 2.0
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Our objectives for today

• To learn more about eScience initiatives in
  Edinburgh
• To tell you about some current DCC activities
• To identify (some of) your data issues and how we
  can help
• To encourage and develop partnerships
• To identify next steps

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UK Digital Curation Centrehttp//www.dcc.ac.uk/

• Phase 2
• Community Development
• Curation Services
• Tools Infrastructure
• Resources and Events
• Research Agenda
• SCARP Project

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Community development activities

• Data Centres support and join-up
• Research Data Management Forum
• eScience Projects
• Building closer links partnerships
• e.g. CARMEN

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CARMEN http//www.carmen.org.uk/

• Enabling sharing and collaborative exploitation
  of data, analysis code and expertise that are not
  physically collocated

Source CARMEN SFN
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Community development activities

• Data Centres support and join-up
• Research Data Management Forum
• eScience Projects
• Building closer links partnerships e.g.
  CARMEN
• SCARP Project
• Longitudinal, immersive case studies
• Comparing individual discipline approaches to the
  creation, use and exploitation of data
• Producing a register of best practice that
  crosses discipline and institutional borders

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Time-centric view of data curation?
For later use? In use now (and the future)?
Static
Dynamic
Data preservation
Data curation
maintaining and adding value to a trusted body
of digital information for current and future use
Image courtesy of Dr E J Lyon
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(e)Research Life Cycle view of Data Curation?
(New) knowledge extraction data mining,
modelling, analysis, synthesis
Formulate hypothesis / ideas, test, experiment,
observe data creation, collection capture
Data processing
Data processing
Data processing
Data management storage validation
description, deposit, self-archiving,
preservation, certification
e-Infrastructure Open access Collaboration
Adding value Data linking, annotation,
visualisation, simulation
Data processing
Data processing
Scholarly communications data disclosure,
publication, citation, discovery, re-use
This work is licensed under a Creative Commons
LicenseAttribution-ShareAlike 2.0
Image courtesy of Dr E J Lyon
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Curation Life Cycle Model
Designed by Sarah Higgins
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DCC Tools

• Diffuse Standards Frameworks - http//www.dcc.ac.u
  k/diffuse/
• Access to domain-specific information about the
  range of standards and specifications for
  curating and preserving access to digital
  materials
• Answers
• What standards should I be using?
• When should I use them?

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Policy environment
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Policy environment

• Define current and future research data service
  needs
• Identify priorities for action
• Develop scenarios/options - from do nothing to
  a managed national service
• Develop business plan for preferred option(s),
  with costs/benefits
• Indicate scale of investment required and
  estimated ROI
• http//www.ukrds.ac.uk/

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Edinburgh eScience Exchange
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Vol 2 No 2, 2007 published http//www.ijdc.net/ij
dc/issue/current
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For discussion

• What are you currently doing to curate and
  preserve your data?
• What policies are in place?
• What types of data, formats and metadata are you
  dealing with?
• Where do you plan to store your data?
• Do you have a repository or content store?
• Do you have formal ingest processes?
• What specific challenges do you have?