Digital | Curation | Centre An Introduction to the UK Digital Curation Centre Dr Liz Lyon, DCC Associate Director Outreach Director, UKOLN, University of Bath, UK Funded by: This work is licensed under a Creative Commons Licenc Attribution-ShareAlike 2. CURL/SCONUL Workshop December 2005
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Digital | Curation | Centre An Introduction to the UK Digital Curation Centre Dr Liz Lyon, DCC Associate Director Outreach Director, UKOLN, University.
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Digital | Curation | Centre
An Introduction to the UK Digital Curation Centre
Dr Liz Lyon,
DCC Associate Director Outreach Director, UKOLN, University of Bath, UK
Funded by:
This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0
CURL/SCONUL Workshop
December 2005
2
Digital | Curation | Centre
Overview
• About the Digital Curation Centre– Organisation and structure
• What is digital curation?– e-Research cycle
• DCC activities– Development activity– Research agenda– Advisory services – Outreach programme
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Digital | Curation | Centre
UK Digital Curation Centre
• Development activities
• Research agenda
• Delivering services
• Outreach Programme
• http://www.dcc.ac.uk/
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Digital | Curation | Centre
DCC people (some of them…)
• Management & Co-ordination– Director Chris Rusbridge (University of Edinburgh)
• Community Support & Outreach– Led by Dr Liz Lyon (UKOLN, University of Bath)
• Service Definition & Delivery– Led by Professor Seamus Ross (HATII, University of Glasgow)
• Development– Led by Dr David Giaretta (Astronomical Software & Services, CCLRC)
• Research– Led by Professor Peter Buneman (University of Edinburgh)
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Digital | Curation | Centre
For later use? In use now (and the future)?
What is digital curation?
Data preservation Data curation
Static Dynamic
“maintaining and adding value to a trusted body of digital information for current and future use”
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Digital | Curation | Centre
(Very simple) e-Research Cycle and Data Curation
Formulate hypothesis / ideas, test, experiment, observe: data creation,
collection & capture
Adding value: Data linking, annotation,
visualisation, simulation
(New) knowledge extraction: data mining, modelling, analysis, synthesis
e-Infrastructure
Open access
Collaboration
Scholarly communications: data disclosure, publication, citation, discovery, re-use
Data management storage & validation: description, deposit,
self-archiving, preservation,
certification
Data processing
Data processingData processing
Data processing
Data processing
This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0
7
Digital | Curation | Centre
(Very simple) e-Research Cycle and Data Curation
Formulate hypothesis / ideas, test, experiment, observe: data creation,
collection & capture
Adding value: Data linking, annotation,
visualisation, simulation
(New) knowledge extraction: data mining, modelling, analysis, synthesis
e-Infrastructure
Open access
Collaboration
Scholarly communications: data disclosure, publication, citation, discovery, re-use
Data management storage & validation: description, deposit,
self-archiving, preservation,
certification
Data processing
Data processingData processing
Data processing
Data processing
8
Digital | Curation | Centre
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Digital | Curation | Centre
Engineering Product Information
EPSRC Grand Challenge Project, Prof Chris McMahon, University of Bath
• “DCC Approach to Digital Curation” based on the Reference Model for an Open Archival Information System (OAIS); ISO standard, 14721:
– Monitoring international standards– Development of a Representation Information
(RI) registry/repository (DCC-RR)– Recommendations for tools and methods for
generating Representation Information– Creating test-beds for digital curation tools
Development info – see
http://dev.dcc.ac.uk
for details of Wiki and email list open to all
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Digital | Curation | Centre
(Very simple) e-Research Cycle and Data Curation
Formulate hypothesis / ideas, test, experiment, observe: data creation,
collection & capture
Adding value: Data linking, annotation,
visualisation, simulation
(New) knowledge extraction: data mining, modelling, analysis, synthesis
e-Infrastructure
Open access
Collaboration
Scholarly communications: data disclosure, publication, citation, discovery, re-use
Data management storage & validation: description, deposit,
self-archiving, preservation,
certification
Data processing
Data processingData processing
Data processing
Data processing
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Digital | Curation | Centre
Persistent identifiers for data citation
• Identify use cases: depositor, author, service provider, reader, publisher, ?
• Schemes: DOI, Handle, ARK, PURL• Global identification: express as http URIs• Added value services: CrossRef, resolution service,
integration (Globus), look-up service• Domain identifiers: e.g. International Chemical Identifier
(INChI) codes• Google molecules using InChIs demo:
Peter Murray-Rust, University of Cambridge• DCC Workshop June 2005 Glasgow
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Digital | Curation | Centre
One approach to data citation using DOIs
• Publication & citation of scientific primary data project National Library for Science & Technology (TIB), University of Hanover, Germany STD-DOI Project http://www.std-doi.de
• DOI registry for datasets• Data publication agents: World Data Center Climate,
GeoForschungsZentrum Potsdam • Data requirements: quality control, long-term curation,
use DOI resolver• Exemplar data citation:
– Kamm, H; Machon, L; Donner, S (2004): Gas chromatography (KTB Field Lab), GFZ Potsdam. doi:10.1594/GFZ/ICDP/KTB/ktb-geoch-gaschr-p
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Digital | Curation | Centre
(Very simple) e-Research Cycle and Data Curation
Formulate hypothesis / ideas, test, experiment, observe: data creation,
collection & capture
Adding value: Data linking, annotation,
visualisation, simulation
(New) knowledge extraction: data mining, modelling, analysis, synthesis
e-Infrastructure
Open access
Collaboration
Scholarly communications: data disclosure, publication, citation, discovery, re-use
Data management storage & validation: description, deposit,
self-archiving, preservation,
certification
Data processing
Data processingData processing
Data processing
Data processing
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Digital | Curation | Centre
Adding value: eBank linking data to publications
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Digital | Curation | Centre
Linking research to learning - embedding eBank aggregator service in a science portal for student learners
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Digital | Curation | Centre
Adding value through annotation
DCC Research at the University of Edinburgh
• Scientific databases: Annotation scoping report
• AstroDAS: distributed annotation servers in astronomy
• New annotation model + prototype: top-ranked demonstration at recent DB conference
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Digital | Curation | Centre
DCC Research agenda
• Publishing & integrating scientific databases• ‘Archiving’ past states of volatile databases• Database provenance and annotation• Organisational dynamics of trusted
repositories• Automating metadata extraction• Cost-benefit analysis of data curation• Rights and responsibilities
– “Public domain, public interest, public funding” paper Waelde & McGinley
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Digital | Curation | Centre
(Very simple) e-Research Cycle and Data Curation
Formulate hypothesis / ideas, test, experiment, observe: data creation,
collection & capture
Adding value: Data linking, annotation,
visualisation, simulation
(New) knowledge extraction: data mining, modelling, analysis, synthesis
e-Infrastructure
Open access
Collaboration
Scholarly communications: data disclosure, publication, citation, discovery, re-use
Data management storage & validation: description, deposit,
self-archiving, preservation,
certification
Data processing
Data processingData processing
Data processing
Data processing
31
Digital | Curation | Centre
Facilitate “post-processing” and knowledge extraction
Enable the acquisition of newly-derived information and knowledge