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Digital | Curation | Centre Adding value to open access research data: reflections on the process of data curation Dr Liz Lyon, DCC Associate Director.

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Presentation on theme: "Digital | Curation | Centre Adding value to open access research data: reflections on the process of data curation Dr Liz Lyon, DCC Associate Director."— Presentation transcript:

1 Digital | Curation | Centre Adding value to open access research data: reflections on the process of data curation Dr Liz Lyon, DCC Associate Director Outreach Director, UKOLN, University of Bath, UK Funded by: This work is licensed under a Creative Commons License Attribution-ShareAlike 2.0Creative Commons License 3 rd European Conference on Research Infrastructures

2 Digital | Curation | Centre 2 For later use? In use now (and the future)? What is digital curation? Data preservationData curation StaticDynamic maintaining and adding value to a trusted body of digital information for current and future use

3 Digital | Curation | Centre 3 (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 This work is licensed under a Creative Commons License Attribution-ShareAlike 2.0Creative Commons License

4 Digital | Curation | Centre 4 (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

5 Digital | Curation | Centre 5 Curation issues 1: Data capture & integration into research workflows R4L Repository for the Laboratory Project (JISC- funded) automated data capture from instrumentation, deposit of results (chemistry) SMART TEA electronic Laboratory notebook + annotations

6 Digital | Curation | Centre 6 – Access Grid – Collaborative telematic art – Modify spaces for performers – Interplay: Hallucinations

7 Digital | Curation | Centre 7 Human discourse : supporting persistent conversations? MEMETIC Project JISC-funded Virtual Research Environments Programme Compendium software + Access Grid

8 Digital | Curation | Centre 8 (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

9 Digital | Curation | Centre 9 Learning & Teaching workflows Research & e-Science workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules Harvesting metadata Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media Resource discovery, linking, embedding Deposit / self- archiving Peer-reviewed publications: journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Resource discovery, linking, embedding Deposit / self- archiving Learning object creation, re-use Searching, harvesting, embedding Quality assurance bodies Validation Presentation services: subject, media-specific, data, commercial portals Resource discovery, linking, embedding The scholarly knowledge cycle. Liz Lyon, Ariadne, July This work is licensed under a Creative Commons License Attribution-ShareAlike 2.0Creative Commons License © Liz Lyon (UKOLN, University of Bath), 2005

10 Digital | Curation | Centre 10 Federated repository architectures & repository services fusion layer repository federator repository portal heterogeneous - metadata formats, content formats, identifiers, packaging standards homogeneous - metadata formats, content formats, identifiers, packaging standards From Andy Powell: Global Inter-disciplinary Cross-sectoral Multiple format types Data, eprints, images……. e-Framework: JISC & DEST Defining common services + domain-specific services

11 Digital | Curation | Centre 11 eBank UK Project Two key themes: –Open access to datasets –Linking research data to publications and to learning UKOLN, University of Southampton, University of Manchester e-Science application Combechem : Grid-enabled combinatorial chemistry + National Crystallography Service Resource Discovery Network / PSIgate physical sciences portal

12 Digital | Curation | Centre 12 A data repository entry

13 Digital | Curation | Centre 13 Access to the underlying data: complex objects ecrystals.chem.soton.ac.uk

14 Digital | Curation | Centre 14 Curation issues 2: describing data Validation, publication & discovery of data models & schema Managing complex objects Metadata packaging standards –METS –MPEG 21 DIDL Semantic descriptions –Formal controlled vocabularies –High-level and domain ontologies –Inter-disciplinary discovery Informal approaches Web 2.0 folksonomies

15 Digital | Curation | Centre 15 JISC PALS Dictate project Research data? Blogs & informal communications?

16 Digital | Curation | Centre 16 (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

17 Digital | Curation | Centre 17 Curation issues 3: 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, Uni Cambridge

18 Digital | Curation | Centre 18 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 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: /GFZ/ICDP/KTB/ktb- geoch-gaschr-p

19 Digital | Curation | Centre 19 (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

20 Digital | Curation | Centre 20 Adding value: eBank linking data to publications

21 Digital | Curation | Centre 21 Linking research to learning - embedding eBank aggregator service in a science portal for student learners

22 Digital | Curation | Centre 22 UK Digital Curation Centre Delivering services Development activities Research agenda Outreach Programme

23 Digital | Curation | Centre 23 Adding value through annotation DCC Research Agenda at the University of Edinburgh Databases: Annotation scoping report AstroDAS distributed annotation servers New annotation model + prototype: top-ranked demonstration at recent DB conference

24 Digital | Curation | Centre 24 (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

25 Digital | Curation | Centre 25

26 Digital | Curation | Centre 26 Curation issues 5: workforce development, capacity building & achieving cultural change DCC Outreach & Services: (legal - technical guidance) –Curation Manual –Workshops, Information Days –2 nd International Conference November 2006 NSF Report : Data scientist Develop hybrid skills Embed in u/g, p/g curriculum Facilitate collaboration: researchers, data centres, digital libraries & archives communities

27 Digital | Curation | Centre Thank you. Join the DCC Associates Network at


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