1. Liz Lyon Associate Director, Outreach Chris Rusbridge, DCC Director UK Digital Curation Centre One Year On Digital Curation Centre a centre of support for data curation and preservation

2. 2 Overview Why is digital curation important? What are the challenges that the DCC faces? About the people and our collaborative approach Addressing the issues How can you contribute to the DCC?

3. 3 Curation? maintaining and adding value to a trusted body of digital information for current and future use

4. 4 For later use? In use now (and the future)? Digital curation continuum Data preservationData curation StaticDynamic

5. 5 Assuring permanent access to the records of science & the humanities? Long term access to primary data Increasing data volumes from eScience and Grid-enabled / cyberinfrastructure applications Changing research paradigm: data-driven science, big science Observational data, simulations, large-scale experimentation Multi-media resources, statistical data, surveys, geo-spatial data……

6. 6

7. 7 Facilitate post-processing and knowledge extraction Enable the acquisition of newly-derived information and knowledge Run complex algorithms over primary datasets Mining (data, text, structures) Modelling (economic, climate, mathematical, biological) Analysis (statistical, lexical, pattern matching, gene) Presentation (visualisation, rendering)

8. 8

9. 9 Provide additional functionality beyond digital preservation processes Annotations Gene and protein sequences e-Lab books (Smart Tea Project in chemistry)

10. 10 Research & e-Science workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Data curation: databases & databanks Validation Harvesting metadata Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media Deposit / self- archiving Peer-reviewed publications: journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Searching, harvesting, embedding Presentation services: subject, media-specific, data, commercial portals Resource discovery, linking, embedding Linking The scholarly knowledge cycle : linking research data to publications eBank UK Project http://www.ukoln.ac.uk/projects/ebank-uk/ Emerging policy on open access to data

11. 11 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 [ERPANET], University of Glasgow) Development –Led by Dr David Giaretta (Astronomical Software & Services, CCLRC) Research –Led by Professor Peter Buneman (Informatics, University of Edinburgh)

12. 12 The challenges we face Standards Interoperability issues: technical & hopefully soluble Scale Volume and diversity of datasets Culture Bringing communities together Library/information science/archives document tradition Domain research (chemists, astronomers, biologists) Computer science (databases) Commercial suppliers (storage technology)

13. 13 More challenges…… Process Highly-distributed organisation: use collaborative tools Skills Distributed amongst the 4 partners & beyond Engagement Lots of existing work and many significant players Impact Visible & measurable, in the short & long-term Meeting expectations (which are high…..) Of the community and our funders

14. 14 User requirements analysis Commissioned study Leona Carpenter Reporting now Desk-based research Focus groups Interviews Results will inform research, development service definition / delivery and outreach Recommendations and priority tasks

15. 15 Some sound bytes… R&D issues: Annotation services, Ontology development, Automating metadata creation, Tools and toolkits, Data Format Description Language, Identifiers, Registries, Economic and cost-benefits studies Advisory services :Ask-a-Curator,FAQs, reports, briefings, awareness-raising materials, best practice guidance, Storage media, Like Erpanet, advise Government, Research Councils, funding bodies Professional development: Short courses, conferences, seminars, workshops, secondments to DCC and to working repository services Outreach: Leadership for the future, case studies, sharing solutions, collaboration with other partners, international peers, industry links Taxonomy of Users

16. 16 Outline Taxonomy of digital curation users by role 1. Data Creators 2. Data Curators 3. Data Re-users 4. Policy makers -funding bodies -other leaders

17. 17 Outline Taxonomy of digital curation users by role 1. Data Creators 2. Data Curators 3. Data Re-users 4. Policy makers -funding bodies -other leaders Data Preservers Data publishers

18. 18 Outline Taxonomy by significant function of organisational entity 1.Research 2. Service provision 3. Learning & teaching 4. Funders 5. Policy / strategy makers Designated communities

19. 19 Outline Taxonomy by significant function of organisational entity 1.Research 2. Service provision 3. Learning & teaching 4. Funders 5. Policy / strategy makers Designated communities Commercial

20. 20 Service definition & delivery Advisory services –Responses to queriesfrom legal to technical guidance HELPDESK@dcc.ac.uk –Site visits (National Institute of Environmental eScience) Information Services –Briefing Documents - Freedom of Information by Mags McGinley –DIGITAL CURATION MANUAL –20 chapters written by community experts e.g. Metadata written by Michael Day, UKOLN –Peer-reviewed –Checklist for Compliance with best practices and standards –Technology Watch

21. 21 Services: workshops 2005 Programme –Preservation of medical databases: 24-25 May at the Gulbenkian Institute, Lisbon in collaboration with ERPANET & the Wellcome Trust –Institutional repositories: 6 July at the University of Cambridge, UK in collaboration with DSpace –Cost models in collaboration with the Digital Preservation Coalition July at British Library –Persistent identifiers liaising with NISO, summer, UK location tbc

22. 22 Development approach OAIS (Open Archival Information System) linkage: focus on representation information –link to global work on format registries? –Concentrate on scientific data formats? Repository –Representation Information –Standards and Tools –Aim for OAIS compliance Persistent identifiers Certification… RLG task force Open development wiki and email list

23. 23 OAIS Reference Model – Functional Model How relevant to curation?

24. 24 Representation Net

25. 25 Representation Information More detail How does this relate to format registries?

26. 26 High Level View Example of use of Representation Information Labelling

27. 27 Registry issues? Trusted repository of Representation Information –Authenticity of information –Access control –Certificates/Digests : (are they trustable over the long term?) Findability –Persistent IDs What can we rely on? –Labels (to support automated processing) Extensibility Distributed

28. 28 Registry development Simple PHP prototype Scoping study- unification –Formats, standards, tools More robust prototype in development –Based on ebXML & JAXR –Potentially distributed, cooperative maintenance model

29. 29 Development Roadmap Registry: complete prototype, link to PRONOM, GDFR etc, handover to service Representation information: describe CCLRC (science) data using EAST, etc Certification work continues Additional tools: metadata extraction Testbeds, interactions with others

30. 30 Research approaches 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

31. 31 The database picture Source data Curated data: classified, cleaned, annotated, integrated, cross-linked

32. 32 Curated Databases are Central Much/most scientific data is now in databases They often do not contain source experimental data. Sometimes just annotation/metadata They borrow extensively from, and refer to, other databases You are now judged by your data as well as your (paper) publications!! These databases are built and maintained with a great deal of human or computational effort. What makes a database? –it has internal structure or it changes. Size alone doesnt qualify

33. 33 Archiving (preserving) volatile databases How do you preserve something that changes every hour or minute? –Important for the scientific record – someone might have cited your data at time t. Current practice –Create versions (how often?) –Log changes –Use diffs –Do nothing (common!)

34. 34 Curated databases – some issues Integrating and publishing data so that someone else can use it. Annotating existing data and moving annotations to other databases Provenance: where did this data come from? Archiving: how do you preserve something that is constantly changing?

35. 35 How do we cite data? A URL or citation to an article is already unsatisfactory. –DCC client complaint: I spend a lot of time searching [electronic documents] for the part that is relevant to the citation. The problem is much worse when you are citing something in a very large database. How do you use a citation to locate data? How do you ensure that the citation persists? – Connections with DB archiving and DOIs

36. 36 Research approaches 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

37. 37 www.dcc.ac.uk

38. 38 www.ijdc.net Launch planned June/July Peer-reviewed contributions Peter Buneman Editor (research) Production editor Philip Hunter

39. 39 Sample issue Full papers Invited articles News & views Papers for submission are very welcome!

40. 40 1 st DCC International Conference Location - Bath UK 29-30 September 2005 Keynote speakers Cliff Lynch CNI Graham Cameron European Bio-informatics Institute DCC Research update Social highlights

41. 41 Associates Network Goals Develop understanding, share best practice, advance research, promote recognition, develop consensus Membership International groups, national bodies, industry partners, funders, research groups, HEIs, FEIs, individuals…… Benefits Early access to R&D outputs, advisory services, training, input to definition and design, community participation Discussion Forum www.dcc.ac.uk Please join us!

42. 42 CCLRCUKOLN UofGUofE CMS-Bristol NIEeS RG Durham WT-CFG Leicester IC Maastricht Oxford Dutch NA Swiss NA Urbino UNC Salzburg SDSC NEODC CEH RI NCS RLG Innogen NHS Capri NTUA INRIA HUJ UPC Max- Planck MIMAS IASSIST LDC ACM Data Archive EDG GridPP EGEE Cambridge Leicester Jodrell Bank DLI (US) DPC DELOS UNC ESA NASA NARA CNES ESA RLG BNSC TU Vienna UPenn EBI MRC HGU Kyoto USC INRIA GSK Roslin IBM Almaden JHU CSIRO Caltech JHU CSIRO CDS ESO OCLC AHDS Microsoft IBM Oracle BT STK BADC BODC ESO IVOA Research Councils HEIs & FE Research Institutes International Collaborations Standards Bodies DPC MIMAS ILRT Council for Museums, Archives & Libraries RDN. OCLC Soton OAI NOF NLA NeSC

43. Acknowledgements Slides from Peter Buneman, David Giaretta and others used with thanks.

44. 44 How you can help us How does OAIS relate to curation? How do format registries relate to representation information? Who else is working across these areas? What outcomes would you like to see?