1. A centre of expertise in digital information management www.ukoln.ac.uk UKOLN is supported by: Digital libraries and digital scholarship: changing roles and responsibilities? Dr Liz Lyon Director, UKOLN SCONUL Conference, Newcastle, June 2006. This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

2. A centre of expertise in digital information management www.ukoln.ac.uk Overview 1.Some images of scholarship Perceptions from the past 23 rd June: today Native digital scholar beyond 2010? 2.Digital libraries and e-Research infrastructure Data creation and capture Data curation and preservation Data citation, discovery and use Adding value and Knowledge extraction 3.A Case Study 4.Roles & responsibilities: new challenges?

3. A centre of expertise in digital information management www.ukoln.ac.uk The scholar in AD 731 Folio 3v Codex Beda Petersburgiensis

4. Scholarship today? OA landscape

5. A centre of expertise in digital information management www.ukoln.ac.uk http://www.flickr.com/photos/97797311@N00/61648107/ 23 June 2006 Architecture of Participation?

6. A centre of expertise in digital information management www.ukoln.ac.uk e-Scientist desktop? Slide: Carole Goble

7. Data- centric 2020 vision Reference datasets as infrastructure?

8. Human discourse: supporting persistent conversations? MEMETIC Project JISC VRE Programme Compendium software + Access Grid http://www.anotherlanguage.org/interplay/packetcreek/ Performing Arts & Access Grid

9. A centre of expertise in digital information management www.ukoln.ac.uk New forms of publication: integration of data and journals

10. A centre of expertise in digital information management www.ukoln.ac.uk Digital libraries & e-Research Infrastructure

11. (Very simple) e-Research Cycle 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

12. Understanding the research process Core business process? Workflows? Project StORe: Source-to-Output Repositories (Edinburgh) –Primary data : research publications –Survey questionnaire RepoMMan: Repository Metadata and Management (Hull) –Survey questionnaire and interviews –Activity diagram and workflow How is primary research data captured in faculty and academic departments? Where and how is primary research data stored in your institution? What data is curated by data centres?

13. 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 2003. This work is licensed under a Creative Commons License Attribution-ShareAlike 2.0Creative Commons License © Liz Lyon (UKOLN, University of Bath), 2005

14. JISC Vision: a global landscape of federated repositories 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: http://www.ukoln.ac.uk/distributed-systems/jisc- ie/arch/presentations/jiie-jcs-2005/ Multi-disciplinary, cross- sectoral National, institutional Different platforms Many format types: data, eprints, images, geospatial e-Framework and Information Environment context Define common + domain- specific + repository services Interoperability based on open standards, software tools

15. Digital repositories, OA & preservation Long-term access: trust, responsibility, policy Trusted DR Audit Checklist for Certification Draft Research Libraries Group-NARA Taskforce 2005 Defined criteria under 4 categories –Organisation –Functions, processes & procedures –Designated community & usability –Technologies & technical infrastructure UK Digital Curation Centre: advice, tools & services RepInfo Registry EU CASPAR Integrated Project Task Force on the Permanent Access to the Records of Science http://www.dcc.ac.uk/ http://www.casparpreserves.info/pages/1/index.htm http://tfpa.kb.nl/

16. Data, metadata and discovery Validation, publication & discovery of data models & schema Metadata packaging standards –METS, MPEG 21 DIDL –Complex object model? Semantic descriptions –Formal high-level and domain ontologies –Inter-disciplinary discovery ePrints DC Application Profile UK Intute IR search service (eprints) Informal social network approaches folksonomies What data models and metadata schema are in place? Have librarians been involved in their development?

17. Persistent identifiers for data citation How will they be used? We need use cases: depositor, author, service provider, researcher, publisher? Schemes: DOI, Handle, ARK, PURL Publication & citation of scientific primary data project National Library for Science & Technology (TIB), University of Hanover, Germany. STD-DOI Project DOI registry for datasets http://www.std-doi.de What persistent identifiers have been assigned to your data? Is there a data citation policy? Was the Library involved?

18. Adding value: repository services Tools: for deposit, normalisation, manipulation, transformation….. Linking, annotation, visualisation Aggregators: generic, (sub-) disciplinary Knowledge extraction: Mining (data, text, structures) Modelling (economic, climate, mathematical, biological…) Analysis (statistical, lexical, gene….) Is your data OA? How is your data being used and re-used?

19. Avian flu outbreaks mashup - Nature January 2006 Data from FAO, WHO… +Google Earth

20. Nature 23 March 2006 OTMI: Open Text Mining Interface NaCTeM http://www.nactem.ac.uk/ Emerging tools: TerMine, GENIA, Cafetiere

21. A centre of expertise in digital information management www.ukoln.ac.uk A Case Study in Crystallography

22. A centre of expertise in digital information management www.ukoln.ac.uk Data capture

23. Deposit scenario (…part of….) 1.Produce strategy for synthesis (=idea) 2.Submit plan to SmartTea system (incl. identifiers) 3.Retrieve and follow instructions (sub-workflow?) 4.Experimental synthesis metadata automatically recorded on instruments (Smart Lab) 5.Create record for synthesised sample (+ proposed chemical identifier) in R4L laboratory data management system 6.Run spectral analyses on sample capturing further analysis metadata (incl. time-stamp, analysis software version, researcher details etc.) 7.Save spectrum in native and common formats 8.Invoke R4L data capture service and deposit files + metadata in laboratory repository… RAW DATADERIVED DATARESULTS DATA

24. A centre of expertise in digital information management www.ukoln.ac.uk eBank UK Project Promote open access crystallography data Aggregator service harvests OAI metadata from institutional data repository (e-Crystals archive) Service linking from data to derived research publication Embedding eBank service in learning workflows: pedagogy Future federation plans for crystallography data repositories UKOLN (lead), University of Southampton, University of Manchester http://www.ukoln.ac.uk/projects/ebank-uk/

25. A centre of expertise in digital information management www.ukoln.ac.uk A data repository entry ecrystals.chem.soton.ac.uk

26. Access to the underlying data: complex objects

27. eBank Metadata Publication Using simple Dublin Core Crystal structure Title (Systematic IUPAC Name) Authors Affiliation Creation Date Additional chemical information through Qualified Dublin Core Empirical formula International Chemical Identifier InChI Compound Class & Keywords Specifies which datasets are present in an entry Application Profile DOIs from TIB http://dx.doi.org/10.1594/ecrystals.chem.soton.ac.uk/145 Data citation policy http://ecrystals.chem.soton.ac.uk/rights.html http://www.ukoln.ac.uk/projects/ebank-uk/schemas/

28. Discovering data: Coles, S.J., Day, N.E., Murray-Rust, P., Rzepa, H.S., Zhang, Y., Org. Biomol. Chem., 2005, (10),1832-1834. DOI: 10.1039/b502828k Domain identifier: International Chemical Identifier (INChI) code Google molecule using INChI Slide from Simon Coles

29. Adding value: eBank linking data to publications

30. Linking research to learning - embedding eBank aggregator service in a science portal for student learners

31. Integration into the curriculum and e-Learning workflows MChem course Assess role in Undergraduate Chemical Informatics courses Pedagogic evaluation April – June 2006 Report to follow.

32. e-Research workflows Aggregator services Institutional data repositories Data curation & preservation: databases & databanks Validation Harvest Data creation & capture in Smart lab Deposit Publishers: peer-review journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Search, harvest Presentation services: portals Data discovery, linking, citation Linking, citation Laboratory repository Deposit (Chemistry Central) e-Crystals Federation model This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

33. A centre of expertise in digital information management www.ukoln.ac.uk Roles & responsibilities: new challenges?

34. Workforce development and capacity building NSF Draft Report 2005 Data scientist - hybrid skills Facilitate collaboration –Multidisciplinary teams: computer scientists, domain scientists, digital library experts, statisticians/modellers e.g. eBank project –Lessons learnt: e-Science Human Factors Audit Report (to be published 2006) Roy Kawalsky, Loughborough CURL/SCONUL e-Research Taskforce Has your (digital) library engaged with the e-Research agenda?

35. Supporting the native digital scholar Develop leadership & vision for eResearch engagement and infrastructure development Provide (e-)Services for data –We do eLearning so why not eResearch? –Include in institutional digital asset management plans Review organisational structures –Extend & re-profile the Faculty/Subject/Reference Librarian role –Collaborate closely with Computing Services and Depts Promote professional development of staff –Raise awareness, acquire new skills –Build multidisciplinary teams, explore emergent roles Respond to the challenge...The Future is NOW

36. A centre of expertise in digital information management www.ukoln.ac.uk Thank you. UKOLN receives core funding from the Joint Information Systems Committee (JISC) and the Museums, Libraries & Archives Council (MLA) and is based at the University of Bath, UK.