Notes

Outline

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Overview Some images of scholarship Perceptions from the past 23rd June: today “Native digital scholar” beyond 2010? Digital libraries and e-Research infrastructure Data creation and capture Data curation and preservation Data citation, discovery and use Adding value and Knowledge extraction A Case Study Roles & responsibilities: new challenges?

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Digital libraries & e-Research Infrastructure

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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?

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“JISC Vision”: a global landscape of federated repositories From Andy Powell: http://www.ukoln.ac.uk/distributed-systems/jisc-ie/arch/presentations/jiie-jcs-2005/

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

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?

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

Adding value: repository services

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A Case Study in Crystallography

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

"eBank UK Project" 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

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Access to the underlying data: complex objects

eBank Metadata Publication

Discovering data:

Adding value: eBank linking data to publications

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

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.

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Roles & responsibilities: new challenges?

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?

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

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.