ukoln is supported by: digital libraries and e-research: new horizons, new challenges? dr liz lyon,...

UKOLN is supported by:

Digital Libraries and e-Research: new horizons, new challenges?

Dr Liz Lyon, DirectorUKOLN, University of Bath, UK

8th International Bielefeld Conference

February 2006.

www.bath.ac.uk

a centre of expertise in digital information management

www.ukoln.ac.uk

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Overview

1. Data-intensive science - contextual drivers• Scientific: e-Research process• Socio-political: open access to data-sets• Technical: data curation and repository infrastructure

2. An update and exemplars from the UK

3. Some issues for libraries• Engagement and advocacy• Skills and expertise• Strategic position and profile

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(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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(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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Engineering Product Information

EPSRC Grand Challenge Project, Prof Chris McMahon, University of Bath

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– Access Grid – Collaborative telematic art– Modify spaces for performers – Interplay: Hallucinations

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Library 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• How is primary research data captured in faculty and

academic departments?• Where and how is primary research data stored in your

institution?

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(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 LicenseAttribution-ShareAlike 2.0

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Digital repositories: a UK view in 2006

• Institutional repository trends D-Lib Magazine Sept 2005– Statistics: UK 31, (Germany 103, Sweden 25)– Policy: UK RCUK draft, (Germany YES), – National programmes: UK YES (Germany Sweden Netherlands)

• Pioneering work: eprints.org, ePrints UK, eBank UK……• University of Southampton has a Self-Archiving Policy and a

mandate rather than a recommendation• OpenDOAR Directory of Open Access repositories: Univ

Nottingham and Lund

• JISC £4M Digital Repository Programme + support : use cases, reference models, standards, deposit APIs, DigiRep wiki

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Federated repository architectures

fusion layer ‘repository federator’

repository repository repository repository repository

portal portal portal portal portal

heterogeneous - metadataformats, content formats,identifiers, packagingstandards

homogeneous - metadataformats, content formats,identifiers, packagingstandards

From Andy Powell: http://www.ukoln.ac.uk/distributed-systems/jisc-ie/arch/presentations/jiie-jcs-2005/

• Global

• Inter-disciplinary

• Cross-sectoral

• Multiple format types

• Data, eprints, images…….

• e-Framework: JISC & DEST

• Defining common services + domain-specific services + repository services

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Trusted digital repositories• Audit Checklist for Certification Draft August 2005• Research Libraries Group RLG-NARA Taskforce • Defined criteria under 4 categories

– Organisation– Functions, processes & procedures– Designated community & usability– Technologies & technical infrastructure

• UK Digital Curation Centre– Providing advice, tools and support services – 2nd DCC International Conference Glasgow November 21-22

http://www.dcc.ac.uk/

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Open access driver?

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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

Harvestingmetadata

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.

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© Liz Lyon (UKOLN, University of Bath), 2005

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eBank UK Project• Two key themes:

– Open access to datasets

– Linking research data to publications and to learning

• UKOLN (lead), University of Southampton, University of Manchester• Hybrid team: scientists, computer scientists and digital library specialists• e-Science application ‘Combechem’ : Grid-enabled combinatorial chemistry

+ National Crystallography Service

http://www.ukoln.ac.uk/projects/ebank-uk/

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A data repository entry ecrystals.chem.soton.ac.uk

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Access to the underlying data: complex objects

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Library issues 2: data descriptions• Validation, publication & discovery of

data models & schema• Complex objects metadata packaging

standards– METS– MPEG 21 DIDL

• Semantic descriptions– Formal controlled vocabularies– High-level and domain ontologies– Inter-disciplinary discovery

• Informal / social approaches Web 2.0 “folksonomies”

• eBank Application Profile publication• What data models and metadata

schema are in place?• Have librarians been involved in

their development?

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(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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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 INChISlide from Simon Coles

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Library issues 3: Persistent identifiers for data citation

• How will they be used? We need use cases: depositor, author, service provider, reader, 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 http://www.std-doi.de – DOI registry for datasets

• eBank is working with TIB to assign DOIs to crystal structure data

• What persistent identifiers have been assigned to your data?

• Was the Library involved in the process?

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(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 LicenseAttribution-ShareAlike 2.0

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Adding value: eBank linking data to

publications

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

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Integration into the curriculum and e-Learning workflows

• MChem course • Assess role in

Undergraduate Chemical Informatics courses

• Pedagogic evaluation• February – May 2006• Report & workshop to

follow.

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(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 LicenseAttribution-ShareAlike 2.0

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Library issues 4: Adding value and repository services

• Adding value

- Linking, annotation, visualisation

• Repository services for knowledge extraction

- Mining (data, text, structures)

- Modelling (economic, climate, mathematical, biological)

- Analysis (statistical, lexical, pattern matching, gene)

• How is your data being used and re-used?

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Library issues 5: workforce development and capacity building

• NSF Draft Report 2005 Long-lived digital data collections

• “Data scientist” - hybrid skills • Facilitate collaboration:

researchers, data centres, digital libraries & archives communities

• How does your Library shape up?

• SWOT analysis

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STRENGTHS

Scholarly communications role

Links with academic community

Content / collection management / stewardship practice

Cataloguing, classification & metadata expertise

(e)-Service delivery function

WEAKNESSES

Historic “document tradition”

Synergies between physical & digital worlds are still evolving

Shortage of technical skills

Cautious approach to innovation

Vision? (“its not our problem….”)

THREATS

Paradigm shift in research will out-pace change in libraries

Researchers will (only?) use on-demand e-Services

Libraries may lose their role in scholarly communications and eResearch workflows

OPPORTUNITIES

Build on ePrints work & eLearning experience

Exploit links with researchers - they need your skills

Seek funding to engage in innovative projects & services

Develop local, regional, national, global partnerships

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Libraries: Facing the future?

• Develop leadership & vision for eResearch engagement• Review organisational structures

– Extend & re-profile the Faculty/Subject/Reference Librarian role? – Closer collaboration with Computing Services?

• Provide eServices for data– We “do” eLearning so why not eResearch?– Include in institutional digital asset management

• Promote professional development of staff– Awareness-raising activities, new skills– Greater engagement, hybrid roles and hybrid teams

• Build new partnerships, new business models • Facilitate Transformational Change in Libraries

Thank you.Questions?…..

More information: UKOLN http://www.ukoln.ac.uk/

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.