1 recording (e) research | 18 recording (e)research a role for academic / research libraries!? maria...
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1Recording (e) Research | 18
Recording (e)Research
A role for academic / research libraries!?
Maria Heijne
16 November 2009
IATUL Seminar Hong Kong
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Groningen
U Twente
Nijmegen
Wageningen
Utrecht
Amsterdam
Rotterdam
Leiden
Tilburg
TU Eindhoven
Maastricht
Universities in the Netherlands
TU Delft
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What can you expect?
• The academic environment: e-science as the driver• Some Dutch developments
• The role of the library in e-science: is there a choice?
• 3TU.Datacentre in Delft as an example
• Conclusions
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Project BIG Grid 2005-2009
BIG Grid
• Aim: set up an e-science infrastructure based on the national Grid (SURFnet)
• This e-Science Grid will enlarge the existing storage and data processing capacity that is required for storage, access, archiving, linking and exchange of growing streams of data.
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Future ICT infrastructure for scientific research in the Netherlands
• Establishment of an e-science Research center (e-SRC) supporting innovations of ICT infrastructure and applications for science
• All ICT Infrastructure for science developments and operations under one umbrella: SURF Foundation
• Follow up of Big Grid project
• Aim is a key position in pan-European ICT infrastructure for collaborative scientific research
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SURFshare programme 2008-2011
Projects based on tenders by researchers in close collaboration with libraries
Themes• Innovation of the scientific publication cycle, including
‘enhanced publications’ and new models of peer review• Collaboratories : virtual research groups that allow
researchers to collaborate and share their sources• Quality assessment, dissemination and impact
measurements within an open access environment• Registration of research data and facilities for sustainable
accessibility of data
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E-science/ E-research as ‘the’ driver for new (library) services
• E-science will lead to different methods of knowledge exchange • Science becomes more data driven• Access to large data collections /large scale computing
resources should be facilitated
• Through publication, visualization, data exchange…
• Leading to new services • for peer review and access to knowledge• knowledge ‘exploitation’ • data management, data retrieval, datamining• ensure data quality
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Why should libraries take up this role?
• Core business in information/data management• Storage, preservation, metadata creation,
access• Reuse of data/information
• Experience in teaching enhanced academic skills
• Active (new) role in pro active support of knowledge/research management
• Methods to organise and maintain links• Publication – data• Data - scientific workflow
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Expert opinions• Liz Lyon (UKOLN): Librarians will become data consultants,
data service providers, data analysts, data miners, data curators• Enforce data quality• Support data retrieval• Construct data applications• Ensure data collections are properly annotated and preserved
• Clifford Lynch (CNI): build up skills in new areas of expertise for data curation• Reuse of data• Data management skills• Values and policies
• James Mullins (Purdue University/ NSF Task Force)• Librarian can bridge the gap between researchers
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Activities 3TU.Datacentre
• Exploitation of a ‘data-archive’ to facilitate preservation of ‘static’ data of data producers (starting with the 3 Dutch technical universities);
• Advise data producers (how) to preserve ‘dynamic’ data in a collaboratory environment for access and publication (‘data-lab’)
• Provide easy access to data consumers
• Knowledge development/sharing and collaboration with Dutch partners (DANS,KB, Netherlands Coalition Digital Preservation)
• Collaboration DOI agency – originally European DOI infrastructure with TIB Hannover, ETH Zurich, INIST, TIC Copenhagen, but quickly changing in World wide coverage
Paris, March 2009
Actual status:
Australian National Dataand Service (ANDS)California Digital Library (CDL)andPurdue Universitywill become members
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Skills 3TU.Datacentre
• Data creator / data scientist• Researcher• PhD’s• Students
• 3TU.Datacentre : data manager/ data librarian/ data scientist• Library/Information specialists (metadata/quality checks)• Library Account managers (advocacy/awareness/negotiation)• Library/ICT specialists (technical environment/data
management)• ICT developers (viewers/user interfaces)
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Conclusions
• Is there a choice for research libraries?• In the e-science environment data become a valuable asset
to the institution - the researcher is the driving force• The library should claim and prove its role in ‘Data
management’, in close collaboration with parties for maintaining infrastructure and (technical) development
Important areas for the near future:• Awareness, Awareness, Awareness• Business model for economic viability of data curation• Training of ‘data’ skills for all parties involved
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Preconditions• Organisation
• incentives for research• (inter) national co-operation• standardisation• long term management commitment • development of competencies
• Production• infrastructure for the digital archive• quality control• use/reuse requires direct involvement of data creator/researcher
• Technology• research on preservation strategies and their implementation• viewer design/user interface is crucial
• Business• data are a valuable asset > knowledge ‘valorisation’ • business model for economic viability of a digital archive• open access to data as a preference
Value chain for data storage and publication
Data Production Selection Add
Meta DataCheck Data Entry Data
Mgmnt
Marketing & Sales
FinancialTransactions
SystemDevelopment& Mgmnt
ViewerDevelopment& Mgmnt
Storage HelpdeskTechnicalMaintenance
Transport Delivery Support &services Interface & Systems
Content Direction Content Market Packaging
ConsumerCont
ent
Infr
aSt
ruct
ure
Additional Services
Source: Report EC/ Andersen Consulting, 1996
Content Implementation
Data creation/production SelectionConversionAdd MetadataCheck DataCheck MetadataData entryData maintenance Additional ServicesAcquisition/Marketing & sales
Data creator Data creator3TU.DatacentreData creator + 3TU.DatacentreData creator + 3TU.DatacentreData creator + 3TU.DatacentreData creator3TU.DatacentreData creator + 3TU.Datacentre 3TU.Datacentre
Infrastructure Financial transactionsSystem development/managementViewer design/managementStorageHelpdeskTechnical maintenance
All tasks 3TU.Datacentreor any 3rd party
Value chain 3TU.Datacentre