1 Recording (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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3 Recording (e) Research | 18 Groningen U Twente Nijmegen Wageningen Utrecht Amsterdam Rotterdam Leiden Tilburg TU Eindhoven Maastricht Universities in the Netherlands TU Delft

4 Recording (e) Research | 18 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

5 Recording (e) Research | 18 Project BIG Grid 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.

6 Recording (e) Research | 18 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

7 Recording (e) Research | 18 SURFshare programme 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

8 Recording (e) Research | 18 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

9 Recording (e) Research | 18 Is there a choice? Who else could/ should take up this role?

10 Recording (e) Research | 18 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

11 Recording (e) Research | 18 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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13 Recording (e) Research | 18 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 Data and Service (ANDS) California Digital Library (CDL) and Purdue University will become members

IJDC 2009 Vol4 Iss2 Rusbridge/Donnelly

16 Recording (e) Research | 18 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)

17 Recording (e) Research | 18 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

18 Recording (e) Research | 18 Thank you!

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20 Recording (e) Research | 18 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 Data Check Data Entry Data Mgmnt Marketing & Sales Financial Transactions System Development & Mgmnt Viewer Development & Mgmnt Storage Helpdesk Technical Maintenance TransportDelivery Support &services Interface & Systems Content Direction Content Market Packaging Consumer Content Infra Structure Additional Services Source: Report EC/ Andersen Consulting, 1996

ContentImplementation Data creation/production Selection Conversion Add Metadata Check Data Check Metadata Data entry Data maintenance Additional Services Acquisition/Marketing & sales Data creator 3TU.Datacentre Data creator + 3TU.Datacentre Data creator 3TU.Datacentre Data creator + 3TU.Datacentre 3TU.Datacentre Infrastructure Financial transactions System development/management Viewer design/management Storage Helpdesk Technical maintenance All tasks 3TU.Datacentre or any 3 rd party Value chain 3TU.Datacentre