Training in Data Curation as Service in aFederated Data Infrastructure - the

FrontOffice-BackOffice Model

Ingrid Dillo, Rene van Horik, and Andrea Scharnhorst

Outline

• The current institutional landscape of digital archives• DANS – history• DANS – services• DANS – current activities – some examples

• Workflows – Alliances – Organograms• Competence keeping and responsibility sharing• Front Office – Back Office model

• The element of professional education

• Outlook - questions

What is DANS?

Institute of The Royal

Netherlands Academy and the Research Funding

Organisation (KNAW & NWO)

since 2005

First predecessor dates back to

1964 (Steinmetz Foundation),

Historical Data Archive 1989

Mission: promote and provide

permanent access to digital research

information

Strategic plan 2011-2015

used to be: data for the social sciences and humanities

EASY: Electronic Archiving System for self-deposit

Looking into EASY

http://arxiv.org/abs/1204.3200

Today: 754,193 Publications 53,364 E-theses 27,526 Data sets 57,227 Research 49,510 People 2,922 Organisations 1,733 Enhanced Publications

Looking into NARCIShttps://www.researchgate.net/publication/236271460_NARCIS_Network_of_Expertise_and_Knowledge?ev=prf_pub

eResearch: DANS Lab

Exploring the Long Term Availability of Research DataDANS eResearch Programme 2012-2015

Andrea Scharnhorst, Peter Doorn, René van Horik, Dirk Roorda, Frank van der Most, Leen Breure, Albert Meroño Peñuela, Ashkan Askpour, Christophe Guéret, Marat Charlaganov, Cristian Dinu

Katy Börner, Herbert van de Sompel and Andrew Treloar (all visiting fellows)

The archivist as consultant

• Data seal for approval

• DARIAH

• International and national projects: EHRI, DwB, DASHISH, Ariadne, APARSEN, NEDIMAH, CLIO Infra

DANS = DATA ACHIVING AND NETWORKED SERVICES

Science and Technology dimension: R&DInformation service provider for research: Data acquisition + curationAdvisor for science policy stakeholders

And we are not the only one !

Organograms – Schemata I

OAIS

Organograms – Schemata II

Riding the Wave

E-S

cien

ce /

E-H

uman

ities

Research Gov’t. agencies

Private sector

University Libraries / data facilities

Research Infrastructures

NWO Domains

Acquisition, services, support, training, consultation

Data curation, management, archiving

Systems and infrastructure

SURF/SARA: Storage Cloud/Grid, processing, backup facilities

Research Gov’t. agencies

Private sector

}

}

Front office

Back office

E-Re

sear

ch

KNAW Humanities Centre

Data Providers Data Users

The collaborative data infrastructure – a framework for the future

Front office – Back office

Front office – Back office

National, multi-disciplinary opertaing information service

providers

University libraries, ministries (some), RIS (sometimes), research institutes

Front office – Back office

DataIntelligence4Librarians

Conclusions - Questions

• Books on Digital Preservation / Data Sharing – is this enough?• Do we need shared syllabuses? Audience?• Who trains whom? Libraries – digital literacy, Librarians as

Data Stewards • Where lies the institutional responsibility for research data

archiving – expriences from in other countries?• Research about data sharing and institutional consequences –

RECODE – see keynote Borgman – community specific – selection policies and layered archiving

• How can we keep professionalism and organize labor division at the same time?

• Lessons from the past: guidelines/standards pre internet/digital?

• Look at other network infrastructures – transport/energy/....

www.dans.knaw.nlwww.narcis.nl

Preprint: http://arxiv.org/abs/

1309.2788