training in data curation as service in afederated data infrastructure - thefrontoffice-backoffice...
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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