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Training in Data Curation as Service in a
Federated 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), Hist
orical 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 NARCIS
https://www.researchgate.net/publication/236271460_
NARCIS_Network_of_Expertise_and_Knowledge?ev=prf
_pub
eResearch: DANS Lab
Exploring the Long Term Availability
of Research Data
DANS 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&D
Information service provider for research: Data acquisition
+ curation
Advisor for science policy stakeholders
And we are not the only one !
Organograms – Schemata I
OAIS
Organograms – Schemata II
Riding the Wave
E-Science/E-Humanities
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-Research
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.nl
www.narcis.nl
Preprint:
http://arxiv.org/ab
s/1309.2788

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Training in Data Curation as Service in a Federated Data Infrastructure - the FrontOffice-BackOffice Model

  • 1. Training in Data Curation as Service in a Federated Data Infrastructure - the FrontOffice-BackOffice Model Ingrid Dillo, Rene van Horik, and Andrea Scharnhorst
  • 2. 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
  • 3. 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), Hist orical 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
  • 6. 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
  • 8. eResearch: DANS Lab Exploring the Long Term Availability of Research Data DANS 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)
  • 9. The archivist as consultant • Data seal for approval • DARIAH • International and national projects: EHRI, DwB, DASHISH, Ariadne, APARSEN, NEDIMAH, CLIO Infra
  • 10. DANS = DATA ACHIVING AND NETWORKED SERVICES Science and Technology dimension: R&D Information service provider for research: Data acquisition + curation Advisor for science policy stakeholders And we are not the only one !
  • 12. Organograms – Schemata II Riding the Wave
  • 13. E-Science/E-Humanities 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-Research Data Providers Data Users The collaborative data infrastructure – a framework for the future
  • 14. Front office – Back office
  • 15. Front office – Back office National, multi- disciplinary opertaing information service providers University libraries, ministries (some), RIS (sometimes), research institutes
  • 16. Front office – Back office
  • 18. 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/....