data archiving and networked services
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Data Archiving and Networked Services. The Front Office-Back Office model: supporting research data management in the Netherlands Ingrid Dillo, DANS (Data Archiving and Networked Services) Conference Strengthening the Baltic-Nordic research collaboration, Tartu 23 May 2014. - PowerPoint PPT PresentationTRANSCRIPT
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DANS is een instituut van KNAW en NWO
Data Archiving and Networked ServicesData Archiving and Networked Services
The Front Office-Back Office model: supporting research data management in the Netherlands
Ingrid Dillo, DANS (Data Archiving and Networked Services)
Conference Strengthening the Baltic-Nordic research collaboration, Tartu 23 May 2014
DANS is een instituut van KNAW en NWO
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The Dutch case as best practice?
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What is DANS?
Institute of the Royal
Netherlands Academy and
Research Funding Organisation
(KNAW & NWO) since 2005
First predecessor dates back to
1964 (Steinmetz Foundation),
Historical Data Archive 1989Mission: promote
and provide permanent access to digital research
information
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EASY: Electronic Archiving System
NARCIS: Gateway to scholarly information In the Netherlands
Data Seal of Approval
Dutch Dataverse Network
DANS services
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‘Who’ is DANS?
About 50 employees: IT-specialists, archivists, information experts, policy makers and communication advisors
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Data is hot!
• Riding the Wave report: critical importance of sharing and preserving reliable data produced during the scientific process
• Executive Order President Obama: Making Open and Machine Readable the New Default for Government Information (data)
• EU Commissioner Neelie Kroes: “Data is the new gold”
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Proliferation of dataTrend of data sharing/open data policies;
recognition of the value of data; funder requirements
Advantages:• Transparency and replication
of research• Re-use of data
Challenges:• data management• preservation and access
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RDM: research data life cycle
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RDM: what to address in a DMP?
Costs
Rights
Version control
Interoperability
Confidentiality/ Ethics
Metadata + documentation to be delivered
Data management
approach
Storage+ archiving
File formats
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Preservation and access
• Local storage facilities during the research
• Network of trusted digital repositories for long-term preservation after the research is finished
• Certification of TDRs in order to establish trust
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Data Users
Basic Technical Infrastructure:SURFsara, Target, …
Back Offices:DANS, 3TU.Datacentrum, …
The federated data infrastructure:a collaborative framework
Data Generators
Front offices: •Local Data Facilities (University Libraries)•Domain-Specific Research Infrastructures
Community Support Services
Common Data Services:
Archiving, Access, …
User functions: data capture and transfer
Common Data Services: Storage,
Backups, …
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FO-BO Institutions
• Front offices– Universities (libraries, local data centers)– Disciplinary research infrastructures (ESFRI/NL-National
Roadmap)
• Back offices– DANS (humanities, social sciences)– 3TU.Datacentrum (technical sciences)– …SURFsara (big data)
-> Trusted digital repositories!
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Data Archiving and Networked Services
DANS is an institute of KNAW en NWO
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Services in the model
• Information and awareness raising
• Training (data librarians and researchers)
• Storage (during and after the research)
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Roles and responsibilities: the Front Office
• Focus on information and awareness raising:– Information portal research community– Awareness raising, support and
training research community– Supporting VREs (research tools, data
storage during research; Sharepoint, Dataverse, etc.; transfer for long-term archiving in trusted digital repository)
– Liaising with back office– Data acquisition
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Roles and responsibilities: the Back Office
• Focus on expertise and long term storage:• Expertise and innovation in the area of
permanent storage, data management and re-use of data
– Providing expertise to the research community: training courses
– Providing expertise to the front office: training courses for data experts, consultancy, contact persons
– Long term preservation of data in a trusted digital repository
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Research Data Netherlands
• BO collaboration in order to serve the FO better and more efficient
• Existing collaboration DANS-3TU.Datacentrum (training data experts, Dutch Dataprize)
• Expanding areas of collaboration
• Open to other trusted digital repositories
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Future challenges
•Expanding the model over all universities (institutional agreements)
•Developing a business model to cover the costs
•Creating one single back office “desk” (RDNL)
•Creating a technical infrastructure for automatic data ingest
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Thank you for your attention!
[email protected]://www.researchdata.nl/
5 minute video: The what, why and how of data management planning https://www.youtube.com/watch?v=gYDb-GP1CA4