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3TU.Datacentrum Symposium Research Data Management: Funder requirements, Questions and Solutions At this symposium the funding organisation NWO and the European Commission explained their vision, plans and requirements. Researchers from the three universities of technology shared their experiences of data management in different stages of research. And the Research Data Services team informed the audience about research data management services offered by 3TU.Datacentrum. The 3TU.Datacentrum symposium took place at the TU Delft (26 May), University of Twente (2 June) and TU Eindhoven (11 June) for and with local researchers. More information on: datacentrum.3tu.nl/over-3tudatacentrum/symposium-2014
Citation preview
3TUDatacentrum symposium UT 2 JUNE 2014
Research data management funder
requirements questions and solutions
The changing landscape of research data
2011 NWO adapts policy with regard to research data
Developments and context
bull G8 Science Ministers statement on Open Scientific Research Data (June 12 2013)
bull More and more funders require open access to publications and research data ndash EU Horizon2020 ERC
ndash NL NWO ZonMw
bull Open statement of Ministerie van OCW Sander Dekker
bull Advice KNAW-commission Research Data lsquoZorgvuldig en integer omgaan met wetenschappelijke onderzoeksgegevensrsquo
bull Revision VSNU Code of Conduct scientific research
bull New Standard Evaluation Protocol (SEP) scientific research
Why should we improve rdm
bull Requirements by funding organisations ndash data plan accesssharinglong-term curation
monitoring guidance costs
bull Journal data availability policies ndash Journals increasingly demand that the underlying
data of an article are available
bull Principles of science reflected in rules and codes of conduct ndash VNSU Code of Conduct (2004 updated in 2012)
bull Re-use and recognition ndash Citations of datasets (fe DataCite) ndash Peer-reviewed data publication (fe ESSD)
Research data management is hot
bull Research data management needs attention from researchers and supporting services
bull Challenge to make sharing and re-use of datasets an accepted and integrated part of the academic culture
bull RDNL (Research Data Netherlands) is partner for support ndash DANS (Data Archiving and Networked Services)
ndash 3TUDatacentre
ndash
CREATING DATA
PROCESSING DATA
ANALYSING DATA
PRESERVING DATA
GIVING ACCESS TO
DATA
RE-USING DATA
3TUDC support in research cycle
wwwdata-archiveacukcreate-managelife-cycle
Data Lab
Data
archiving
and
publishing
Data management plan
3TUDatacentrum goals
bull Make valuable data (re)usable discoverable and accessible on long term Open if possible closed if neccesary
bull Experiences Lot of data lsquolostrsquo and valuable data not used
Notes bull Keep the data close to the data producers
universities and research institutes bull Avoid becoming (too) dependent on commercial third
parties
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research
2011 NWO adapts policy with regard to research data
Developments and context
bull G8 Science Ministers statement on Open Scientific Research Data (June 12 2013)
bull More and more funders require open access to publications and research data ndash EU Horizon2020 ERC
ndash NL NWO ZonMw
bull Open statement of Ministerie van OCW Sander Dekker
bull Advice KNAW-commission Research Data lsquoZorgvuldig en integer omgaan met wetenschappelijke onderzoeksgegevensrsquo
bull Revision VSNU Code of Conduct scientific research
bull New Standard Evaluation Protocol (SEP) scientific research
Why should we improve rdm
bull Requirements by funding organisations ndash data plan accesssharinglong-term curation
monitoring guidance costs
bull Journal data availability policies ndash Journals increasingly demand that the underlying
data of an article are available
bull Principles of science reflected in rules and codes of conduct ndash VNSU Code of Conduct (2004 updated in 2012)
bull Re-use and recognition ndash Citations of datasets (fe DataCite) ndash Peer-reviewed data publication (fe ESSD)
Research data management is hot
bull Research data management needs attention from researchers and supporting services
bull Challenge to make sharing and re-use of datasets an accepted and integrated part of the academic culture
bull RDNL (Research Data Netherlands) is partner for support ndash DANS (Data Archiving and Networked Services)
ndash 3TUDatacentre
ndash
CREATING DATA
PROCESSING DATA
ANALYSING DATA
PRESERVING DATA
GIVING ACCESS TO
DATA
RE-USING DATA
3TUDC support in research cycle
wwwdata-archiveacukcreate-managelife-cycle
Data Lab
Data
archiving
and
publishing
Data management plan
3TUDatacentrum goals
bull Make valuable data (re)usable discoverable and accessible on long term Open if possible closed if neccesary
bull Experiences Lot of data lsquolostrsquo and valuable data not used
Notes bull Keep the data close to the data producers
universities and research institutes bull Avoid becoming (too) dependent on commercial third
parties
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research
Developments and context
bull G8 Science Ministers statement on Open Scientific Research Data (June 12 2013)
bull More and more funders require open access to publications and research data ndash EU Horizon2020 ERC
ndash NL NWO ZonMw
bull Open statement of Ministerie van OCW Sander Dekker
bull Advice KNAW-commission Research Data lsquoZorgvuldig en integer omgaan met wetenschappelijke onderzoeksgegevensrsquo
bull Revision VSNU Code of Conduct scientific research
bull New Standard Evaluation Protocol (SEP) scientific research
Why should we improve rdm
bull Requirements by funding organisations ndash data plan accesssharinglong-term curation
monitoring guidance costs
bull Journal data availability policies ndash Journals increasingly demand that the underlying
data of an article are available
bull Principles of science reflected in rules and codes of conduct ndash VNSU Code of Conduct (2004 updated in 2012)
bull Re-use and recognition ndash Citations of datasets (fe DataCite) ndash Peer-reviewed data publication (fe ESSD)
Research data management is hot
bull Research data management needs attention from researchers and supporting services
bull Challenge to make sharing and re-use of datasets an accepted and integrated part of the academic culture
bull RDNL (Research Data Netherlands) is partner for support ndash DANS (Data Archiving and Networked Services)
ndash 3TUDatacentre
ndash
CREATING DATA
PROCESSING DATA
ANALYSING DATA
PRESERVING DATA
GIVING ACCESS TO
DATA
RE-USING DATA
3TUDC support in research cycle
wwwdata-archiveacukcreate-managelife-cycle
Data Lab
Data
archiving
and
publishing
Data management plan
3TUDatacentrum goals
bull Make valuable data (re)usable discoverable and accessible on long term Open if possible closed if neccesary
bull Experiences Lot of data lsquolostrsquo and valuable data not used
Notes bull Keep the data close to the data producers
universities and research institutes bull Avoid becoming (too) dependent on commercial third
parties
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research
Why should we improve rdm
bull Requirements by funding organisations ndash data plan accesssharinglong-term curation
monitoring guidance costs
bull Journal data availability policies ndash Journals increasingly demand that the underlying
data of an article are available
bull Principles of science reflected in rules and codes of conduct ndash VNSU Code of Conduct (2004 updated in 2012)
bull Re-use and recognition ndash Citations of datasets (fe DataCite) ndash Peer-reviewed data publication (fe ESSD)
Research data management is hot
bull Research data management needs attention from researchers and supporting services
bull Challenge to make sharing and re-use of datasets an accepted and integrated part of the academic culture
bull RDNL (Research Data Netherlands) is partner for support ndash DANS (Data Archiving and Networked Services)
ndash 3TUDatacentre
ndash
CREATING DATA
PROCESSING DATA
ANALYSING DATA
PRESERVING DATA
GIVING ACCESS TO
DATA
RE-USING DATA
3TUDC support in research cycle
wwwdata-archiveacukcreate-managelife-cycle
Data Lab
Data
archiving
and
publishing
Data management plan
3TUDatacentrum goals
bull Make valuable data (re)usable discoverable and accessible on long term Open if possible closed if neccesary
bull Experiences Lot of data lsquolostrsquo and valuable data not used
Notes bull Keep the data close to the data producers
universities and research institutes bull Avoid becoming (too) dependent on commercial third
parties
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research
Research data management is hot
bull Research data management needs attention from researchers and supporting services
bull Challenge to make sharing and re-use of datasets an accepted and integrated part of the academic culture
bull RDNL (Research Data Netherlands) is partner for support ndash DANS (Data Archiving and Networked Services)
ndash 3TUDatacentre
ndash
CREATING DATA
PROCESSING DATA
ANALYSING DATA
PRESERVING DATA
GIVING ACCESS TO
DATA
RE-USING DATA
3TUDC support in research cycle
wwwdata-archiveacukcreate-managelife-cycle
Data Lab
Data
archiving
and
publishing
Data management plan
3TUDatacentrum goals
bull Make valuable data (re)usable discoverable and accessible on long term Open if possible closed if neccesary
bull Experiences Lot of data lsquolostrsquo and valuable data not used
Notes bull Keep the data close to the data producers
universities and research institutes bull Avoid becoming (too) dependent on commercial third
parties
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research
CREATING DATA
PROCESSING DATA
ANALYSING DATA
PRESERVING DATA
GIVING ACCESS TO
DATA
RE-USING DATA
3TUDC support in research cycle
wwwdata-archiveacukcreate-managelife-cycle
Data Lab
Data
archiving
and
publishing
Data management plan
3TUDatacentrum goals
bull Make valuable data (re)usable discoverable and accessible on long term Open if possible closed if neccesary
bull Experiences Lot of data lsquolostrsquo and valuable data not used
Notes bull Keep the data close to the data producers
universities and research institutes bull Avoid becoming (too) dependent on commercial third
parties
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research
3TUDatacentrum goals
bull Make valuable data (re)usable discoverable and accessible on long term Open if possible closed if neccesary
bull Experiences Lot of data lsquolostrsquo and valuable data not used
Notes bull Keep the data close to the data producers
universities and research institutes bull Avoid becoming (too) dependent on commercial third
parties
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research
Start Execution of the research Publications
Data management plan
Storage and (collaborative) processing of the research data
Archiving and publishing of research dataset(s)
Requirements by funders
A simplified schema of the lsquoidealrsquo research project from the perspective of research data management
Questions and solutions in the
research proposal phase
Questions and solutions as research progresses
Datalab
Questions and solutions after conclusion of
research