8

Click here to load reader

[2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

Embed Size (px)

DESCRIPTION

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

Page 1: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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

Page 2: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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

Page 3: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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

Page 4: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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

Page 5: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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

Page 6: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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

Page 7: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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

Page 8: [2.1] The Changing Landscape of Research Data - Peter Daalmans [3TU.Datacentrum Symposium 2014, Twente]

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