[3.1] the changing landscape of research data - maurits van der graaf [3tu.datacentrum symposium...
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-2014TRANSCRIPT
Research data management:
funder requirements, questions
and solutions
3TU.Datacentrum Symposium 2014
The changing landscape
of research data
Looking back
• 3TU Datacenter established in 2007
• As part of the set-up of the 3TU Datacenter: interview round with senior scientists at the three technical universities: – Situation with regard to the archiving of research
data: ‘little structured’ and ‘depending on persons’
– Response to 3TU Datacenter: ‘long-term process’ and plea for ‘small-scale, demand-driven approach’’
2011: NWO adapts policy with regard to research data
Four types of incentives
• Re-use and recognition: – Citations of datasets (f.e. DataCite) – Peer-reviewed data publication (f.e. ESSD)
• Journal data availability policies: – Journals increasingly demand that the underlying data of
an article are available
• Principles of science, reflected in rules and codes of conduct: – VNSU Code of Conduct (2004; updated in 2012)
• Requirements by funding organisations: – data plan; access/sharing;long-term curation; monitoring;
guidance; costs
• Challenge: to make sharing datasets an accepted and integrated part of the academic culture
VNSU Code Wetenschapsbeoefening III.2 De kwaliteit van dataverzameling, data-invoer, dataopslag en dataverwerking wordt goed bewaakt. Goede verslaglegging van alle stappen en controle op de uitvoering is noodzakelijk (labjournaals, voortgangsrapportages, documentatie van afspraken en beslissingen enz.). III.3 De bewaartermijn van ruwe onderzoeksgegevens is minimaal 5 jaar. Deze gegevens worden op aanvraag ter beschikking gesteld aan andere wetenschapsbeoefenaren. III.4 Ruwe onderzoeksgegevens worden zodanig gearchiveerd dat deze te allen tijde met een minimum aan tijd en handelen kunnen worden geraadpleegd.
Which roles with regard to research data fulfil Dutch researchers
With regard to research data I fulfil the following
roles:
Researchers Ph.D.
students
I am (co-) producer of research data 80,7 78,9
I have made research data available to others
occasionally 45,3 25
I re-use research data ( from other researchers
and/or from large research facilities) 43,1 41,8
None of the above-mentioned roles 8,3 8,9
How do Dutch researchers characterise their own research area? (DANS Naambekendheidsonderzoek 2013)
How would you characterise your research area with
regard to research data?
Researchers PhD
students
Research data do hardly play a role in my research
area 9,6 10,5
Data archiving and datasharing is already well
organised in my research area 15,5 10,2
Data archiving and datasharing become increasingly
important in my research area and its organisation is
in development
52,7 57,6
In my research area there is no culture of data
archiving and datasharing 22,2 21,7
In 2011: 42,4% 41,4%
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 ‘ideal’ 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
Programme
14.10 Requirements by funders
• Video message Neelie Kroes • Bert Meijer, Department of Chemical Engineering
and Chemistry, member of the board of NWO
14.45 Questions and solutions in research proposal phase: data management plan
• Madeleine de Smaele, 3TU Datacenter • Daniël Lakens, Department of Industrial
Engineering & Innovation Sciences
15.25 Break
15.45 Questions and solutions as research progresses Data lab
• Maurice van der Feesten, 3TU Datacenter • Pieter van Gorp, Department of Industrial
Engineering & Innovation Sciences
16.25 Questions and solutions after conclusion of research: Data archiving and publishing
• Leon Osinski (IEC) • Joos Buijs, Department of Mathematics &
Computer Science
17.10 Closing remarks
Networking with refreshments