Research data management:
funder requirements, questions
and solutions
3TU.Datacentrum Symposium 2014
The changing landscape
of research data
Looking back
• 3TU.Datacentrum established in 2007
• As part of the set-up of the 3TU.Datacentrum:
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.Datacentrum: ‘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)
VSNU Code
Wetenschapsbeoefening
• Peer-reviewed
data
publication (f.e. ESSD)
SEP protocol 2015-2021
Challenge:
to policies:
make data-invoer,
sharing
III.2 data
De kwaliteit
van dataverzameling,
• Journal
availability
datasets
an
integrated
part
of
• Journals
increasingly
demand
that
the
underlying
data of an
The
assessment
committee
considers
the research
unit’s
verslaglegging
van
alle stappen
en controle
op de uitvoering
article
are
available
isthe
policy
noodzakelijk
onacademic
research
(labjournaals,
integrity and
voortgangsrapportages,
the way in which violations
culture
dataopslag
The
assessment
en dataverwerking
committee: wordt goed bewaakt. Goede
of
such of
integrity
are
prevented.
is interested
in how
documentatie
van
afspraken
en Itbeslissingen
enz.).
• Principles
science,
reflected
in rules
andthe
codes of
unit deals with research data, data management and
conduct:
integrity
III.3 De bewaartermijn van ruwe onderzoeksgegevens is
minimaal
jaar.Conduct
Deze gegevens
worden
op aanvraag
• VNSU
Code5 of
(2004;
updated
2012);terSEP 2015-021
•
Self evaluation:
beschikking
gesteld aan andere wetenschapsbeoefenaren.
Requirements
by funding
organisations:
Research integrity:
A general reflection
covering the
aspects:
c. how the unit
deals zodanig
with
and storesmonitoring;
III.4
Ruweaccess/sharing;
onderzoeksgegevens
worden
• Datafollowing
plan;
long-term
curation;
gearchiveerd
raw
and processed
dat deze
data
te allen tijde met een minimum aan
guidance;
costs
tijd en handelen kunnen worden geraadpleegd.
Which roles with regard to research data fulfil
Dutch researchers (DANS Naambekendheidsonderzoek 2013)
With regard to research data I fulfil the following
roles:
I am (co-) producer of research data
I have made research data available to others
occasionally
I re-use research data ( from other researchers
and/or from large research facilities)
None of the above-mentioned roles
Researchers Ph.D.
students
80,7
78,9
45,3
25
43,1
41,8
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 2011:
in development
52,7
57,6
42,4%
41,4%
22,2
21,7
In my research area there is no culture of data
archiving and datasharing
A simplified schema of the ‘ideal’ research project from
the perspective of research data management
Start
Conduct 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
Questions and solutions as
research progresses
Questions and solutions
after conclusion of
research
Questions and
solutions in the
research proposal
phase
Programme
14.10
Requirements by funders
• Research data and NWO: how to run a research
group in the world of big data; Bert Meijer,
Department of Chemical Engineering and
Chemistry, member of the board of NWO
14.40
Questions and solutions in
research proposal phase: data
management plan
• Data management planning; Madeleine de
Smaele, 3TU Datacenter
• Practical Benefits (and Some Annoyances) of
Sharing Data; Daniël Lakens, Department of
Industrial Engineering & Innovation Sciences
15.15
Break
15.25
Questions and solutions after
conclusion of research:
Data archiving and publishing
• Data sharing pays off; Leon Osinski (IEC)
• Archiving and publishing in practice ; Joos Buijs,
Department of Mathematics & Computer Science
16.00
Questions and solutions as
research progresses
Data lab
• Data labs; Maurice Vanderfeesten, 3TU Datacenter
• Beyond data sharing: sharing research software in
a dedicated cloud; Pieter van Gorp, Department
of Industrial Engineering & Innovation Sciences
16.35
Closing remarks
Networking with refreshments