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