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FuTUre Meeting, 27-05-2014
Why
you should be prepared? [1]
Because this is expected by:
 Funders [NWO, ZonMW, EC]
 Journals [here, here, here, here]
 Professional organizations: VSNU code of
conduct, KNAW
 Research evaluators: VSNU SEP protocol
2015-2021
EC
Horizon 2020 #1: model grant agreement
• “… the beneficiary must aim to deposit at the same time the
research data needed to validate the results presented in the
deposited scientific publications, ideally into a data
repository.” [ Model grant agreement, p. 58, italics mine ]
• “… the notion of ‘publication’ increasingly includes the data
underpinning the publication and results presented (…) This
data is needed to validate the results presented (…)
Beneficiaries are also invited to grant open access to this data,
but there is no obligation to do so.” [ Guidelines on open
access, p. 7]
EC
Horizon 2020 #2: Open research data pilot
• “… aims to improve and maximise access to and re-use of research data
generated by projects for the benefit of society and the economy.”
• “Regarding the digital research data (…), the beneficiaries must: deposit in a
research data repository and take measures to make it possible (…) to access,
mine, exploit, reproduce, and disseminate – free of charge for any user (…) the
data … [italics mine]
• Two types of data: data underlying publications and other data as indicated by
researchers in DMPs [raw data or curated data not directly attributable to a
publication]
• “Participating projects will be required to develop a Data Management Plan
(DMP), in which they will specify what data will be open.”
• “Projects may opt out of the pilot to allow for the protection of intellectual
property or personal data; in view of security concerns; (…)”
• “As an exception, the beneficiaries do not have to ensure open access to
specific parts of their research data…”
Because you benefit from it
 data sharing increases your visibility ; papers
with data attached are cited more often
 data sharing is an indication of the
trustworthiness of your research
Why
you should be prepared? [2]
Source: Research Data Netherlands /
Marina Noordegraaf
Data sharing implies research data management
[RDM] during your research, or: RDM prepares
the way for sharing your data after the project
RDM: caring* for your data with the purpose of
protecting their mere existence and making
them available to others
How
you can prepare yourself? [1]
Source: Research Data Netherlands /
Marina Noordegraaf
*Goodman A, et al. (2014) Ten simple rules for the care and feeding of scientific data. PLoS Comput Biol 10(4): e1003542.
doi:10.1371/journal.pcbi.1003542
Protection against physical loss and destruction
storage, backup
Protection against intellectual loss and
unretrievability
metadata, documentation
Protection against unauthorized use
access control
How
you can prepare yourself? [2]
Source: Research Data Netherlands /
Marina Noordegraaf
Dataverse Network: data lab for research data
where you may
 store your data in an organized and safe way
 clearly describe your data
 arrange access to your data
 get recognition for your data
How
you can prepare yourself? [3]
Source: Research Data Netherlands /
Marina Noordegraaf
During your research
Dataverse Network
After your research: publishing and archiving in
a repository
3TU.Datacentrum, Figshare, Zenodo, DANS, Dryad
After your research: a (data) journal
J Open Psychology Data, Geoscience Data J
How
you can share your data? [1]
Source: Research Data Netherlands /
Marina Noordegraaf
“What research data and waste have in common
is that’s worthwhile to reuse them.”
Lilliana Abarca-Guerrero (2014), A construction waste generation model for developing countries,
PhD thesis TU/e, proposition 9
How
you can share your data? [2]
Data Coach
Symposium Research data management: funder
requirements, questions and solutions
Wednesday, 11 June, 13:30-17:30, Dorgelozaal
Support
Be prepared to share your data because it’s
required and because you benefit from it
Preparation = careful and responsible data
management
Wrap up
Source: Research Data Netherlands /
Marina Noordegraaf
Questions
 Do you experience data management problems within your work?
 Do you feel a need for more formal data management procedures / data
management planning within your work / laboratory?
 Would you consider publishing your research data sets, i.e. to make them
public available?
 Do you have reasons not to publish your research data?
 Are there privacy, legal or security issues involved with your data?
 Has someone ever asked for your research data?
Discussion
questions
Source: Research Data Netherlands /
Marina Noordegraaf

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Prepare share research data

  • 1. to share your research data l.osinski@tue.nl, TU/e IEC/Library Available under CC BY-SA license, which permits copying and redistributing the material in any medium or format & adapting the material for any purpose, provided the original author and source are credited & you distribute the adapted material under the same license as the original FuTUre Meeting, 27-05-2014
  • 2.
  • 3. Why you should be prepared? [1] Because this is expected by:  Funders [NWO, ZonMW, EC]  Journals [here, here, here, here]  Professional organizations: VSNU code of conduct, KNAW  Research evaluators: VSNU SEP protocol 2015-2021
  • 4. EC Horizon 2020 #1: model grant agreement • “… the beneficiary must aim to deposit at the same time the research data needed to validate the results presented in the deposited scientific publications, ideally into a data repository.” [ Model grant agreement, p. 58, italics mine ] • “… the notion of ‘publication’ increasingly includes the data underpinning the publication and results presented (…) This data is needed to validate the results presented (…) Beneficiaries are also invited to grant open access to this data, but there is no obligation to do so.” [ Guidelines on open access, p. 7]
  • 5. EC Horizon 2020 #2: Open research data pilot • “… aims to improve and maximise access to and re-use of research data generated by projects for the benefit of society and the economy.” • “Regarding the digital research data (…), the beneficiaries must: deposit in a research data repository and take measures to make it possible (…) to access, mine, exploit, reproduce, and disseminate – free of charge for any user (…) the data … [italics mine] • Two types of data: data underlying publications and other data as indicated by researchers in DMPs [raw data or curated data not directly attributable to a publication] • “Participating projects will be required to develop a Data Management Plan (DMP), in which they will specify what data will be open.” • “Projects may opt out of the pilot to allow for the protection of intellectual property or personal data; in view of security concerns; (…)” • “As an exception, the beneficiaries do not have to ensure open access to specific parts of their research data…”
  • 6. Because you benefit from it  data sharing increases your visibility ; papers with data attached are cited more often  data sharing is an indication of the trustworthiness of your research Why you should be prepared? [2] Source: Research Data Netherlands / Marina Noordegraaf
  • 7. Data sharing implies research data management [RDM] during your research, or: RDM prepares the way for sharing your data after the project RDM: caring* for your data with the purpose of protecting their mere existence and making them available to others How you can prepare yourself? [1] Source: Research Data Netherlands / Marina Noordegraaf *Goodman A, et al. (2014) Ten simple rules for the care and feeding of scientific data. PLoS Comput Biol 10(4): e1003542. doi:10.1371/journal.pcbi.1003542
  • 8. Protection against physical loss and destruction storage, backup Protection against intellectual loss and unretrievability metadata, documentation Protection against unauthorized use access control How you can prepare yourself? [2] Source: Research Data Netherlands / Marina Noordegraaf
  • 9. Dataverse Network: data lab for research data where you may  store your data in an organized and safe way  clearly describe your data  arrange access to your data  get recognition for your data How you can prepare yourself? [3] Source: Research Data Netherlands / Marina Noordegraaf
  • 10. During your research Dataverse Network After your research: publishing and archiving in a repository 3TU.Datacentrum, Figshare, Zenodo, DANS, Dryad After your research: a (data) journal J Open Psychology Data, Geoscience Data J How you can share your data? [1] Source: Research Data Netherlands / Marina Noordegraaf
  • 11. “What research data and waste have in common is that’s worthwhile to reuse them.” Lilliana Abarca-Guerrero (2014), A construction waste generation model for developing countries, PhD thesis TU/e, proposition 9 How you can share your data? [2]
  • 12. Data Coach Symposium Research data management: funder requirements, questions and solutions Wednesday, 11 June, 13:30-17:30, Dorgelozaal Support
  • 13. Be prepared to share your data because it’s required and because you benefit from it Preparation = careful and responsible data management Wrap up Source: Research Data Netherlands / Marina Noordegraaf
  • 14. Questions  Do you experience data management problems within your work?  Do you feel a need for more formal data management procedures / data management planning within your work / laboratory?  Would you consider publishing your research data sets, i.e. to make them public available?  Do you have reasons not to publish your research data?  Are there privacy, legal or security issues involved with your data?  Has someone ever asked for your research data? Discussion questions Source: Research Data Netherlands / Marina Noordegraaf