3733238
doi
10.5281/zenodo.3733238
oai:zenodo.org:3733238
user-on-merrit
user-eu
Pontika, Nancy
Open University
Fessl, Angela
Know-Center
Gyawali, Bikash
Open University
Wieser, Bernhard
TU Graz
Schmidt, Birgit
Georg-August-Universitat Göttingen
Klebel, Thomas
Know-Center
Ross-Hellauer, Tony
Know-Center
ON-MERRIT D1.2 Data Management Plan
Metzler, Hannah
Know-Center
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ON-MERRIT
Data Management Plan
FAIR principles
Responsible Research and Innovation
<p>This Data Management Plan (DMP) contains a description of all datasets to be collected, generated or re-used as part of ON-MERRIT’s research activities.<br>
This includes, firstly, the purpose of data collection (i.e. research questions), data origin, type, sharing and utility, as well as expected file size and format. Datasets for ON-MERRIT include primary data collected via surveys, interviews and workshops, as well as compiled, processed data generated from the knowledge graph Microsoft Academic Graph, the CORE aggregator, and Google Patents Public Data.<br>
Second, this DMP outlines measures taken to ensure compliance with the FAIR data principles.1 Most datasets generated during ON-MERRIT will be made findable and openly accessible (whenever possible, depending on data protection requirements) via the repository Zenodo together with detailed metadata and a digital object identifier. To make data interoperable, the consortium will use Open Source software and file formats wherever possible. To enable and stimulate re-use of data, analysis code will be shared via GitHub, appropriate open licences (CC-BY or similar) will be assigned, and quality is ensured via internal review processes.<br>
Third, the DMP describes the allocation of resources for data management, storage solutions and back-up plans during the project, long-term retention and data security, ensured via encryption and password protection. It finishes with a description of technical and organizational measures put in place for the protection of personal data, including collection and internal sharing of personal data (where necessary), anonymisation and pseudonymisation techniques used before making data openly accessible, and informed consent procedures.<br>
This DMP is a living document that will be regularly updated by all partners. At a minimum, it will be updated once after the end of the first reporting period (30 September 2020, report deadline 30 November 2020), at the end of phase 2 (30 September 2021) and, if additional changes are required, one final time before the final review (3 March 2022).</p>
Zenodo
2020-03-27
info:eu-repo/semantics/report
3733237
user-on-merrit
user-eu
1.0
award_title=Observing and Negating Matthew Effects in Responsible Research and Innovation Transition; award_number=824612; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/824612; funder_id=00k4n6c32; funder_name=European Commission;
1591256321.326213
392589
md5:0b41dcdb9ec18b57dfd8dc2fbe2dfd4c
https://zenodo.org/records/3733238/files/ON-MERRIT_D1.2_DMP.pdf
public
10.5281/zenodo.3733237
isVersionOf
doi