FAIR and transparent research data: An introduction

This interview was recorded in July 2020 for DocEnhance, an EU-funded project that aims to broaden the expertise of PhDs by developing courses in transferable skills. One such transferable skill is how to manage your research data in a transparent manner and as much as possible in accordance with th...

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Bibliographic Details
Published in:Open Science Talk
Main Authors: Ruud, Kenneth, Aspaas, Per Pippin
Format: Article in Journal/Newspaper
Language:English
Published: Septentrio Academic Publishing 2021
Subjects:
FAIR principles
Transparency
Research data
Academic integrity
Open Science
UiT The Arctic University of Norway
PhD Education
Research Data Management
DORA declaration
Arctic
Norway
Ruud
Arctic University of Norway
Online Access:https://septentrio.uit.no/index.php/OSTalk/article/view/5916
https://doi.org/10.7557/19.5916
Description
Summary:This interview was recorded in July 2020 for DocEnhance, an EU-funded project that aims to broaden the expertise of PhDs by developing courses in transferable skills. One such transferable skill is how to manage your research data in a transparent manner and as much as possible in accordance with the FAIR principles (Findable, Accessible, Interoperable, Reproducible). Professor of computational chemistry and prorector for research and development at UiT The Arctic University of Norway, Kenneth Ruud gives an introduction to FAIR and transparent research data management, emphasizing that this will not only help Science develop, but also help the career of individual researchers. First published online: July 9, 2021.

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