Supporting Scientists with FAIR Research Data Management – Initiatives at ETH Zurich and beyond
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Author / Producer
Date
2020-08
Publication Type
Journal Article
ETH Bibliography
yes
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Abstract
The FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles for research data management have been established to advance data-driven science and are by now widely adopted among journals, funders and institutions. In order to comply with the FAIR principles, researchers must ensure that data are correctly documented and stored throughout the lifetime of a project. However, dealing with the everincreasing amount and complexity of data and information generated in research labs requires new data management skills that researchers need to acquire at the beginning of their career. To this end, the commitment of the academic institutions and funding agencies is of critical importance so that scientists can be provided with tools, education and support for data management. Here we present the ongoing efforts in this area at ETH Zurich, where the Scientific IT Services and the ETH Library support scientists with tools and services in data management. Similar efforts at the national level, with initiatives funded by swissuniversities,
are also presented.
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Publication status
published
External links
Editor
Book title
Journal / series
Volume
46 (2)
Pages / Article No.
22 - 27
Publisher
VSH
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Research Data Management (RDM); IT-based service; Library services (Librarianship)
Organisational unit
08576 - Forschungsdatenmgt und Datenerh. ETH-Bib / Res. Data Mgt. and Dig. Curation ETH Lib
06005 - ID Scientific IT Services / ITS Scientific IT Services
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Funding
Related publications and datasets
Is part of: http://vsh-aeu.ch/de/publikationen