State of fairness in esfri projects
(2020) In Data Intelligence 2(1-2). p.230-237- Abstract
Since 2009 initiatives that were selected for the roadmap of the European Strategy Forum on Research Infrastructures started working to build research infrastructures for a wide range of research disciplines. An important result of the strategic discussions was that distributed infrastructure scenarios were now seen as “complex research facilities” in addition to, for example traditional centralised infrastructures such as CERN. In this paper we look at five typical examples of such distributed infrastructures where many researchers working in different centres are contributing data, tools/services and knowledge and where the major task of the research infrastructure initiative is to create a virtually integrated suite of resources... (More)
Since 2009 initiatives that were selected for the roadmap of the European Strategy Forum on Research Infrastructures started working to build research infrastructures for a wide range of research disciplines. An important result of the strategic discussions was that distributed infrastructure scenarios were now seen as “complex research facilities” in addition to, for example traditional centralised infrastructures such as CERN. In this paper we look at five typical examples of such distributed infrastructures where many researchers working in different centres are contributing data, tools/services and knowledge and where the major task of the research infrastructure initiative is to create a virtually integrated suite of resources allowing researchers to carry out state-of-the-art research. Careful analysis shows that most of these research infrastructures worked on the Findability, Accessibility, Interoperability and Reusability dimensions before the term “FAIR” was actually coined. The definition of the FAIR principles and their wide acceptance can be seen as a confirmation of what these initiatives were doing and it gives new impulse to close still existing gaps. These initiatives also seem to be ready to take up the next steps which will emerge from the definition of FAIR maturity indicators. Experts from these infrastructures should bring in their 10-years’ experience in this definition process.
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- author
- Wittenburg, Peter ; de Jong, Franciska ; van Uytvanck, Dieter ; Cocco, Massimo ; Jeffery, Keith ; Lautenschlager, Michael ; Thiemann, Hannes ; Hellström, Margareta LU ; Asmi, Ari and Holub, Petr
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- FAIR Metrics, GO FAIR Matrix, Infrastructure
- in
- Data Intelligence
- volume
- 2
- issue
- 1-2
- pages
- 8 pages
- publisher
- MIT Press
- external identifiers
-
- scopus:85117817369
- ISSN
- 2096-7004
- DOI
- 10.1162/dint_a_00045
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2019 Chinese Academy of Sciences Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
- id
- 69d0fa9d-8005-4487-a79f-085f0c9f5475
- date added to LUP
- 2021-11-23 12:22:42
- date last changed
- 2023-08-30 06:09:44
@article{69d0fa9d-8005-4487-a79f-085f0c9f5475,
abstract = {{<p>Since 2009 initiatives that were selected for the roadmap of the European Strategy Forum on Research Infrastructures started working to build research infrastructures for a wide range of research disciplines. An important result of the strategic discussions was that distributed infrastructure scenarios were now seen as “complex research facilities” in addition to, for example traditional centralised infrastructures such as CERN. In this paper we look at five typical examples of such distributed infrastructures where many researchers working in different centres are contributing data, tools/services and knowledge and where the major task of the research infrastructure initiative is to create a virtually integrated suite of resources allowing researchers to carry out state-of-the-art research. Careful analysis shows that most of these research infrastructures worked on the Findability, Accessibility, Interoperability and Reusability dimensions before the term “FAIR” was actually coined. The definition of the FAIR principles and their wide acceptance can be seen as a confirmation of what these initiatives were doing and it gives new impulse to close still existing gaps. These initiatives also seem to be ready to take up the next steps which will emerge from the definition of FAIR maturity indicators. Experts from these infrastructures should bring in their 10-years’ experience in this definition process.</p>}},
author = {{Wittenburg, Peter and de Jong, Franciska and van Uytvanck, Dieter and Cocco, Massimo and Jeffery, Keith and Lautenschlager, Michael and Thiemann, Hannes and Hellström, Margareta and Asmi, Ari and Holub, Petr}},
issn = {{2096-7004}},
keywords = {{FAIR Metrics; GO FAIR Matrix; Infrastructure}},
language = {{eng}},
number = {{1-2}},
pages = {{230--237}},
publisher = {{MIT Press}},
series = {{Data Intelligence}},
title = {{State of fairness in esfri projects}},
url = {{http://dx.doi.org/10.1162/dint_a_00045}},
doi = {{10.1162/dint_a_00045}},
volume = {{2}},
year = {{2020}},
}