The DOI matches its Crossref record.
EUDAT: A New Cross-Disciplinary Data Infrastructure for Science
Open accessAbstract
The EUDAT project is a pan-European data initiative that started in October 2011. The project brings together a unique consortium of 25 partners – including research communities, national data and high performance computing (HPC) centres, technology providers, and funding agencies – from 13 countries. EUDAT aims to build a sustainable cross-disciplinary and cross-national data infrastructure that provides a set of shared services for accessing and preserving research data.
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Claims other papers make about this one
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Numerous general-purpose data repositories have emerged, at scales ranging from institutional to globally-scoped, including Dataverse, FigShare, Dryad, Mendeley Data, Zenodo, DataHub, DANS, and EUDat.
“Apparently in response to this, we see the emergence of numerous general-purpose data repositories, at scales ranging from institutional (for example, a single university), to open globally-scoped repositories such as Dataverse7, FigShare (http://figshare.com), Dryad8, Mendeley Data (https://data.mendeley.com/), Zenodo (http://zenodo.org/), DataHub (http://datahub.io), DANS (http://www.dans.knaw.”
From The FAIR Guiding Principles for scientific data management and stewardship (2016) · cites this paper as [9]
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The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
Self-citation
Metadata
- Authors
- Lecarpentier, D., Wittenburg, P., Elbers, W., Michelini, A., Kanso, R., Coveney, P., & Baxter, R.
- Affiliations
- University College London (GB)
- Venue
- International Journal of Digital Curation
- Publisher
- Edinburgh University Library
- Published
- 2013-06-14
- Volume
- 8
- Issue
- 1
- Pages
- 279-287
- ISSN
- 1746-8256 (ISSN-L)
- OpenAlex
- W2019481684
- Cited by
- 49
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 2 · 2019: 7 · 2018: 10 · 2017: 5 · 2016: 3 · 2015: 2 · 2014: 1
- FWCI
- 5.80
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Digital Curation (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- EGUGA
- Funders
- Medical Research Council (MR/K006584/1)
- Engineering and Physical Sciences Research Council (EP/L00030X/1, EP/I034602/1)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- EUDAT, research data infrastructure, data preservation, research data access, data sharing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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