<p>Data quality principles applied to agricultural research</p>

Debora Pignatari Drucker; P.R.B. Bertin; D.M. Pinto; M.C. Visoli; C.R. Delaia

doi:10.7490/f1000research.1114928.1

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Drucker DP, Bertin PRB, Pinto DM et al. Data quality principles applied to agricultural research [version 1; not peer reviewed]. F1000Research 2017, 6:1766 (slides) (https://doi.org/10.7490/f1000research.1114928.1)

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Data quality principles applied to agricultural research

Debora Pignatari Drucker¹, P.R.B. Bertin, D.M. Pinto, M.C. Visoli, C.R. Delaia

Published 27 Sep 2017 (https://doi.org/10.7490/f1000research.1114928.1)

Author Affiliations

¹ Brazilian Agricultural Research Corporation (Embrapa), Brazil

Copyright © 2017 Drucker DP et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 27 Sep 2017

Data quality principles applied to agricultural research
[version 1; not peer reviewed]

Debora Pignatari Drucker¹, P.R.B. Bertin, D.M. Pinto, M.C. Visoli, C.R. Delaia

Author Affiliations

¹ Brazilian Agricultural Research Corporation (Embrapa), Brazil

Presented at

Interest Group on Agricultural Data (IGAD) Pre-Meeting of the Research Data Alliance (RDA) 10th Plenary 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

IGAD, RDA, research data, data sharing, agriculture, data quality, Embrapa

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