<p>Using AgMIP interoperability lessons learned from a large multi-disciplinary, multi-model project</p>

Cheryl  Porter; Chris Villalobos; Gerrit Hoogenboom; Jeff White; Medha Devare; Koo Jawoo

doi:10.7490/f1000research.1116665.1

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Porter C, Villalobos C, Hoogenboom G et al. Using AgMIP interoperability lessons learned from a large multi-disciplinary, multi-model project [version 1; not peer reviewed]. F1000Research 2019, 8:543 (slides) (https://doi.org/10.7490/f1000research.1116665.1)

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Using AgMIP interoperability lessons learned from a large multi-disciplinary, multi-model project

Cheryl Porter¹, Chris Villalobos, Gerrit Hoogenboom, Jeff White, Medha Devare, Koo Jawoo

Published 25 Apr 2019 (https://doi.org/10.7490/f1000research.1116665.1)

Author Affiliations

¹ University of Florida, USA

Copyright © 2019 Porter C 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 25 Apr 2019

Using AgMIP interoperability lessons learned from a large multi-disciplinary, multi-model project
[version 1; not peer reviewed]

Cheryl Porter¹, Chris Villalobos, Gerrit Hoogenboom, Jeff White, Medha Devare, Koo Jawoo

Author Affiliations

¹ University of Florida, USA

Presented at

Interest Group on Agricultural Data (IGAD) Pre-Meeting of the Research Data Alliance (RDA) 13th Plenary 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

IGAD, RDA, research data, CGIAR, FAIR principles, big data, GARDIAN, data interoperability,

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