<p>Data, databases, and database interoperability at the International Rice Research Institute: practices, perspectives, and outlook</p>

Kenneth L.  McNally; Ramil Mauleon; Locedie  Mansueto; Kevin Christian  Palis; Venice  Juanillas; Jeffrey  Detras; Marko  Karkkainen; Mylah  Anacleto; Tobias  Kretschmar; Michael  Dingkuhn; W. Paul  Quick; Steve  Klassen; Nickolai  Alexandrov; Ruaraidh  Sackville Hamilton; George  Kotch; Hei  Leung

doi:10.7490/f1000research.1111366.1

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McNally KL, Mauleon R, Mansueto L et al. Data, databases, and database interoperability at the International Rice Research Institute: practices, perspectives, and outlook [version 1; not peer reviewed]. F1000Research 2016, 5:263 (slides) (https://doi.org/10.7490/f1000research.1111366.1)

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Data, databases, and database interoperability at the International Rice Research Institute: practices, perspectives, and outlook

Kenneth L. McNally¹, Ramil Mauleon¹, Locedie Mansueto, Kevin Christian Palis, Venice Juanillas, Jeffrey Detras, Marko Karkkainen, Mylah Anacleto, Tobias Kretschmar, Michael Dingkuhn, W. Paul Quick, Steve Klassen, Nickolai Alexandrov, Ruaraidh Sackville Hamilton, George Kotch, Hei Leung

Published 02 Mar 2016 (https://doi.org/10.7490/f1000research.1111366.1)

Author Affiliations

¹ International Rice Research Institute (IRRI), Philippines

Copyright © 2016 McNally KL 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 02 Mar 2016

Data, databases, and database interoperability at the International Rice Research Institute: practices, perspectives, and outlook
[version 1; not peer reviewed]

Author Affiliations

¹ International Rice Research Institute (IRRI), Philippines

Presented at

Interest Group on Agricultural Data (IGAD) Pre‐Meeting of the Research Data Alliance (RDA) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

IGAD, RDA, rice, rice research institute, IRRI, rice breeding, rice data, database, big data

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