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Developing data interoperability using standards: A wheat community use case

Esther Dzale Yeumo 1 Michaël Alaux 2 Elizabeth Arnaud 3 Sophie Aubin 1 Ute Baumann 4 Patrice Buche 5, 6 Laurel Cooper 7 Hanna Ćwiek-Kupczyńska 8 Robert P Davey 9 Richard Allan Fulss 10 Clement Jonquet 11 Marie-Angélique Laporte 3 Pierre Larmande 12 Cyril Pommier 2 Vassilis Protonotarios 13 Carmen Reverte 14 Rosemary Shrestha 10 Imma Subirats 15 Aravind Venkatesan 16 Alex Whan 17 Hadi Quesneville 2 
Abstract : In this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and exchange data, and interpret that shared information. Interoperability is a growing concern to the wheat scientific community, and agriculture in general, as the need to interpret the deluge of data obtained through high-throughput technologies grows. Agreeing on common data formats, metadata, and vocabulary standards is an important step to obtain the required data interoperability level in order to add value by encouraging data sharing, and subsequently facilitate the extraction of new information from existing and new datasets. During a period of more than 18 months, the RDA Wheat Data Interoperability Working Group (WDI-WG) surveyed the wheat research community about the
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Submitted on : Wednesday, November 29, 2017 - 6:36:28 PM
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Esther Dzale Yeumo, Michaël Alaux, Elizabeth Arnaud, Sophie Aubin, Ute Baumann, et al.. Developing data interoperability using standards: A wheat community use case. F1000Research, Faculty of 1000, 2017, 6, ⟨10.12688/f1000research.12234.1⟩. ⟨lirmm-01652022v1⟩



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