Developing data interoperability using standards: A wheat community use case
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.
To maximize the adoption of the recommendations, the WDI-WG used a community-driven approach that involved the wheat research community from the start, took into account their needs and practices, and provided them with a framework to keep the recommendations up to date. We also report this approach’s potential to be generalizable to other (agricultural) domains.
Dzale Yeumo, E.; Alaux, M.; Arnaud, E.; Aubin, S.; Baumann, U.; Buche, P.; Cooper, L.; Cwiek-Kupczynska, H.; Davey, R.P.; Fulss, R.A.; Jonquet, C.; Laporte, M-A.; Larmande, P.; Pommier, C.; Protonotarios, V.; Reverte, C.; Shrestha, R.; Subirats, I.; Venkatesan, A.; Whan, A.; Quesneville, H.