With over 14000 individual members from 150+ countries, RDA provides a neutral space where its members can come together to develop and adopt infrastructure that promotes data-sharing and data-driven research
On how RDA has contributed to many aspects of INRA’s Open Science policy
The French National Institute for Agricultural Research (INRA) is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Being part of the Interest Group on Agricultural Data has been particularly fruitful in terms of strategic and technical advances to increase scientific data discoverability and interoperability at community level on Wheat Data for instance, or regarding semantic-based solutions for data handling and analyzing. Other RDA outputs are of importance for INRA, naming only those by the Libraries for Research Data IG which help defining the role of librarians from INRA in data management and sharing. RDA has also been the place o develop INRA’s research networks and federate to address major issue induced by the data sharing.
An adoption story written by Sophie Aubin, Michaël Alaux, Esther Dzalè, Odile Hologne and Cyril Pommier from INRA.
Which RDA Outputs have been adopted?
INRA has been involved in RDA since the very beginning as we attended the first plenary in March 2013 in Goteborg. Since then, INRA has identified RDA as an opportunity to contribute to the identification and/or construction of data standard. We have been consistently actively advocating for RDA and contributing to many working and interest groups, particularly the IGAD interest group, the Wheat Data Interoperability working group and the Agri-semantics working group. Beyond these, groups, INRA has been consistently monitoring and testing the outputs of many other groups of interest.
2. Agrisemantics Working Group recommendations are being adopted or scheduled in future projects. This is needed to address some complex cases of data interoperability. To avoid effort duplication in (re)developing semantic resources for describing largely shared agricultural objects. Resources producers need incentives and tools to share their work.
5. The FAIRsharing Registry and Recommendations: As recommended by the FAIRsharing working group, INRA describe this resource in the FAIRsharing registry and linked it with existing resources. INRA did the same with the GNPIS repository which is domain specific repository. Also, contribute to AgroPortal with semantic resources that are further referred as standards in FAIRsharing.
By adopting the three data standards included in the WDI recommendations have especially proven their importance and originality: MIAPPE, BrAPI and Crop Ontology. Those three standards already allow a consistent formatting of data for MIAPPE, their description with Crop Ontology and their machine enabled exchange with BrAPI. They have proven their usability not only for wheat but also for other crops as well as forest trees.
Lessons learned on RDA Outputs
The recommendations fit the needs of our organization and projects, and participants to the groups are already familiar with them when the adoption process starts. Persuading colleagues and partners to also adopt the WG outputs is also facilitated. We strongly recommend the same adoption. Indeed, to achieve a good level of interoperability at a global level, we believe that it is necessary to increase the number of adopters. It might be challenging and even intimidating to adopt some recommendations as a whole. Fortunately, a partial adoption is possible for most of the recommendations and is still better than nothing.