Are you a European early career or an expert doing research in data sharing? RDA Europe is seeking applications from students and early career professionals from higher education or research institutions with studies focusing on research data sharing as well as from mid-career or senior data professionals or scientists, interested or already committed to RDA activities, to support participation to the RDA Thirteen Plenary meeting. Apply now to RDA Europe open calls - Deadline is on 5 February 2019 at 5 pm CET.
RDA Europe established a network of national nodes to foster adoption of RDA outputs in the region, and thereby enable interoperability and data sharing on a global scale. Under the RDA Europe 4.0 project, financial support is provided for the set up of new RDA Europe nodes. A second call has just been launched to fund six new national nodes of maximum €32.400 each to support work time, travel, and other direct costs. Any organisation or group of organisations, based within the EU Member States and Associated countries, where there is not an existing node, can apply to the call. Application period closes on 26 April 2019.
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As a participant to groups and meetings from almost the beginning of RDA, INRA (French National Institute for Agricultural Research) became a natural adopter of recommendations from agricultural related working groups and several others. In fact, RDA has contributed to many aspects of INRA’s Open Science policy either directly or indirectly. 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 to develop INRA’s research networks and federate to address major issues induced by data sharing.