[Call for proposals DATASHARE 2023]
The aim of this DATASHARE joint call is to accelerate the sharing of open-access and large scale ‘novel’ biodiversity related datasets. This call complements classical biodiversity synthesis calls, which aim at fostering the analysis of existing data and the synthesis of ideas and concepts, with a specific focus on data compilation and sharing. It can be considered as a preliminary step, but not mandatory, before submitting a research proposal to a classical biodiversity synthesis call (e.g. CESAB, sDiv, NCEAS).
Will be considered any dataset of ecological value such as occurrence, abundance, genomic, phylogenetic, functional, biogeochemical, biodiversity related data on any functions, taxa, communities, or ecosystems, anywhere on Earth and at any time. Socio-economic and/or environmental data will also be considered if clearly linked to the above mentioned biodiversity related data. Cross-level datasets combining different levels of biodiversity will be most appreciated.
For its second 2023 edition, the DATASHARE call will fund four 2-years projects.
Find here the full description of the call.
Projects must be coordinated by a researcher affiliated to a French research institute and applications should be sent to firstname.lastname@example.org on the 15/09/2023 at 13:00 CEST at the latest.
Each working-group must:
- be composed of a maximum of ten members (including the PIs);
- be international, well-balanced and diverse in terms of gender, range of expertise and career stage;
- include at least one person identified as the responsible for the management of data who will be in direct interaction with the CESAB data scientists.
The groups are expected to meet at CESAB three times over the 2-year duration of the project, during 5-day sessions. They are also expected to organize a one-week virtual meeting and regular short virtual meetings throughout the project duration. They will receive support from a dedicated data scientist based at the CESAB for database conceptualization, design, compilation and potential dissemination. The data scientist will be hired by the FRB-CESAB for two years and will work exclusively with the four funded projects.