ShareTrait: an open data resource to achieve a synthesis of the evolution and ecology of traits

Energy metabolism, development and fecundity are key traits by which species respond to a changing environment. However, data on these key traits is scattered throughout the literature. In the NWO ShareTrait-project we have developed a platform for the collection, reformatting and standardization of trait data. We now want to upscale and transform this platform into a valuable resource the wider scientific community. To do so, we envision a top-down approach by partnering with key journals to mandate deposition of data on these traits, as well as a bottom-up approach to entice and facilitate researchers to deposit their data.

JupyterFAIR, a project funded by the #NWO #OpenScienceFund, was presented today at #FAIRDataday. Such a joy to see the results of this project and the level of interest from the community.

Really refreshing to hear "the proposal is publicly available via Zenodo if you would like to read the details. #opengrants #openscience
https://doi.org/10.5281/zenodo.6026285

Integration of interactive research environments to data repositories to facilitate FAIR data management practices: JupyterFAIR

Many researchers use virtual research environments, such as JupyterLab, where substantial data produced during the whole research lifecycle. However, data publishing and sharing typically happen only at the end of the research and shared data often lack important metadata, mainly due to the need of manual inputs. This project aims to develop and operationalize a tool (JupyterFAIR) for 'one-click' and seamless integration of research environments and data repositories, including metadata transfer and data quality checks. The tool will significantly decrease manual intervention needed to archive research data and promote more frequent data sharing in line with FAIR principles.

Zenodo