How to Improve Data Curation in the Biodiversity Exploratories and BEXIS2

The poster focuses on a review and outline of options for improvement of the data management workflow in the Biodiversity Exploratories and BEXIS2 data management software. The Biodiversity Exploratories (BE) project is a German research platform. Scientists from different research institutions are investigating biodiversity in grasslands and forests. Since 2006, projects have collected a wide range of data (e.g. tabular data, R-scripts, images, GIS data). To promote data management, good data quality and to encourage data sharing between projects over time, a data management team was always part of the BE and the data management software of the BE (BExIS) was launched in 2007. In the following years, the data curation workflow, data policy, and software features were revised several times to meet the growing demands on data quality and to meet the FAIR principles. In 2021, we migrated to the data management software BEXIS2. In the last year we developed an application that automatically creates standardized GitHub issues for each newly created dataset to document the data curation and sends curation emails. In the next step, the BE data management team and the BEXIS2 core team want to integrate data curation in the data management software BEXIS2 to automate and reduce the workload of curation.