Plant research uses interdisciplinary approaches to understand the mechanisms of plant physiology, growth and productivity. High-throughput and targeted methods are used to generate large amounts of data from genomics, transcriptomics and other areas. To utilise this data effectively, research data management (RDM) according to the FAIR principles, data sharing and scientific collaboration are crucial. DataPLANT supports plant research through an open model that provides robust and accessible RDM practices and tools. A central element is the Annotated Research Context (ARC), which integrates relevant research and metadata into FAIR-compliant digital objects. In addition, the PLANTdataHUB cloud platform facilitates data exchange, publication and collaborative data management.

DataPLANT promotes the plant research data community through training activities and the provision of a data management plan wizard. The aim is to achieve broad participation in NFDI, focussing on interoperability and integration of existing datasets. DataPLANT is also working with other NFDI consortia to develop common standards and best practices for data processing and quality control. Automation and community involvement will ensure the sustainability of DataPLANT services and support the creation of high-quality data publications.