(Meta) Data Standards for agricultural research data management and approaches towards evaluation. An overview

The agricultural domain features a multitude of metadata and data standards, necessitating a comprehensive assessment. This evaluation considers the alignment of data standards with the requirements of available use cases and their adherence to FAIR (Findable, Accessible, Interoperable, Reusable) principles. An inventory of these standards has been compiled and will be presented, offering insights into their diversity and applicability. Additionally, ongoing efforts include the development of a schema.org extension, aiming to enhance findability and data sharing within the agricultural research community.