Work

weeDive: Making Long-Term Arable Vegetation and Monitoring Data FAIR

Year: 2025

Type: article

Abstract: • Agriculture runs on divers data – from field notes to climate records – each with its own quirks and needs • To unlock their full potential, we must first understand these needs before data can deliver real value. • We draft a blueprint with challenges, solutions, and benefits for working smater with agricultural data using three case studies.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17396411

Authors: Bensch, Johanna, von Redwitz, Christoph, Gerowitt, Bärbel

Institutions: Julius Kühn-Institut, University of Rostock

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft