At the last IGAD/RDA Plenary Meeting 14 at the University of Helsinki (Finland) last month, the Agricultural Data Interest Group (IGAD) agreed to start a webinar series to enable high quality presentations and discussions to happen even if we cannot all be together in person at RDA. The Agricultural Data Interest Group (IGAD) exists to facilitate coordination and progress among a community of international data experts. These webinars will allow us keep up with cutting edge developments in agricultural data, and will encourage the free flow of ideas. Please come prepared to ask questions and offer suggestions!
We initiated the RDA Webinar Series in Agriculture with the presentation ‘Global Long-term Experiments in Agriculture Network (GLTEN) Metadata Portal’ by Richard Ostler from the Rothamsted Research (United Kingdom).
The webinar was held on 20 November 2019.
The GLTEN was launched in May 2018 with the aim of establishing a collaborative international network for long-term agricultural experiments (LTEs). The GLTEN now represents over 50 LTEs across the world and covers diverse and contrasting climate and environmental regions, crops and land management systems. To improve the visibility of LTEs and LTE data the GLTEN has developed a searchable online metadata portal. The portal does not host data, but instead provides metadata about LTEs and directs users to the LTE data owners preferred data access process. The metadata portal uses a minimum information checklist approach to capture key facts about LTEs including design and treatment factors; cropping system; site characterisation including location, landscape, soil and climate properties; administrative information including data access & licensing, contacts and associated organisations; recorded measurements and observations and data availability. To ensure interoperability with related systems, the checklist is mapped to schema.org in line with DataCite mappings and metadata are annotated using existing publicly available ontologies and controlled vocabularies. Metadata are published using CC0 licensing and can be queried using the portal API.