Data pipelines for policy-relevant indicators [Policy brief]

Le résumé fourni par la source

Although large volumes of biodiversity data are available, they are often fragmented, inconsistent, and difficult to integrate efficiently, which poses a challenge for policy-makers. Automated data pipelines make it possible to turn scattered biodiversity records into indicators that support evidence-based policymaking. Standardised, interoperable, and FAIR-compliant workflows for analysing and sharing biodiversity are provided using tools such as GBIF’s data cube service and a collection of open-source R packages. While these tools are mainly used by scientific and technical teams, their outputs deliver clear, accessible evidence to policymakers, improving the timeliness of biodiversity information.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.