Data pipelines for policy-relevant indicators [Policy brief]

Abstract

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.