Published April 16, 2026
| Version v1
Report
Open
Data pipelines for policy-relevant indicators [Policy brief]
Authors/Creators
- 1. Agentschap Plantentuin Meise
-
2.
Pensoft Publishers (Bulgaria)
-
3.
Global Biodiversity Information Facility
-
4.
Research Institute for Nature and Forest
-
5.
Martin Luther University Halle-Wittenberg
-
6.
German Centre for Integrative Biodiversity Research
- 7. Stellenbosch University Faculty of Science
- 8. BioGIS
Description
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.