Addressing the lag between biodiversity data collection and actionable biodiversity information in a new policy brief
Biodiversity is enormously diverse, unevenly observed, and constantly in motion across space and time. This makes it far harder to monitor than many other parts of the environment. As a result, managing biodiversity often depends on information that is incomplete, delayed or unevenly distributed. At the very moment when rapid change makes timely knowledge more valuable, the systems for collecting, identifying, publishing and using biodiversity data often struggle to keep pace.
To address this, six EU-funded Horizon projects – B-Cubed, BMD, OneSTOP, MAMBO, GUARDEN, and AURORA – have developed a new policy brief suggesting five policy directions that can help mitigate the lag from biodiversity observation to information.
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Reduce institutional bottlenecks: support data pipelines that move smoothly from field collection to open publication, with shared standards and automation where possible;
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Rethink incentives: reward data publication and timely sharing as legitimate scientific outputs;
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Strengthen identification capacity: invest in AI-assisted identification, reference collections and expert networks to accelerate taxonomic workflows;
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Encourage near-real-time data use: develop platforms that deliver provisional but usable data for decision-making, with clear metadata on taxonomic uncertainty.
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Embed feedback loops: Ensure that once information is used, results and corrections flow back to improve data quality over time.
The policy brief also provides examples of how the six EU projects aim to address the lag from observation to information.
OneSTOP works for more timely data for invasive alien species by streamlining the publication of both occurrence records and species checklists to GBIF. Working on an open and reproducible workflow to make detection data available on GBIF and other repositories, OneSTOP helps ensure that information on new or spreading species becomes visible more quickly. By shortening the path from local detection to global visibility, OneSTOP contributes directly to earlier warning and more effective response.
Find out more about the issue and the future directions of each project in the policy brief available on Zenodo and our website.