Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring.

ABSTRACT:

Aim

Effective management strategies for conserving biodiversity and mitigating the impacts of global change rely on access to comprehensive and up-to-date biodiversity data. However, manual search, retrieval, evaluation, and integration of this information into databases present a significant challenge to keeping pace with the rapid influx of large amounts of data, hindering its utility in contemporary decision-making processes. Automating these tasks through advanced algorithms holds immense potential to revolutionize biodiversity monitoring.

Innovation

In this study, we investigate the potential for automating the retrieval and evaluation of biodiversity data from Dryad and Zenodo repositories. We have designed an evaluation system based on various criteria, including the

SUBMITTER: Fuster-Calvo A 

PROVIDER: S-EPMC11786708 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature