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New deliverables: 4 databases for more comprehensive advice

Managing and sharing data on diadromous species is a complex challenge. These species span multiple countries, diverse habitats, and are exposed to a wide range of human pressures. Ensuring access to high-quality, consistent data is essential—not only for reliable stock assessments, but also to align with the Transparent Assessment Framework (TAF) developed by ICES and the FAIR data principles:

• Findability: data should be easy to locate for scientists, experts, and other users
  
• Accessibility: data should be readily available, particularly for stock assessments
  
• Interoperability: data should work seamlessly with other systems (e.g. RDBES or RDFIS)
  
• Reusability: data should be usable for multiple purposes beyond their original use

To address these challenges, the DIASPARA project has developed four complementary database structures:

• A habitat database that documents habitats used by diadromous fish across their range. It serves as a central reference linking habitats, pressures (such as dams), monitoring data (e.g. electrofishing), and fish populations.

• An electrofishing database, connected to the habitat database, which compiles electrofishing data used to estimate fish abundance.

• A dam database that stores key parameters needed to assess the impact of barriers (such as weirs and dams) on fish during both upstream and downstream migrations. It also supports data collection aligned with the Nature Restoration Law.

• A diadromous database designed to support ICES stock assessments. It stores input data, model outputs, and individual life-history traits, in line with data collected in workpackage 2. This ensures consistency across datasets, simplifies hosting and maintenance by ICES, and improves compatibility with TAF and related tools.