Salmon Data Mobilization

• DOI: 10.31219/osf.io/hk4gu
• Publication Date: 2023-12-02T05:01:48Z
• Authors: Graeme Diack; Tom Bird; Scott Akenhead; Jennifer M Bayer; Deirdre Brophy; Colin Bull; Elvira de Eyto; Brett Johnson; Matthew B Jones; Alexis Knight; Marie Nevoux; Tim C A van der Stap; Alan Walker
• Keywords: Environmental Indicators and Impact Assessment; 330; data mobilization; Bioinformatics; Ecology and Evolutionary Biology; Natural Resources Management and Policy; Research Methods in Life Sciences; Life Sciences; salmon; Aquaculture and Fisheries Life Sciences; research community; Animal Sciences; Physical Sciences and Mathematics; research culture; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; Environmental Sciences; FAIR

Despite substantial research and conservation efforts, many salmon populations are in decline. Globally, salmon research is not delivering effective decision support products to help managers apply research insights as informed management actions. Data Mobilization (DM) is a key step towards building the wider evidence base required to deliver accountable, reliable, and usable scientific advice to managers. Best practices for DM are being adopted throughout the scientific community but have not permeated deeply into the culture of salmon research and conservation. To address this, we present a strategy for Salmon Data Mobilization (SDM). This strategy defines three spheres of agencies and practitioners that must interact to advance SDM: (1) authoritative bodies that can create policies to support SDM uptake; (2) agencies that can promote, fund, and implement those policies; and (3) the broad salmon community of practice that can support uptake of SDM within focused interest groups. We sketch a future for SDM and propose functional changes required to improve it throughout the community.