ArticleJournal of nutritional science2026
Improving data sharing in nutritional science: a symposium report of challenges, opportunities, and best practice recommendations.
Article in Journal of nutritional science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
12 authors.
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Abstract
This paper summarises the proceedings from two symposia (IUNS-ICN, 2025 and a FENS Task Force Northern Europe Networking webinar, 2025) convened to discuss the status of data sharing in nutritional science, with a focus on the challenges, opportunities, and solutions for achieving future best practice and available nutrition-related data and exemplar collaborations. Improved data sharing practices offer the potential to enhance research efficiency and impact. Despite this, data sharing is constrained by structural, cultural, and methodological barriers. Challenges include institutional/geographical data fragmentation, dataset heterogeneity, time- and resource-intensive requirements, GDPR/consent considerations, and publication-focused academic incentives over data stewardship. Opportunities include the exploration of new research questions, reduced data duplication, and more robust, conclusive, and equitable science. Transitioning toward effective data sharing practices will require coordinated action across academic institutions, the research community, funders, and publishers, including clear training, incentives, policies, and an overall cultural shift toward open science.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.