Taylor & Francis and DataSeer extend partnership helping authors to follow journal data requirements
AI-powered SnapShot service checks new article submissions for compliance with data policies
Photo: Leon Werdinger via Alamy
Taylor & Francis and DataSeer today announced an extension to their development partnership, which uses DataSeer’s SnapShot AI service to help authors meet journal data-sharing requirements. The new agreement comes on the heels of a successful year-long pilot of SnapShot, which was a finalist for the ALPSP Award for Innovation in Publishing, 2025.
Many Taylor & Francis journals now require authors to share the research data associated with their article, helping to support transparency, reproducibility and the robustness of the research process. SnapShot uses AI-driven assessment graphs to determine whether authors have generated new data, reused existing datasets, and complied with journal data-sharing policies.
The next phase of the partnership will focus on refining SnapShot’s performance for live manuscript submission, building out the tool to support journal administrative teams to make data checks quickly, accurately, and at scale.
Moving beyond checklists
Journal editorial teams face increasing submission volumes and growing expectations around transparency and research integrity. Data availability statements and reference lists are among the most complex and time-intensive areas to evaluate manually.
Through this collaboration, SnapShot will:
- Assess data generation and reuse practices within submitted manuscripts
- Compare author disclosures against journal-specific data policies
- Generate structured reasoning summaries to support decision making
- Provide policy-aligned author communication templates
By using SnapShot in the journal administration process, the goal is to support enhanced manuscript assessment, create accurate, bespoke feedback for authors and increase the sharing of quality research data.
The collaboration also supports iterative product development: refining outputs, enhancing reasoning clarity, and expanding assessment graphs to accommodate additional data policies across Taylor & Francis imprints.
Rebecca Taylor-Grant, Director of Open Science Strategy & Innovation, Taylor & Francis, said: “We’re delighted to extend our partnership with DataSeer and to continue to develop the SnapShot tool to support better data sharing. While the initial pilot demonstrated the potential of AI to aid editorial data checks, this new phase will further enhance our author feedback and guidance, creating comprehensive support for data sharing across disciplines.”
Tim Vines, CEO of DataSeer, said: “Data policies are only meaningful if they can be assessed consistently and at scale. This agreement with Taylor & Francis represents an important step toward operationalizing research integrity signals within live journal systems. Our focus is on measurable accuracy, transparency of reasoning, and seamless integration with editorial teams.”