Taylor & Francis and DataSeer extend partnership, helping authors to follow journal data requirements.
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 to support 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.”
About Taylor & Francis Taylor & Francis supports diverse communities of experts, researchers, and knowledge makers around the world to accelerate and maximize the impact of their work. We are a leader in our field, publish across all disciplines, and have one of the largest Humanities and Social Sciences portfolios. Our expertise, built on an academic publishing heritage of over 200 years, advances trusted knowledge that fosters human progress.
Contact Mark Robinson, mark.robinson@tandf.co.uk
About DataSeer DataSeer is an AI-powered research integrity technology company focused on improving the quality and quantity of open research data. Its SnapShot platform evaluates data generation, sharing, and reuse practices in scholarly manuscripts and provides structured compliance assessments aligned with journal and funder policies.
Contact Tim Vines, Tim@dataseer.ai
Member News Release submitted by DataSeer on 04/16/2026.
