Taylor & Francis has announced an extension of its collaboration with DataSeer, continuing the use of the SnapShot AI service to help authors meet journal data‑sharing requirements. The agreement follows a year‑long pilot of SnapShot, which was recognized as a finalist for the ALPSP Award for Innovation in Publishing in 2025.
Many journals within Taylor & Francis now require authors to share the research data linked to their articles, supporting transparency, reproducibility, and research integrity. SnapShot applies AI‑driven assessment graphs to identify whether authors have generated new data, reused existing datasets, and complied with journal‑specific data policies.
The next phase of the partnership will focus on refining SnapShot’s performance during live manuscript submission. The tool is being developed to assist journal administrative teams in conducting data checks more efficiently and at scale.
Editorial teams face increasing submission volumes and growing expectations around transparency. Data availability statements and reference lists are among the most complex areas to evaluate manually. SnapShot aims to address these challenges by assessing data practices, comparing author disclosures against policy requirements, generating structured reasoning summaries, and providing policy‑aligned communication templates for authors. The collaboration also supports iterative product development, including refining outputs, enhancing clarity, and expanding assessment graphs to cover additional policies across Taylor & Francis imprints.
Rebecca Taylor‑Grant, Director of Open Science Strategy & Innovation at Taylor & Francis, indicated that the extended partnership would further develop SnapShot to improve data sharing practices. She noted that while the pilot demonstrated the potential of AI in editorial checks, the new phase would enhance author feedback and guidance across disciplines.
Tim Vines, CEO of DataSeer, emphasized that consistent and scalable assessment of data policies was essential, and described the agreement as a step toward integrating research integrity signals into journal systems. He highlighted measurable accuracy, transparent reasoning, and integration with editorial teams as priorities for the collaboration.
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