AI-Powered SnapShot service checks new article submissions for compliance with data policies 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 […]
The past few years have been transformative ones for scholarly communications, and DataSeer is no exception. In 2024 we set out to make journal open science checks more sustainable, putting research integrity best-practice within research for more journals and researchers. Today, the revolution in reasoning LLMs blossomed into DataSeer SnapShot: a robust AI-powered editorial technology
From inspiration to game-changer: Where we’ve been and what’s next for DataSeer Read More »
This post is authored by DataSeer Founder and CEO Tim Vines. It originally appeared on The Scholarly Kitchen blog November 4, 2025. Academic publishing has long been a popularity contest: each journal is an exclusive club to which many are drawn, but only a few get invited in. The best clubs feature the most brilliant editors, the
Manuscript Submissions Are Up! That’s Good, Right? Read More »
No one gets into scientific editing to complete checklists. But that’s how many of the PhDs and editorial professionals who staff our scholarly journals end up spending their days. Because there are too many manuscripts. Too many requirements. And somebody has to make sure those boxes get ticked. Our AI-powered editorial support technology helps editors
The following post originally appeared on the Original Thoughts blog. Written by Tim Vines, Lindsay Morton and Adrian Stanley The benefits of sharing research data are well-documented: improving understanding, enhancing research integrity, and enabling reproducibility and reuse (UNESCO 2023). Data sharing maximizes the impact of scholarly work. However, while the value of transparent research
The levers of sharing research data: Moving from aspiration to action with AI support Read More »
Clear Skies and DataSeer, developers of AI-powered solutions for research integrity and transparency in scholarly publishing, are thrilled to announce a new collaboration with the digital publishing and platform provider HighWire Press, the platforms division of MPS Limited. The collaboration will focus on integrating Clear Skies and DataSeer technologies into HighWire’s DigiCore Pro peer review
Clear Skies and DataSeer announce joint strategic partnership with HighWire Press Read More »
DataSeer Snapshot is an AI integration that provides desperately needed editorial automation for open science: scanning manuscripts for transparent research practices such as data sharing, code sharing, and pre-registration. SnapShot works within existing service provider- and journal- workflows, allowing journal staff to rapidly triage manuscripts, moving those that display signals of research integrity into peer
KnowledgeWorks Global Ltd. (KGL), the leading provider of transformative content solutions, and DataSeer.ai, a premier resource for AI-powered Open Science compliance, have announced an agreement to embed automated checks for data sharing best practices into KGL’s Smart Review tool. The new partnership both expedites the peer review process for journal stakeholders and enhances the quality,
KnowledgeWorks Global Ltd. Integrates DataSeer open science checks into Smart Review® Read More »
Kriyadocs, a leading technology-led solutions provider for scholarly publishers, and DataSeer, a premier provider in AI-powered Open Science solutions, are excited to announce a partnership aimed at enhancing data sharing and research integrity in scholarly publishing. This collaboration integrates DataSeer’s AI technology into the Kriyadocs Unified Publishing Ecosystem (UPE), offering seamless and powerful data sharing
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