AI editorial

Taylor & Francis and DataSeer logos

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   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 […]

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From inspiration to game-changer: Where we’ve been and what’s next for DataSeer

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

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DataSeer AI Guy

We’re making journal editorial offices more efficient, more consistent, and more able to tackle new and exciting challenges. Join us!

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

We’re making journal editorial offices more efficient, more consistent, and more able to tackle new and exciting challenges. Join us! Read More »

Tim Vines DataSeer

Knowledge sharing with Tim Vines: How DataSeer is revolutionizing editorial checks and research integrity

NOTE: This post originally appeared on the KGL blog March 26 2025. by Mike Groth I sat down with Tim Vines, Founder and CEO of DataSeer, a KGL Smart Review integration partner, to discuss how AI is transforming editorial workflows and research integrity. DataSeer’s technology automates checks for data sharing, reporting, and reproducibility, ensuring manuscripts run

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DataSeer ClearSkies HighWire logos

Clear Skies and DataSeer announce joint strategic partnership with HighWire Press

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

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DataSeer SnapShot logo

Automating editorial checks with DataSeer SnapShot improves reproducibility and reduces editorial workload

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

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KWG + DataSeer

KnowledgeWorks Global Ltd. Integrates DataSeer open science checks into Smart Review®

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,

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DataSeer + Kriyadocs

Kriyadocs and DataSeer announce strategic partnership to elevate data integrity in scholarly publishing

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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