TRY DATASEER

Scholarly journal publishing

AAAS & DataSeer logos

AAAS expands DataSeer partnership with pilot to automate research reporting for Science

DataSeer SnapShot, Partnership /

Collaboration explores AI-supported workflows to improve research reporting and editorial efficiency Focused on improving research quality and reproducibility while reducing author effort, the American Association for the Advancement of Science (AAAS), publisher of the Science family of journals, and DataSeer have announced they are extending their ongoing partnership with a new pilot. The pilot will […]

AAAS expands DataSeer partnership with pilot to automate research reporting for Science Read More »

Preliminary evidence linking Open Science to research integrity

Open Science, Open Science Metrics /

This post is authored by DataSeer Founder and CEO Tim Vines with coauthors Ben Kaub, Adam Day, and Kristen Ratan. It originally appeared on The Scholarly Kitchen blog January 28, 2026.   Back in April 2024, Tim Vines and Ben Kaube put together a Scholarly Kitchen post that took the concept of honest signaling — a theory for why

Preliminary evidence linking Open Science to research integrity Read More »

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

DataSeer SnapShot, Open Science, Open Science Metrics, Partnership /

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 »

EM & DataSeer logos

Aries Systems and DataSeer Partner to Advance Research Excellence and Transparency in Scientific Publishing

DataSeer SnapShot, Partnership /

Aries Systems Corporation, a leading provider of workflow management technologies for the scholarly publishing community, and DataSeer, a developer of AI-powered research integrity solutions for institutions, publishers, and funders, are pleased to announce their partnership to elevate quality and transparency in scientific research. Scholarly journals are often overburdened with time-consuming editorial checks on incoming submissions.

Aries Systems and DataSeer Partner to Advance Research Excellence and Transparency in Scientific Publishing Read More »

Tim Vines DataSeer

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

DataSeer SnapShot /

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

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

The Future of Reliable Research slide DataSeer

What experts are saying about the future of research integrity in an AI-driven world

DataSeer SnapShot, Open Science Metrics /

NOTE: This post originally appeared on the Research Solutions blog March 11 2025. The exponential growth of research output, coupled with the rise of AI, has created a perfect storm for scientific integrity. Over four million research papers are published annually, with this number doubling roughly every nine years. The sheer volume makes distinguishing between

What experts are saying about the future of research integrity in an AI-driven world Read More »

NISO Research Stacks slide DataSeer

Envisioning the future of trusted and reusable research communication

DataSeer SnapShot, Open Science Metrics /

We all want to ensure that scholarly research is efficient, reproducible, reusable, and trustworthy. Shifting the format of scholarly communication from a flat PDF article to a networked package of research outputs including data, code, methods, and other assets, may be the best way to do that. And with editorial support from AI publishing tools

Envisioning the future of trusted and reusable research communication Read More »

DataSeer SnapShot logo

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

DataSeer SnapShot /

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

Automating editorial checks with DataSeer SnapShot improves reproducibility and reduces editorial workload Read More »

KWG + DataSeer

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

Open Science Metrics, Partnership /

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 »

Keep in touch

Sign up to receive updates on our progress, data sharing and open science technologies, and more.

DataSeer was developed with the support of the Sloan Foundation.

Recent news

Quick links

Main Menu
Main Menu

Follow us at

Linkedin Youtube