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Tim Vines

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 […]

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

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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.

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Tim Vines DataSeer

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

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

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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

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Envisioning the future of trusted and reusable research communication

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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

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Carrot and stick DataSeer

The levers of sharing research data: Moving from aspiration to action with AI support

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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

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Clear Skies and DataSeer announce joint strategic partnership with HighWire Press

DataSeer SnapShot, Partnership /

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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Fireworks DataSeer 2024 progress

Farewell 2024, hello 2025! Recent progress and the road ahead

DataSeer SnapShot, Open Science Metrics, Partnership /

2024 marked DataSeer’s fifth birthday. Tim Vines founded the organization in 2019 on a simple idea: why not have artificial intelligence perform tedious data policy compliance checks? That vision led to the development of Compliance Checks, DataSeer’s premier product, which analyzes individual manuscripts and generates a detailed report with customized advice to help authors fulfil

Farewell 2024, hello 2025! Recent progress and the road ahead Read More »

DataSeer + Kriyadocs

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

DataSeer SnapShot, Partnership /

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

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

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DataSeer was developed with the support of the Sloan Foundation.

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