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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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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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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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DataSeer was developed with the support of the Sloan Foundation.

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