Open Science

Preliminary evidence linking Open Science to research integrity

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 […]

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Uncovering impact: Open Science Metric reveal hidden facets of UKRI’s impact on scholarship

In 2024, DataSeer embarked upon a pilot project with Silverchair. Together, we embedded Open Science Metrics data into Silverchair’s Sensus Impact funder dashboards to create data-rich micro-sites for five select funders. DataSeer’s Open Science Metrics quantify research integrity and open science behaviors across thousands of articles at a time, delivering accurate and meaningful business intelligence

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

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

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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Bridge DataSeer

DataSeer bridges the gap between open science policies and researcher success

Open science offers a vision of how scholarly communication might function — collaborative, equitable, transparent, reproducible, and trusted. When it comes to practical application, though, the way forward isn’t always clear. How do we bridge from the broad goals and policies around open science to the actions we expect from individual researchers for a particular

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