Measure Open Science

Taylor & Francis + DataSeer logo image

Taylor & Francis and DataSeer to collaborate in data-sharing Compliance Checks and Open Science Metrics pilots

Taylor & Francis – one of the world’s largest research publishers– and DataSeer – an AI solution provider for open science – are excited to announce two parallel pilot projects to address the practical challenges of open research implementation: A joint proof-of-concept pilot project aimed at improving the accuracy and speed of editorial data-sharing checks across […]

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Test tubes, DataSeer

DataSeer and AAAS partner to boost reporting standards

DataSeer and the American Association for the Advancement of Science (AAAS) are pleased to announce two new pilot programs designed to support high-quality reporting across scientific disciplines. The first will generate pre-filled MDAR reports for authors – saving them time and boosting the quality of methods reporting – for AAAS’ flagship journal Science. The second will

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Sussex + DataSeer

The University of Sussex and DataSeer partner on Open Research Metrics pilot

The University of Sussex and DataSeer are pleased to announce a new pilot program analyzing articles authored by Sussex researchers through the lens of DataSeer’s Open Science Metrics tool. Open Science Metrics use natural language processing and artificial intelligence to measure open science practices across large volumes of articles, allowing institutions, publishers, and funders to

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The top 5 ways measuring open science can help your organization meet its goals

Open science is a priority for many funders, publishers, and institutions—but without reliable and consistent industry data, setting targets and measuring progress can feel arbitrary. DataSeer’s Open Science Metrics tool offers top-level statistics on a range of open science practices across thousands of articles—for example all articles from a certain publisher, or all articles affiliated

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