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Open Science Metrics

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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DataSeer image of pressure gauge UKRI

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

Open Science Metrics, Partnership /

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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Carrot and stick DataSeer

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

DataSeer SnapShot, Open Science Metrics /

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

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

Bridge DataSeer

DataSeer bridges the gap between open science policies and researcher success

Compliance Checks, DataSeer SnapShot, Open Science Metrics /

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

Compliance Checks, Open Science Metrics, Partnership /

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

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

Test tubes, DataSeer

DataSeer and AAAS partner to boost reporting standards

Compliance Checks, Open Science Metrics, Partnership /

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

Open Science Metrics, Partnership /

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 Metrics /

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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Scientific article with supporting material

Visualizing open science with DataSeer

Compliance Checks, DataSeer SnapShot, Open Science Metrics /

DataSeer was founded in June 2020 to solve a very specific problem: mandated data-sharing policies were becoming increasingly common—but compliance remained frustratingly low. Four years on, the expectation of public access to data and other raw research outputs has only increased. Both the United States and Europe have open data policies and recommendations that include

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DataSeer was developed with the support of the Sloan Foundation.

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