Written by Tim Vines This post originally appeared on The Scholarly Kitchen blog June 2, 2026. How can we tell when an article presents high quality research? Peer review tries hard to determine whether the authors have conducted robust and relevant research, but the pressures of time and limited resources (including limited human expertise) mean […]
Data reuse is the sincerest form of flattery Read More »
DataSeer is excited to support BioFAIR in its new Monitoring and Evaluation project. BioFAIR is now in its second year as the UK’s national infrastructure for FAIR (Findable, Accessible, Interoperable, and Reusable) life science data. The organization, together with external consulting firm Research Consulting, aims to establish a benchmark of FAIR adoption across all the
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
Preliminary evidence linking Open Science to research integrity Read More »
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
From inspiration to game-changer: Where we’ve been and what’s next for DataSeer Read More »
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
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
What experts are saying about the future of research integrity in an AI-driven world Read More »
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
Envisioning the future of trusted and reusable research communication Read More »
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 »
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 »
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
DataSeer bridges the gap between open science policies and researcher success Read More »
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