AI-Powered SnapShot service checks new article submissions for compliance with data policies Taylor & Francis and DataSeer today announced an extension to their development partnership, which uses DataSeer’s SnapShot AI service to help authors meet journal data-sharing requirements. The new agreement comes on the heels of a successful year-long pilot of SnapShot, which was […]
New integration enables journals to easily implement AI Editorial support tools in any publishing platform Automating editorial checks with DataSeer SnapShot is now simpler than ever, thanks to a new partnership with TaskAdept. The agreement integrates SnapShot – a leading AI-powered editorial screening technology – with TaskAdept’s highly adaptable Carina Workflow Assist platform, enabling journals
DataSeer partners with TaskAdept to expand access to SnapShot Open Science checks Read More »
Do researchers actually reuse publicly available data and code? For years, this question sat at the heart of open science advocacy, yet answers were largely anecdotal. Despite strong policy signals and growing expectations around data sharing, there was no reliable, scalable way to measure whether shared datasets were being reused—or what impact that reuse had
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 »
In early 2026 DataSeer will join Proofig AI as a partner on their PubShield program, enabling researchers at dozens of leading institutions to automatically check their manuscripts for compliance with institutional, funder, or publisher Open Science policies. DataSeer’s checks for open data and open code will be delivered alongside Proofig AI’s image integrity screening and
DataSeer joins Proofig AI’s PubShield: Bringing Open Science screening to institutions Read More »
NOTE: This post was written by Rebecca Taylor Grant, Director of Open Research for Taylor & Francis together with Tim Vines, Founder and CEO of DataSeer, and Adrian Stanley, Partnerships Director for DataSeer. It originally appeared on the ALPSP blog as part of a series highlighting 2025 finalists for the ALPSP Award for Innovation in
Spotlight on Taylor & Francis Group and DataSeer SnapShot Read More »
We’re thrilled to share that DataSeer’s joint initiative with Taylor & Francis, has been selected as a finalist for the 2025 ALPSP Award! Our pilot, “Embedding transparency and reproducibility in science: A scalable partnership to support research excellence and data sharing policies,” has passed the first round of evaluation, and is now on the shortlist
DataSeer a finalist for the 2025 ALPSP Innovation Award Read More »
Defining the true impact of research is an elusive task. Open science practices such as data sharing, code sharing, protocol and methods sharing, preregistration, and others, can establish pathways towards increased impact. Communicating that impact hinges on easy access to as many elements of the research, metadata surrounding the research, and its usage, as possible.
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
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
Visualizing open science with DataSeer Read More »
Sign up to receive updates on our progress, data sharing and open science technologies, and more.
