Tim Vines is the Founder and Project Lead on DataSeer, an AI-based tool that helps authors, journals and other stakeholders with sharing research data. He’s also a consultant with Origin Editorial, where he advises journals and publishers on peer review. Prior to that he founded Axios Review, an independent peer review company that helped authors find journals that wanted their paper. He was the Managing Editor for the journal Molecular Ecology for eight years, where he led their adoption of data sharing and numerous other initiatives. He has also published research papers on peer review, data sharing, and reproducibility (including one that was covered by Vanity Fair). He has a PhD in evolutionary ecology from the University of Edinburgh and now lives in Vancouver, Canada.
Is open scholarship an honest signal of researcher integrity? We present preliminary evidence that data and code sharing, preprinting, and other open behaviors are indeed less common in papermill articles.
To close out 2025, we asked the Chefs: What would you ask for from Academic Publishing Santa?
We talk a lot about AI in scholarly communications and publishing, but today, we ask the Chefs: What’s your favorite AI hack?
Publishers have led themselves into a mess by focusing on rising submissions as a positive indicator of journal performance. The time has come to close the floodgates and require that authors demonstrate their commitment to quality science before we let them in the door.
To kick off Peer Review Week, we asked the Chefs, What’s a bold experiment with AI in peer review you’d like to see tested?
As AI becomes a major consumer of research, scholarly publishing must evolve: from PDFs for people to structured, high-quality data for machines.
What if the community could collaborate to fix scholarly metadata? The COMET initiative is about to find out…
Leading into Peer Review Week 2024, we ask the Chefs: What is, or would be, the most valuable innovation in peer review for your community?
Moving from a binary right/wrong view of metadata to a probabilistic framework brings many benefits
Promoting research integrity is not just identifying bad behavior: problem articles can also be detected by the absence of ‘honest’ signals of integrity.
A report from the fifth annual NISO Plus Conference, focusing on AI, metadata, and interoperability for scholarly communications.
The beginning of the holiday season means it’s time for our annual list of our favorite books read (and other cultural creations experienced) during the year. Part 2 today.
Will artificial intelligence fatally undermine the integrity of scholarly publishing? A formal debate from the annual meeting of the Society for Scholarly Publishing.
We check in with scholarly publishing vendors for their experiences at the 2023 SSP Annual meeting in Portland.
Another “mixed bag” post from us — Is it time to leave Twitter? How can we incentivize journals and authors to take up open science practices? What is “involution” and is DEIA the solution?