Guest Post — Improving OpenAlex Data: Why Publishers Should Help Authors Improve the Scholarly Record
Today’s guest post is a call to action in support of OpenAlex and its role in author disambiguation.
Today’s guest post is a call to action in support of OpenAlex and its role in author disambiguation.
The community comes together to launch TRACE, a project to improve generative AI systems’ interoperability, verifiability and usage tracking.
The problem with AI may not be that machines are growing more intelligent. It may be that we are becoming increasingly skilled at amplifying a highly capable, but limited form of cognition.
The journal portfolio, platform, or membership is no longer enough, as AI transforms how research is discovered and consumed. How will your organization adapt?
The opportunity presented by AI is not to remove the human layer of scholarship. It is to recognize why that layer has always mattered.
Today’s post provides a brief analysis of self-referencing and scholarly impact through the lens of stigmergy theory
In this AI era, establishing trust and validating article versions with persistent identifiers (PIDs) is more important than ever.
From 19th-century beef tea to paper mills and generative AI, the challenge is no longer detection alone; it is preventing bad claims from becoming embedded knowledge.
Today’s guest post warns the community that, in the AI era, we cannot keep building the pieces that lay the foundation and letting someone else own what gets built on top of it.
Research integrity demands stronger safeguards in order to protect the scholarly record. But for editors, when new integrity measures are introduced, they do not replace existing tasks; they are added alongside them, compounding workloads and responsibilities.
Today’s guest post introduces the YCR-index as an alternative to measuring value with raw citation counts.
Building robust citation and attribution into generative AI systems are foundational to usage, credit and trust. We need to expect more from AI.
A powerful way to quantify article quality has been hiding in plain sight. It’s time to bring data citations into the limelight.
ScholarOne saw a submission surge in the first quarter of 2026 — evidence that AI is increasing the strain on peer review’s social contract with researchers.
Today’s guest post asserts that trust won’t be restored by “better messaging” alone, but via better incentives, more disciplined public communication, and really listening to the people who have walked away from us.