STM NEWSROOM

STM has long championed data citation and the sharing of research data underlying articles and monographs — work that sits at the heart of transparent, reproducible science. So it’s welcome news that Crossref has expanded its support in this area with a new dedicated data citation API endpoint, now available in beta. It contains over…

Transparency about how AI contributed to research outputs is an important aspect of research integrity. As approaches to disclosing AI use vary widely across disciplines, regions, and publication cultures, you may recall STM’s previous engagement on this topic. In September of 2025, STM released the report Recommendations for a Classification of AI Use in Academic…

A new documentary video released by The Rosenblum Award for Scholarly Publishing Impact celebrates the digital preservation of the scholarly record, the invisible infrastructure that keeps research reliable, accessible and secure for generations to come. Featuring leaders from CLOCKSS, LOCKSS, Portico, Lyrasis, the ISSN International Centre, the Digital Preservation Coalition, the Training Centre in Communication…

Ralph Youngen, who spent 27 years at the American Chemical Society, retired last month. STM would like to take this opportunity to thank Ralph for his exceptional contributions to the scholarly publishing community—and to STeC in particular.  Ralph has been a steady, vital force in scholarly infrastructure. As co-founder and chair of GetFTR, and as STeC chair, he brought the same qualities to…

STM has today published STM Trends 2030: A Voyage Into The Unknown: Navigating Shifts, Propelling Discovery — its annual horizon-scan of the forces shaping scholarly communications. Developed each year by senior members of STM’s STEC Committee (link) and Future Lab — a discussion forum drawing on innovation, technology, and strategy expertise from across the membership…

STM has published “Toward Responsible Use of Research Content in Generative AI,” a discussion document putting forward considerations for the responsible use of research content in generative AI tools, and inviting the broader research and GenAI development community to engage. The document focuses on what makes research content and research communication distinct from other types…

“The STM Association Alt Text Task & Finish Group (TFG) is excited to share its draft image-type taxonomy for scholarly images for comment and feedback. This taxonomy is a collaborative effort by members of the STM Association to develop a comprehensive classification system for images in scholarly publishing. In part, it is intended to assist authors…

Transparency about the use of generative Artificial Intelligence (AI) in research articles and other scholarly outputs is an important aspect of research integrity. At present, practices for  how  to disclose AI use vary widely across disciplines, regions, and publication cultures.  To address this issue, STM has released a report “Recommendations for a Classification of AI…

The STM Alt Text Task & Finish Group (TFG) has released a draft image-type taxonomy for scholarly images. This draft is the result of a collaborative effort by STM members to support accessible publishing, with a focus on helping authors and publishers write better image descriptions (alt text). Not only does it help prepare for…

On 9–10 December 2025, STM’s annual Innovation & Integrity Days brought together publishers, startups, funders, researchers and infrastructure providers for two days of focused, cross-sector collaboration in London.  Now in its third year (building on the legacy of STM Week), this year’s Innovation & Integrity Days reflected a noticeable shift: more dialogue across traditional boundaries, more…