JOINResearch Integrity
Integrity is the cornerstone of trustworthy research. STM is dedicated to upholding high standards of ethics and integrity in research publishing. We work closely with our members to address issues related to research integrity and ethics, ensuring that the research communication process is transparent, accountable and credible. By advancing research integrity, we contribute to the reliability and trustworthiness of scholarly publications.
Social Responsibility
Research does not exist in a vacuum; it intersects with broader social values. STM recognises the importance of social responsibility in research communication. We focus on issues such as equality, diversity, inclusion, sustainability and alignment with the Sustainable Development Goals (SDGs). By advancing social responsibility, we ensure that the research publishing industry and STM itself contribute positively to society and reflect the values of the communities we serve.
Open Research
STM is committed to fostering openness in research by supporting Open Access, Open Data and Open Infrastructure. We address the legal, policy, communications and technological aspects of open research, advocating for greater transparency and accessibility. By advancing open research, we help to break down barriers, enabling the free flow of knowledge and promoting innovation across the globe.
Standards and Technology
Innovation in technology and the development of shared standards are critical to the future of scholarly communication. STM is at the forefront of exploring how the industry can achieve its goals through collaborative efforts in standards development and the implementation of cutting-edge technology solutions. Our operational arm, STM Solutions, plays a key role in this area, driving the adoption of common standards and technological advancements that support openness, integrity and social responsibility.
The Latest from STM
STM supports transparency in AI training
STM has expressed support for Congressional efforts to legislate on AI transparency, with several bills proposed to require AI developers to disclose the use of copyrighted material. The TRAIN Act grants rightsholders the ability to petition courts to subpoena developers to release generative AI training data. The CLEAR Act would require generative AI developers to disclose, available via a…
EU Commission releases report on ERA Act consultation
Following the call for evidence on the ERA Act open between 6 August and 10 September 2025, the EU Commission released a summary of stakeholders’ responses. A fragmented copyright landscape, the lack of standardised metadata and interoperable data infrastructures, inequities arising from APCs, dominance of English in scientific publishing, reliance on commercial publishers and restrictive contractual practices…
STM submitted comments on copyright and AI in India
On 6 February, STM finalised its submission to the Department for Promotion of Industry and Internal Trade (DPIIT) in response to the Working Paper on Generative Artificial Intelligence and Copyright, which proposed introducing a statutory licensing scheme for AI. Other global and local publishing organisations, as well as additional rightsholders, also made submissions. STM will…
NSF implements immediate public access requirements
On January 22, NSF announced an immediate update to its public access policies in its Proposal and Award Policies and Procedures Guide (PAPPG). Effective immediately for new “financial assistance awards,” NSF grant recipients are required to deposit an accepted manuscript to the NSF Public Access Repository (PAR) immediately “at or before the time of publication.” On…