The recent nationwide audit of retracted research papers in China has shed light on significant challenges within the academic community. This audit, initiated by the Chinese Government, marks a crucial point in the pursuit of research integrity within China’s academic landscape. By actively initiating audits and supporting initiatives aimed at enhancing research integrity, government funding bodies send a clear message to researchers that accountability and transparency are paramount. Authors must recognize their responsibility not only to the academic community but also to those who fund their research endeavors.

Con la asistencia de autoridades académicas de la Universidad Nacional Autónoma de México (UNAM), el 11 de abril de 2024, se realizó la presentación virtual (vía Zoom y YouTube) del Descubridor de Artículos de Latindex. Este nuevo servicio, permite a los usuarios del Sistema descubrir y recuperar artículos académicos provenientes de revistas iberoamericanas que por su apego a criterios de calidad editorial, han pasado a formar parte del Catálogo Latindex 2.0.

On 11 April 2024, the new Article Discovery Service of Latindex was launched with the support of the Universidad Nacional Autónoma de México (UNAM). The online event was transmitted via Zoom and YouTube to a community of potential users interested in discovering new sets of academic information.  Through the discovery service, users will be able to search among half a million articles harvested to date. These articles come from a set of scientific journals (Catálogo 2.0) covering all disciplines of knowledge and published in the 21 Ibero-American countries that are part of the network, plus the Ibero-Americanist journals published in North America, Asia, and Europe.

Both organisations agreed to work together in 2021 in a variety of ways, but primarily to encourage the dissemination and use of scholarly research using online technologies, regional and international networks, partners and communities, helping to build local institutional capacity and sustainability around the world. The new agreement, signed in early March 2024, will slightly shift focus to build upon existing collaborations, particularly around metadata. One of the primary sections of the MOU is enhancing support for the least-resourced journals.

This study provides a deeper understanding of the issues around practices and costs of scholarly publications, offers an analysis of the situation, and proposes advice for policy actions. The report documents the pervasive lack of information on contracts and deals with publishers and recommends specific actions, mostly required on the side of the member states, institutions and libraries to enhance transparency regarding the costs of publishing. These include, among others, publishing the contracts and working on making available structured information about them.

Some journals capitalise on researchers’ and clinicians’ need for publications by luring them in with flattering emails, only to subject them to poor editing practices and threatening invoices. Instead of relying on (white) lists of journals, Dominic Mitchell / DOAJ recommends researchers learn what to look for when submitting a paper. Precisely, Think. Check. Submit is an initiative set up by several international scholarly publishing associations to make researchers more aware of what to look for when submitting to a journal.

OpenAlex is a promising open source of scholarly metadata, and competitor to the Web of Science and Scopus. As OpenAlex provides its data freely and openly, it permits researchers to perform bibliometric studies that can be reproduced in the community without licensing barriers. However, as OpenAlex is a rapidly evolving source and the data contained within is expanding and quickly changing, the question naturally arises as to the trustworthiness of its data. In this paper, the reference and metadata coverage within each database will be studied and compared with each other.

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Elsevier, a global leader in scientific information and data analytics, today launches Scopus AI – a generative AI product to help researchers and research institutions get fast and accurate summaries and research insights that support collaboration and societal impact.

Scopus AI is based on Scopus’ trusted content from over 27,000 academic journals, from more than 7,000 publishers worldwide, with over 1.8 billion citations, and includes over 17 million author profiles. Scopus content is vetted by an independent board of world-renowned scientists and librarians who represent the major scientific disciplines.