Bernard Rentier @bernardrentier@qoto.org

Back in August last year, Techdirt covered a major announcement by the US government that all taxpayer-supported research should be immediately available to the public at no cost. As Mike wrote at …

Reprenez le contrôle de vos données personnelles avec la campagne de mobilisation #JeNeSuisPasUneData d'UFC-Que Choisir.

Other than helping people cheat, that is.

Discover everything you need to know about AI in education in 2023, including tools and strategies for integrating AI in the classroom

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By Claire Frances and Giovanni Zimotti, University of Iowa   From the Chronicle of Higher Education’s December 13th article, “AI and the Future of Undergraduate Writing” to NPR’s December 19th story, “A new AI chatbot might do your homework for

Aggregated references to data across outputs will help the community monitor impact, inform future funding, and improve the dissemination of research Amsterdam – 17 January 2023 – DataCite is pleas…

There is an ongoing explosion of scientific datasets being generated, brought on by recent technological advances in many areas of the natural sciences. As a result, the life sciences have become increasingly computational in nature, and bioinformatics has taken on a central role in research studies. However, basic computational skills, data analysis, and stewardship are still rarely taught in life science educational programs, resulting in a skills gap in many of the researchers tasked with analysing these big datasets. In order to address this skills gap and empower researchers to perform their own data analyses, the Galaxy Training Network (GTN) has previously developed the Galaxy Training Platform (https://training.galaxyproject.org), an open access, community-driven framework for the collection of FAIR (Findable, Accessible, Interoperable, Reusable) training materials for data analysis utilizing the user-friendly Galaxy framework as its primary data analysis platform. Since its inception, this training platform has thrived, with the number of tutorials and contributors growing rapidly, and the range of topics extending beyond life sciences to include topics such as climatology, cheminformatics, and machine learning. While initially aimed at supporting researchers directly, the GTN framework has proven to be an invaluable resource for educators as well. We have focused our efforts in recent years on adding increased support for this growing community of instructors. New features have been added to facilitate the use of the materials in a classroom setting, simplifying the contribution flow for new materials, and have added a set of train-the-trainer lessons. Here, we present the latest developments in the GTN project, aimed at facilitating the use of the Galaxy Training materials by educators, and its usage in different learning environments.

A call to action for the creative class and labour movement to rally against the power of Big Tech and Big MediaCorporate concentration has breached the stratosphere, as have…

The academic community has been increasingly using preprints to disseminate their latest research findings quickly and openly. This early and open access of non-peer reviewed research warrants new means from the scientific community to efficiently assess and provide feedback to preprints. Yet, most peer review of scientific studies performed today are still managed by journals, each having their own peer review policy and transparency. However, approaches to uncouple the peer review process from journal publication are emerging. Additionally, formal education of early career researchers (ECRs) in peer reviewing is rarely available, hampering the quality of peer review feedback. Here, we introduce the Preprint Club, a cross-institutional, community-based approach to peer reviewing, founded by ECRs from the University of Oxford, Karolinska Institutet and Icahn School of Medicine at Mount Sinai. Over the past two years and using the collaborative setting of the Preprint Club, we have been discussing, assessing, and providing feedback on recent preprints in the field of immunology. In this article, we provide a blueprint of the Preprint Club basic structure, demonstrate its effectiveness, and detail the lessons we learned on its impact on peer review training and preprint author's perception. ### Competing Interest Statement The authors have declared no competing interest.