Et nous présenterons certains résultats à Rennes prochainement, à la MSH en Bretagne, dans le cadre de leur séminaire de recherche « D’un projet de recherche à un outil numérique : démarches et méthodes» www.mshb.fr/event/semina... #MSH @cnrs.fr @cnrsshs.bsky.social #MSH #DH #IA #RAG 2/

It seems strange to provide funding for APCs, help set the wheels in motion for a new system of publishing and then withdraw funding so that institutions pick up the bill -- all in the name of "value for money". I'm in favour of reassessing APCs, but this feels like a pretty clumsy way of doing so.

Funding metadata in OpenAlex: where are they now? | Sesame Open Science With a grant from Wellcome, OpenAlex is working to improve its coverage of funding metadata. The three-year project started in September 2025, and the effects are already visible. Building on an earli...

OpenAlex (openalex.org) is rapidly closing the gap in funding metadata coverage. Re-using a dataset of NWO-funded papers we find they're now on par with Scopus and just slightly behind Dimensions.

Full analysis with @hldejonge.bsky.social : 🔗 bmkramer.github.io/SesameOpenSc...

Yale Library Testing #MCP Connector For "Deeper Searching of Library Resources" library.yale.edu/news/yale-li... #libraries #GenAI #LLMs

Découvrabilité des contenus scientifiques francophones : le Commun numérique des sciences en français publié ! À l’occasion de la Semaine de la langue française et de la francophonie (17-20 mars), nous avons le plaisir d’annoncer la publication du corpus Commun numérique des sciences en français (FrenchScience...

Lancement du « Commun numérique des sciences en français » : 1,25 m. de documents pour l'IA, dont notamment des thèses et des articles, publiés dans la période 2007-2026 dans les bases OpenAlex, HAL et ThesesFR. tradso.hypotheses.org/931 @operaseu.bsky.social #Pleias @chaire-dcsf.bsky.social

Article : numériser pour la science ouverte Le projet NUM SO (Numériser pour la science ouverte), porté par les Presses de l’Université de Montréal (PUM) et les Presses universitaires de Rennes, achève aujourd’hui son parcours. Lauréat du 3ᵉ…

Article : numériser pour la science ouverte
lalist.inist.fr/article-nume...

Bibliothèques et agents IA : le risque de l’invisibilisation L’année 2026 sera l’année des agents IA… C’était annoncé, et effectivement depuis le début de l’année nous assistons à la diffusion

[veille] Bibliothèques et agents IA, avec à la fois des explications très concrètes (et pas si techniques que ça, au besoin sautez les passages en Courier New) et des propositions d'axes d'approfondissement pour 2026 sur IA, agentique et MCP

🌼 Bientôt le Printemps de la donnée, l'atelier ARDoISE participe !
👉 scienceouverte.univ-rennes.fr/actualites/cinquieme-edi...
#DonnéesRecherche
#ARDoISE

on a related note...

National Library of Korea Rejects #AI Publisher's 9,000 Book Deposits (via Chosun Daily) #libraries #books #GenAI www.chosun.com/english/trav...

hal.science/hal-04493313

Wiley: "We’re supporting responsible research assessment practices" onlinelibrary.wiley.com/journal/1520...

Also Wiley: "Prove that your article is a good fit for this journal 😉😉😉😉😉 by citing at least two of our articles in your manuscript before we will even consider reviewing it" 🤡

I really wish #OpenAI would stop releasing free stochastic parrots in every community they can think of.
They sure look pretty but they are shitting all over the place and you can't have a decent conversation between humans anymore.

Appels à projets 2026 : l’Abes et le GIS CollEx-Persée unissent leurs moyens pour le signalement rétrospectif dans le Sudoc et Calames « (…) En 2026, l’Abes et le GIS CollEx-Persée s’associent pour lancer conjointement deux appels à projets dédiés au signalement rétrospectif des collections dans le Sudoc et dans Calames. Le …

Appels à projets 2026 : l’Abes et le GIS CollEx-Persée unissent leurs moyens pour le signalement rétrospectif dans le Sudoc et Calames

Publication du plan d'action 2026 du CCSD. Rendez-vous le 19 janvier à 13h pour une présentation (webinaire sur inscription)

Le CCSD publie son plan d'action 2026 : 20 actions planifiées pour les 3 plateformes @hal-science.bsky.social @episciences.bsky.social et #Sciencesconf
🗓️ webinaire de présentation le 19/01 à 13h
Toutes les infos ▶️ www.ccsd.cnrs.fr/2026/01/publ...
#scienceouverte

1.9 million author entries. 2.1 million affiliation entries. 1.75 million matched to ROR IDs.
That's what our fine-tuned open-weight model extracted from 430,000 arXiv preprints. Join us on 21 Jan to discuss the results.
📅 Register: datacite.zoom.us/meeting/regi...

#VeilleESR RNeST : Registre national des structures de la recherche - FIL'ABES fil.abes.fr/2025/12/23/r...

Résultats du quatrième appel à projets FNSO

Le Comité de pilotage de la science ouverte a retenu 14 projets à l’issue du quatrième appel à projets du Fonds national pour la #scienceouverte.

www.ouvrirlascience.fr/resultats-du...

#FNSO #editionscientifique

🏆 Découvrez le projet RIVAGES Normands 2100, récompensé d'un Prix science ouverte des données de recherche 2025 ⤵️
scienceouverte.univ-rennes.fr/actualites/prix-science-...

ACM! What are these publishers thinking? Abstracts go through peer review. The AI summary isn’t even approved by the author.

Why would they make a design decision hiding the author’s work behind AI?

Some of these publishers are losing trust as distributors of scholarly communication.

Elsevier at its best: they only embrace #openscience when it makes money and does not endanger their assets. Now that Crossref data is CC0 and used by 3rd parties (OpenAlex, Matilda,...), they just keep data in their systems @keanbirch.bsky.social #openresearchinformation @barcelonadori.bsky.social

Logo HAL et titre du billet de blog : Un workflow pour accroître la visibilité et l’impact des logiciels de recherche : le projet SoFAIR

[BLOG] Un workflow pour accroître la visibilité et l’impact des #logiciels de recherche : le projet SoFAIR
@iesinria.bsky.social #scienceouverte @softwareheritage.org
Lire le billet ▶️ www.ccsd.cnrs.fr/2025/12/un-w...

You can read Jonathan Adams’ summary of the Clarivate report in Research Professional News (which Clarivate also owns) here: The US research empire is in retreat. Jonathan writes: Across the board, China appears to be a game-changer for the US’s place in global science. China’s annual research output of papers in journals indexed in Web of Science has grown from fewer than 30,000 in 2000 to more than 850,000 in 2024, passing the US in 2020. China’s citation impact is now also well above the world average. China is less internationally networked than other major research powers: only 20 per cent of its output is internationally co-authored. Once you’ve read the report, you may want to dip into: Why the world must wake up to China’s science leadership and also China accounts for more than half of leading output in the applied sciences.

"China’s citation impact is now also well above the world average."

Sinophobia is about to do more to de-emphasize focus on citation impact metrics than all 13 years of SF DORA combined...

newsletter.journalology.com/p/journalolo...

The @countermetrics.bsky.social AI metrics consultation is LIVE. Check it out at www.countermetrics.org/ai-consultat...

COUNTER Releases Draft: Best Practice Guidance For Reporting #AI Usage; Feedback Welcome www.infodocket.com/2025/12/08/c... #GenAI #scholcomm #publishing #publishers #libraries #metrics @countermetrics.bsky.social

Releasing The Public Interest Corpus Principles and Goals Today, we are pleased to release The Public Interest Corpus **Principles and Goals**. This release builds on the recap of our **final planning workshop** and anticipates release of our final deliverable later this month. Early on in The Public Interest Corpus planning process, we were encouraged by our advisory board to dedicate significant effort to the development of multi-stakeholder informed Public Interest Corpus principles and goals. The principles and goals are intended to support collective decision making as The Public Interest Corpus moves from a planning phase to an implementation phase. Over the course of the year we iteratively developed the principles and goals with feedback from a diverse set of stakeholders (e.g., researchers, authors, librarians, publishers, technologists) across the United States. Hundreds of contributions later we believe we have landed on a set of principles and goals that align interests and lay a path for delivering concrete value to the communities that libraries aim to serve. Special thanks to The Public Interest Corpus **contributors **and the **advisory board.** * * * **Principles and Goals** The Public Interest Corpus works with a growing coalition of stakeholders to develop a service that advances the library community’s ability to support the responsible use of their collections for AI research and development and computational research more generally. The initial focus of the service is on a corpus development, discovery, and access solution for books data (digitized and/or born digital text with metadata) at scale. Some **estimates **suggest that ~162,000,000 books have been created globally, with ~2,200,000 new books published each year. Collectively, libraries steward the most comprehensive source of human inquiry recorded in book form. The Public Interest Corpus is inspired by open corpus development efforts from organizations like **Wikipedia** and **PLEAIS**. The Public Interest Corpus is also encouraged by efforts like the **Institutional Data Initiative** and **European Books Data Commons**. The Public Interest Corpus builds on these efforts by working to provide access to in-copyright as well as public domain books data on terms that are legal and ethical. Academic researchers in particular have a pressing need to gain access to books data at scale, but they face numerous challenges. To start, accessing in-copyright books data for AI development is extraordinarily expensive. The public interest is not well-served by barriers that _de facto_ restrict books data access to the wealthiest for-profit technology companies. Furthermore, in-copyright books data is typically excluded from broader use on an overly narrow licensing basis, weakening transparency and public trust in AI-driven research. Compounding difficulty, researchers leveraging computational methods are faced with a piecemeal data access ecosystem, where access to data must be pursued across numerous sources with variable pricing, policy, and licenses. Given significant administrative and financial barriers, researchers working within and outside of higher education find themselves pulled toward data of less than optimal quality, exhibiting significant biases, lacking comprehensiveness, and made available in a manner that is both legally and ethically problematic. AI researchers and developers must also contend with the fact that many books – public domain and in-copyright – are simply not digitized. Without digitization, the potential of one of humanity’s most comprehensive knowledge bases is simply not usable for AI research and development. Digitization of book collections at scale will require significant, ongoing public and private financial investment. It is essential that contracts supporting public and private digitization partnerships contain terms that safeguard the ability of libraries to combine, enhance, and provide access to data produced through these partnerships. In order to support research, teaching, learning, and new forms of creativity, books data should be made available to researchers in accordance with the law and normative community expectations such as promoting author attribution and working to ensure that data bias is well documented. Making books data available at scale strengthens the ability for researchers to leverage AI and other computational methods to meet public interest challenges like fighting misinformation, strengthening understanding of the past and present, and fostering an informed citizenry. It also enables the development of more focused corpora that support fine-tuning existing models and/or development of small models for tailored use cases. The Public Interest Corpus depends on key partnerships with libraries, publishers, researchers, and minoritized communities represented in collections that form the corpus. In working with The Public Interest Corpus, libraries advance their research support mission by combining collections from many organizations in order to produce the most comprehensive, high quality corpora for research use; publishers will advance their mission by multiplying the impact of works created by authors they support; researchers will guide corpora development to ensure that corpora are optimally usable; and communities represented in collections will help ensure that corpora are curated and provisioned in a responsible manner – i.e., documenting the presence of books that contain outdated, stolen, and/or harmful knowledge about minoritized communities. **What principles guide The Public Interest Corpus?** 1. The Public Interest Corpus … **advances equitable access** to books data for small, medium, and large organizations. 2. The Public Interest Corpus … **supports AI research and development** **and computational research** that addresses public interest challenges (e.g., fighting misinformation, advancing understanding of the past and present, fostering a more informed citizenry). 3. The Public Interest Corpus … **addresses corpus limitations**(e.g., linguistic bias, outmoded forms of knowledge present in the corpus, and data quality) through production of additional metadata in line with efforts like the Hugging Face Model Card and Data Nutrition Label. 4. The Public Interest Corpus … **commits to transparency** with respect to corpus composition, modification, and agreements in order to increase public trust in research that makes use of the corpus. 5. The Public Interest Corpus … **values the labor** of content creators and works to ensure that their work is recognized through promotion of credit and attribution practices. 6. The Public Interest Corpus … **adopts practices and infrastructure** that aim to reduce the environmental impact**** of corpus development, discovery, and access. 7. The Public Interest Corpus … **forms partnerships** that concretely address long-term collective needs of academic libraries and the communities they serve (e.g., maximizing access, reducing legal encumbrances). 8. The Public Interest Corpus …**is fundamentally guided by diverse stakeholders** including but not limited to researchers, librarians, publishers, authors, and technologists. **What goals should The Public Interest Corpus work to achieve?** 1. Coordinate books **data sourcing, discovery, and access** across small, medium, and large organizations. 2. Create **cost efficiencies** in access to books data. 3. **Minimize legal risk** for those that seek to provide or make use of books data. 4. **Curate** and**provide** **access** to **fit-for-purpose** books data that exceeds in **quality** and **comprehensiveness** what is otherwise available. 5. **Ensure** consistent **corpus growth and refinement** over time in alignment with user community needs. 6. Identify and adopt scalable author **credit and attribution methods** for authors and rights holders to track reuse. 7. Deliver**minimum viable solutions**. 8. Adopt a fit for purpose **governance model**. 9. Develop a **sustainability model** that reduces barriers to books data access for small, medium, and large organizations on an ongoing basis. ### Share this: * Click to share on Facebook (Opens in new window) Facebook * Click to share on X (Opens in new window) X * Click to share on Bluesky (Opens in new window) Bluesky * Click to share on LinkedIn (Opens in new window) LinkedIn * * * * ### Discover more from Authors Alliance Subscribe to get the latest posts sent to your email. Type your email… Subscribe

Releasing The Public Interest Corpus Principles and Goals – Authors Alliance www.authorsalliance.org/2025/12/03/releasing-the...

#Communiqué 🗞️ L'@academiesciences.bsky.social et le CNRS signent un accord de coédition pour développer un modèle de publication scientifique en libre accès et gratuit. ✍️

👉 www.cnrs.fr/fr/presse/la...

Model Context Servers - Wiley AI Gateway & PubMed - How Claude can now pilot test search strategies using PubMed The Model Context Protocol may fundamentally change how AI tools access academic content. Rather than AI powered search engines building massive centralised indexes, MCP allows AI models to connect di...

[blogged] Model Context Servers - Wiley AI Gateway & PubMed - How Claude can now pilot test search strategies using PubMed aarontay.substack.com/p/mcp-server...

RE: social.numerique.gouv.fr/@ouvrirlascience/1156496...

L'Université de Rennes représentée pour la première fois parmi les lauréats de ce prix, avec le projet RIVAGES Normands 2100 🏆"Mention spéciale du jury"
https://oseren.univ-rennes.fr/rivagesnormands2100
👏 Bravo à toute […]

Programme de la journée Openalex du 2 décembre 2025

Plus de 330 participant·es pour cette première demi-journée consacrée à #OpenAlex durant laquelle @univlorraine.bsky.social @rennesuniv.bsky.social @epfllibrary.bsky.social @ethz.ch @universitedeliege.bsky.social et @sorbonne-universite.fr ont présenté leurs retours d'expérience #scienceouverte

Image qui annonce la publication par nature d' un commentaire intéressant sur les logiciels de recherche, appelant à enregistrer, partager et valoriser les logiciels produits par la recherche.

Nature publie un commentaire sur les #logicielsderecherche. Le texte propose d’adapter les #principesFAIR aux spécificités du logiciel : FAIR4RS (FAIR for research software).
#scienceouverte #openscience
www.ouvrirlascience.fr/depasser-les...