The Leibniz Strategy Forum Open Science examines the effects of participatory tools and Open Science on the scholarly system
Data Protection: http://zbw.to/OfNVS
Imprint: http://zbw.to/JDMxO
| Website | https://www.leibniz-openscience.de |
| Open Science Conference | https://www.open-science-conference.eu |
| Barcamp Open Science | https://www.barcamp-open-science.eu |
"In support of open science, PLOS Biology routinely asks authors to openly share their research code before publication. We are now formalizing this practice with a mandatory code-sharing policy and clarifying what we talk about when we talk about code."
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003678
Das Joint Lab Future Libraries & Research Data kann einen neuen Meilenstein verzeichnen: Der erste Basiskurs im Forschungsdatenmanagement (FDM) fand Ende Januar das erste Mal statt und war ein voller Erfolg. Der vierstündige Workshop richtet sich gezielt an Lehrende, die Studierende und Promovierende bei ihren Qualifizierungsarbeiten betreuen, und vermittelt praxisnahe Tipps, um bereits Studierenden den Umgang mit Forschungsdaten näherzubringen.
📝 New post 🚀
"Openness, transparency and reach: three reasons why public institutions should embrace the Fediverse"
mentioning @europeanspodcast @haubles @aral @Gargron @tferrer @rstockm @samvie @EUCommission
#SocialMedia #FOSS #DigitalSovereignty #SocialSovereignty #policy #BigTech #Fediverse #TheFutureIsFederated #RSS #SocialWeb
Der „Academic Freedom Monitor 2025“ des Europäischen Parlaments stellt fest, dass akademische Freiheit in der EU ein wesentliches Grundrecht ist, das trotz insgesamt vergleichsweise hohem Niveau in vielen Mitgliedstaaten unter Druck gerät. Der Bericht analysiert zudem aktuelle Trends und politische Optionen zur Stärkung des Schutzes der Wissenschaftsfreiheit.
👉 Download: https://www.europarl.europa.eu/thinktank/mt/document/EPRS_STU(2026)774721
"This article aims to highlight the problem of unclear, inconsistent and potentially misleading terminology in the rapidly evolving field of artificial intelligence (AI). It underscores the need for the scientific community to establish coherent and precise AI-related terminology."
Purpose. This article aims to highlight the problem of unclear, inconsistent and potentially misleading terminology in the rapidly evolving field of artificial intelligence (AI). It underscores the need for the scientific community to establish coherent and precise AI-related terminology.Design/methodology/approach. To illustrate the issue of terminological inconsistency, the article analyzes two terms: “AI peer review” and “AI ethics.” The analysis shows that the former is conceptually flawed, while the latter is used in several different ways, even among experts. These two terms serve as examples of a more general terminological issue. While not all AI-related terms are problematic, there is currently no systematic understanding of which ones are accurate and which are not. For this, a case-by-case evaluation is needed, a difficult, complex and time-consuming task – and yet of high importance.Findings. The analysis reveals that AI terminology remains underdeveloped and confusing. This creates challenges for both scientific communication and public understanding. Despite the fast pace of AI development, it is not too late to address this issue. However, doing so will require timely and coordinated action from the scientific community, particularly those working directly in AI.Originality/value. By focusing on terminology rather than technical or ethical aspects, the article draws attention to a critical but often neglected dimension of AI discourse. It offers a timely call for the scientific community to take responsibility for defining and consistently using clear, accurate language in AI-related contexts.
"If you’ve ever dreamed of a self-updating CV, you can make it a reality using DataCite-ORCID auto-update functionality. When you use your ORCID iD during a data submission via a DataCite member repository, and grant permissions to DataCite in DataCite Profiles, that work can automatically appear on your ORCID record."
https://info.orcid.org/orcid-and-datacite-supercharge-your-research-visibility/
Elena Rossini ⁂
