#skills4eosc — Public Fediverse posts

🔓 De 2022 à 2025, l’Inist a contribué au projet européen #Skills4EOSC, dédié au développement des compétences en science ouverte et en gestion des données de recherche 🇪🇺.

👉 https://www.inist.fr/realisations/linist-engage-dans-skills4eosc-pour-un-ecosysteme-europeen-de-formation-en-science-ouverte/

🔓 De 2022 à 2025, l’Inist a contribué au projet européen #Skills4EOSC, dédié au développement des compétences en science ouverte et en gestion des données de recherche 🇪🇺.

👉 https://www.inist.fr/realisations/linist-engage-dans-skills4eosc-pour-un-ecosysteme-europeen-de-formation-en-science-ouverte/

Last week we had tons of amazing discussions on #metadata for #TrainingMaterials #OER during our @NFDI #DiscoRSE #Quadriga #hackathon at @ZBMED

Thanks to all participants!

We worked on crosswalks and mappings including #SchemaOrg #LearningResource @dini @dalia #Bioschemas #AMB #Skills4EOSC

Results will be published in @zenodo_org Keep an eye to our updates on social media if you are interested in the topic.

The final conference of the #Skills4EOSC project, "Building Capacity for Open Science: Skills4EOSC Approaches to Training, Resources, and Networks for a Transparent and Collaborative Future", will take place on June 11, 2025, at Campus Condorcet in Paris.

https://www.skills4eosc.eu/news/skills4eosc-final-conference-june-11-2025-in-paris

Bienvenue aux partenaires du projet #OSYR (Open Science for Young Researchers) pour le lancement officiel à LILLIAD, Université de Lille !

Plus d'infos 👉 https://bu.univ-lille.fr/actualites/detail-actualite/save-the-date-lancement-du-projet-osyr

cc @SO_UPSaclay @UniversitedeLiege @SO_UnivRennes
@univrennes2 #skills4EOSC @ouvrirlascience
#scienceouverte

The #Skills4EOSC project aims to create a coordination network of Competence Centres for Open & FAIR science.

At #OSFAIR2023, we spoke with the coordinator Emma Lazzeri about the project and about #GARR’s #OpenScience initiatives in #Italy 🇮🇹 👉 https://connect.geant.org/2023/11/15/nrens-at-the-open-science-fair-2023-interview-with-emma-lazzeri-garr

The interview is also featured on #CONNECT44, the latest issue of the GÉANT CONNECT Magazine 👉 https://connect.geant.org/connect44

#Training #FAIR #FAIRdata #CompetenceCentres #Competences #Research #Science #EOSC #GARR

The #Skills4EOSC project aims to create a coordination network of Competence Centres for Open & FAIR science.

At #OSFAIR2023, we spoke with the coordinator Emma Lazzeri about the project and about #GARR’s #OpenScience initiatives in #Italy 🇮🇹 👉 https://connect.geant.org/2023/11/15/nrens-at-the-open-science-fair-2023-interview-with-emma-lazzeri-garr

The interview is also featured on #CONNECT44, the latest issue of the GÉANT CONNECT Magazine 👉 https://connect.geant.org/connect44

#Training #FAIR #FAIRdata #CompetenceCentres #Competences #Research #Science #EOSC #GARR

Still thinking of professional networks and #Skills4EOSC: I don't think any of the items in the landscape/mapping dataset https://doi.org/10.5281/zenodo.7591902 is listed as a professional association (which some definitely are) in #Wikidata: https://w.wiki/6n73

Still thinking of professional networks and #Skills4EOSC: I don't think any of the items in the landscape/mapping dataset https://doi.org/10.5281/zenodo.7591902 is listed as a professional association (which some definitely are) in #Wikidata: https://w.wiki/6n73

Also interesting: the C in #Skills4EOSC stands for Commons, not Cloud as usual in #EOSC

Also interesting: the C in #Skills4EOSC stands for Commons, not Cloud as usual in #EOSC

I'm intrigued by this "Mapping of professional networks", https://doi.org/10.5281/zenodo.7591920 from the #Skills4EOSC project.
Authors admit their "systematic desktop research" with Google makes the research not reproducible. Dataset needs cleaning too and is incomplete, probably bad search-engine optimisation.
My conclusion: there are too many networks.

I'm intrigued by this "Mapping of professional networks", https://doi.org/10.5281/zenodo.7591920 from the #Skills4EOSC project.
Authors admit their "systematic desktop research" with Google makes the research not reproducible. Dataset needs cleaning too and is incomplete, probably bad search-engine optimisation.
My conclusion: there are too many networks.