Das DFG-Projekt Transform2Open widmet sich der Weiterentwicklung von Budgets, Kriterien, Kompetenzen und damit verbundenen Prozessen an wissenschaftlichen Einrichtungen rund um die finanziellen Dimensionen der Open-Access-Transformation.
Please select a country in the dropdown menu below to see the values for the 6 dimensions. After a first country has been selected, a second and even a third country can be chosen to be able to see a comparison of their scores.
An expanded collaboration agreement between CERN and the OAPEN Foundation sees the Laboratory directly hosting the OAPEN Library and the Directory of Open Access Books in its Data Centre
Der Deutsche Bibliotheksverband e.V. vertritt mit seinen fast 2.100 Mitgliedern über 9.000 Bibliotheken mit 25.000 Beschäftigten und elf Mio. Nutzer*innen. Sein zentrales Anliegen: die Stärkung der Bibliotheken für einen freien Zugang zu Medien und Informationen für alle Bürger*innen.
A self assessment tool for improving software practices
Software engineering is a systematic approach to the design, development, and maintenance of a software system. Teams seldom have the time to stop development and focus solely on improving productivity or sustainability. However, teams can incorporate improvements on the way to developing new science capabilities.
The tools on this site will help you:
Assess your current practices
Create progress tracking cards
Integrate tracking cards with your workflow
The self-assessment introduces software engineering practices that increase in maturity. Check the practices that your project already uses to rate your project.
Take the survey by clicking the button below or sign in to customize your survey and save the results directly to your project repository!
Our mission is to support orphans and vulnerable people globally. We believe that all children should be given the opportunity to learn and grow equally, regardless of their background, family situation or geopolitical environment.
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.
