Open Science

Open Science is a general term that encompasses all the practices, tools, and resources that support the transparent, collaborative, and reproducible conduct of research. This includes open access to publications and data, the use of open source software, and the development of open standards. It aims at increasing the visibility and accessibility of scientific research, foster greater collaboration among researchers, and improve the quality and impact of science.

As describe before, making experimental results (including uncertainties and covariances), along with a clear explanation of the analysis process, is a key element to allow a proper inclusion of results in evaluations. Following the methods and principles of Open Science will help to ensure that the results are published and fully available to all, along with a proper documentation to make sense of them.

We can describe Open Science by three majors pillars : Open Access, Open Data and Open Source.

Tip

I recommend the Moocs “La science ouverte”, “Reproducible research: methodological principles for transparent science”, and “Reproducible Research II: Practices and tools for managing computations and data” if you want to learn more on the topic. The Université de Strasbourg - Science Ouverte bibliography list on Zotero, curated by N. Cobolet is also a great source of information and references.

• Open Access
  • Open Access Publishing Models
  • Legal and funding requirements
  • Benefits and disadvantages of Open Access
  • Conclusion on Open Access
• Open Data
  • The bare necessities
  • True Open Data: the Fair principles
  • Metadata, metadata, metadata
  • DMP (i.e.) What we should have started with
• Open Source
  • Writing Open Source code
  • Source code publication
• Distribution licenses
  • Creative Commons
  • CeCIll
  • European Union Public License (EUPL)
  • LICENCE OUVERTE etaLab
  • The issue of Open Access licenses for nuclear data