The authors review and analyze the current state of computer science research software in order to give recommendations for making computer science research software FAIR and open. They observe that research software publishing practices in computer science and in computational science show significant differences.

The Research Data Alliance (RDA) COVID-19 Working Group members bring various, global expertise to develop a body of work that comprises how data from multiple disciplines inform response to a pandemic combined with guidelines and recommendations on data sharing under the present COVID-19 circumstances

An open source community-driven guide to reproducible, ethical, inclusive and collaborative data science.

The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility, interoperability and reusability of digital research objects for both humans and machines. Until now the FAIR principles have been mostly applied to research data. The ideas behind these principles are, however, also directly relevant to research software.