The Overlap Between FAIR for Research Software and Open Science

Humanity has a mix of overlapping goals that relate to science (and more broadly, wissenschaft). We seek new knowledge for its own purpose as well as for its potential solution to both detailed and general problems, situations, and crises. And we want to be able to verify (or disprove) such knowledge (reproducibility), then build on it (reuse), as simply and as cost-effectively as possible. In this talk, I will focus on knowledge captured in research software, which can be both read, executed, and extended. Specifically, we have developed a new set of FAIR (findable, accessible, interoperable, and reusable) Principles for Research Software, which serve an overlapping purpose with open science. This talk will incude: the role of software in research, the FAIR for Research Software Principles, the community that developed them, the next steps in their implementation, and systematic challenges that need to be addressed for software to be more FAIR and for it to better help meet humanity's science goals