FAIR data has been on everybody’s lips for a while. Many think that FAIR software will become “the next big thing” in eScience. Reasons enough to devote a session at the National eScience Symposium to the discussion of FAIR and its meaning for research software.
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By Daina Bouquin, Christopher Ball, Anna-Lena Lamprecht, Catherine Jones, Tyler J. Skluzacek. Containers, virtual machines, Jupyter notebooks, web applications, and data visualisations that run in a browser are all examples of complex digital objects made up of multiple components. Each of those components may have unique dependencies (hardware, software, external datasets, etc.) and different “authors”. Each component will also have different expected functionalities and may even have different licenses.