Research software is often abandoned or shut down, for one reason or another. While some reasons may be straightforward, e.g. a sole maintainer has moved on, or grant funding has ceased - some projects are able to withstand these barriers and may remain active and maintained despite adversity. This study monitors open source projects over the period of a year, measuring common performance indicators, to see if any indicators are common to projects that remain sustainable and active. This study uses mixed methods: Initial survey gathers info about the project age, leadership, and GitHub (or other source control) URLs. Participants are asked to add a short notice to their readme. After the initial survey, we gathered information about the GitHub projects such as number of contributors, number of PRs, time taken to close/merge these PRs, and issues closed. Some of this info is gathered using scripts, and other parts are gathered manually. An example of a manual metric is the Code of Conduct - while we can programmatically check for the existence of CodeOfConduct.md, we can’t easily check for enforcement contacts without manual checks. 6 months and 12 months after the initial survey, we send follow up surveys, and in month 12 we re-run the GitHub metrics to compare to month 0. For more study info see: https://sustainable-open-science-and-software.github.io/

New version: 1) Added a combined dataset, which matches months 0, 6, and 12 on the projectidentifier. 2) added a question / column name lookup sheet.