We are in the process of preparing the first release for the Data Carpentry lessons, and we are using the R ecology lesson as a test case to structure and formalize the release process and get information for future Software and Data Carpentry releases.
We have gathered a series of issues on GitHub under the "2017-02 release" milestone that are relevant to this release. We are seeking volunteers to address these issues. Most can be done quickly. We want as many eyes as possible on the lessons to catch as many typos and bugs as possible to have a stable version of the lesson that will be taught for the next 3 months. We plan to release the lesson on February 17.
Between now and February 17, the content of the lesson is frozen. At this stage, we will only merge pull requests pertaining to typos and bug fixes in the code. However, if you find parts of the lesson that can be improved, things that should be added or removed, please do open issues and file pull requests, we will consider them after the release.
While we tried to be comprehensive in the issues we have created to capture what needs to happen to have a stable and clean lesson, we welcome feedback on elements of the lessons that we have not captured in the issues.
If you would like to be involved, go to https://github.com/datacarpentry/R-ecology-lesson/milestone/1. Several of these issues are relevant for each chapter of the lesson, but you are welcome to address the issue for only one or a few of the chapters. If you find typos or bugs, you can either report them by listing them as comments on the issues, or you can address them by creating a pull request. If you go through a lesson checking for typos and don't find any, please leave a comment on the appropriate issue so we know that someone went through it.
If you have any questions or comments, feel free to contact me, or comment on the issue here: https://github.com/datacarpentry/R-ecology-lesson/issues/190