README files are standard for software, but they provide useful basic documentation for datasets as well. Get up to speed on efficiently writing useful README files for datasets and software in this short class. We’ll cover some common things you should include in these files, as well as how to provide a citation to ensure you get credit for your hard work, and we will share links to resources. Save yourself time and trouble – if you are sharing data or software, you need READMEs!
---- Data Bites workshop series
Join the MIT Libraries Data Management Services team on Zoom during IAP 2024 for bite-sized half-hour workshops on specific data management topics. Register for one or all!
* Tuesday, January 9, 1pm: Writing better READMEs
* Thursday, January 11, 1pm: Using the Dryad data repository
* Tuesday, January 16, 1pm: Backing up your stuff
* Thursday, January 18, 1pm: Using Zenodo with GitHub to archive your code
We are also teaching the following in-depth workshops:
* File Organization
* Data Management for Postdocs and Research Scientists [in person]
* NIH Data Management and Sharing Plans
