When publicly sharing data, there are 3 levels of documentation that should be deposited as well: Project-level (e.g. project-summary document), data-level (e.g., README explaining your datasets), and variable-level (e.g., data dictionary). Find templates for each below. 👇 Project-summary template, to describe the who, what, where, and when of your project.
osf.io/q6g8d

(1/4) When publicly sharing your data it's important to share documentation along with your data. Readmes, data dictionaries, and project documentation can ensure that future users understand both the contents and context of your data. Templates in comments below.
#edresearch (2/4) It can be helpful to add Readmes to the top of your directories to provide information on what datasets are available in the directory and pertinent information about those datasets.
docs.google.com/document/d/1rb…

I have been wanting to learn more about #openscience and #datasharing so I have been attending some awesome webinars (which are now recorded and available online). I wanted to share links to these in case others were interested. (1/5) The @OSFramework gave a one hour webinar on Supporting Solutions Across the Open Research Lifecycle. It was a great step by step walk through using their platform. (2/5)