Research Data Management

Check out this excellent collection of curation primers which will give you advice about how to prepare your data based on its subject (i.e. archeology), the technology you use (i.e. SPSS, python, excel, etc.) and a variety of other project dimensions (whether a project is highly collaborative, etc).

Tired of trying to print essay_final_final_FINAL_MOSTFINAL.docx? It might be time to save yourself a headache and find out how to make your files machine readable, human-readable, and cooperative with default ordering.

If you are embarrassed to navigate your project directory in front of your supervisor, it might be time to take a look at the above advice. Standardizing how you organize your file folders can make it easier to find and share your projects, especially if you're having to move between projects and return to them over time.

A good README file can make the difference between whether or not other researchers understand or trust your dataset.