This tutorial provides a tour of five main topics:
The first set of boxes below this box link out to resources related to the topics above.
OTHER RESOURCES ON THIS PAGE
Understanding the "data life cycle" helps you think systematically about data issues relevant to your research.
Some resources from UC San Diego:
There has been a movement to support "open data" that parallels efforts to make journal articles "open access".
Making your data publicly accessible is a service to other researchers. Doing so can help others replicate your results, or enhance your research impact, or give your research greater credibility.
You may want to mention relevant open data repositories if you are submitting a data management plan for a grant application.
Here are some articles that can get you started on exploring this toic:
Preregistration challenge from Center for Open Science
"Preregistration adds credibility to results by documenting in advance what will be tested. If you have a project that is entering the data collection phase, preregister now.
Makes your science better by increasing the credibility of your results
Allows you to stake your claim to your ideas earlier
It’s easy and you can win a $1,000 prize for publishing the results of your preregistered research."
"OSF is a free, secure web application for project management, collaboration, registration, and archiving. Stop losing files, improve collaboration, and integrate OSF projects with the tools you use (e.g., Dropbox, GitHub, Figshare, Dataverse)."
Resources for analyzing your data:
For assistance in identifying or using software useful for analyzing your data, contact the help desk .