Data Classification & Data Security
Assessing whether your data need certain kinds of protection and then finding the appropriate environment(s) that allow you to perform your research in the most efficient manner can be a challenging task.
Before sharing data involving human subjects, researchers should ensure that the dataset poses a low risk of re-identifying subjects. If your data contains legally protected or sensitive information or removing identifiers would diminish its utility, you should consider sharing it through repositories that support access restrictions and impose limitations for data re-use and re-sharing. Additionally, the agreements made with participants through the Institutional Review Board (IRB) can also impose limitations on the extent to which data involving human subjects can be shared.
