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Data Management

Data management at George Washington University

Archiving Data: Considerations

Archiving data is one of the last phases in the research lifecycle. Here are a few things to keep in mind during your research project

  • Will the data be useful for secondary analysis?
  • Will you be able to strip out the sensitive variables, but retain the quality of the data?
  • Are you able to document your methodology appropriately?
  • Can people reproduce your findings based on the data and documentation you are able to provide?

If your data is not useful or understandable, then perhaps it should not be archived. If there is any confusion, it is always best to speak with the staff at the data archive or repository you have selected. They will be able to review your data and documentation to better inform you of your archiving and preservation needs.

Humanities and Social Sciences

Science and Engineering

Here are a few repositories dedicated mainly to science and engineering.

More Repositories

Sharing Code

The resources below are repositories dedicated to sharing and distributing code to increase searchability and accessibility.

If you are interested in preserving your code and getting a DOI, check out "Making Your Code Citable," or this GitHub browser widget.

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