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Data Management Best Practices: File Organization

File Naming Best Practices

There are two general rules for file organization: Be consistent and Be descriptive. You want to make sure you and your colleagues can find anything you and they are looking for quickly. You'll need to figure out which specifics make the most sense to you and document your convention in a place everyone in your research group can follow. Here are some guidelines to include in your convention:

  • Avoid special characters (See this page for more info) in a file name. Common things to avoid are using spaces or ampersands (&).
    So don't name a file WBS+-+Final.docx or Research Data(finsished & final)!!!.csv

  • Use capitals (camel case) or underscores instead of periods or spaces. 
    Example: surveyResponseData.csv or survey_response_data.csv
  • Use documented & standardized descriptive information about the project/experiment.
    Have a standard for your research group so things can easily be found and shared.
  • Use 25 or fewer characters whenever possible
  • Use date format ISO 8601: YYYYMMDD 
    The year first format makes it easy to find newest/oldest files. Wikipedia has a nice page about about additional ISO 8601 date and time standards.

Version Control

How and when to save a new version is largely up to you and your research partners. Even if you're tracking changes with the software you're using, you should always keep a copy of the original unedited data available and save a new version when substantial changes are made

Most file naming conventions show new version by including a version number at the end of the file name, as in the example below, although there are other methods. Best practice is to be consistent.

  • Example: dataMgmtNotesv5.txt [instead of, say, dataMgmtNotesFinalAgainReally2.txt]

Tools for File Renaming

Tools for Version Control

Also search Research DataQ for answers