Organizing Your Data

Use systematic naming

For quickly finding and sorting files and folders, the names should be consistent but unique. Avoid special characters and spaces (use underscores instead). Consider including the following elements:

    • project name/acronym
    • experiment/instrument type
    • site location information (if applicable)
    • researcher initials
    • date (consistently formatted, i.e. YYYY-MM-DD)
    • version number

Likewise, name your folders and directories systematically. Do not depend on folder names to describe files since they may be moved around in the future. Adding a brief text or README file to a folder will help in understanding the content and context in the future.

Track versions

You may need to go back to your original data, so keep track of versions. Always save an untouched copy of the raw data, and do not alter it! Only analyze, sort, refine, or other otherwise manipulate a copy of the original file.

File Formats

Whenever possible, save a copy of your data in a plain text format for long-term preservation. Current software may change versions or even become entirely defunct rendering the file unreadable in the future.  For a quick overview, considerations are summarized in a File Format Support Matrix.

Describing Files (a.k.a Metadata)

Providing a description makes sure that important information about how your data was collected is not lost. This description is called “metadata” (data about data), and as more people use the data, the more important metadata becomes. Metadata not only answers questions that are discipline-specific like what instrument was used or the geographic location of sampling, but also very general questions like who created the data, meanings of abbreviations, etc.

Some disciplines have well-defined metadata standards (see the Digital Curation Centre’s resource), while others do not. A simple README file is a good solution in the absence of guidance (see Cornell University’s Guide to writing “readme” style metadata).

RDS Services for Organizing Your Data

Need help developing and implementing an organizational system? Contact us! We also can help you find specific tools to convert file formats, track versions, and create metadata.


Content on this page has been adapted from Cornell University’s Research Data Management Service Group website with permission under CC BY 3.0 US.