Describing Data

Describing your data helps you and others to understand it in the future. Learn more about:

New to metadata? Check out Metadata 101 from the Emory Libraries.

Metadata standards

Selecting a metadata standard or schema does not compel you to use it to its fullest extent. You can use as much (or as little) as you need. To search for more metadata standards by discipline, see the Metadata Directory from the Research Data Alliance.

General Purpose schemas

Science schemas

Social Science schemas

Humanities schemas

  • Text Encoding Initiative (TEI): guidelines for encoding texts in digital formats using markup language. The TEI community contributes tools for authoring, editing, and publishing TEI documents.
  • VRA Core (Visual Resources Association): "data standard for the description of images and works of art and culture."

Documentation and README files

Documentation of your data should include information such as:

  • Title of dataset, investigator names, creation date, and keywords.
  • Purpose of study, research questions, and hypotheses.
  • Sampling techniques, methodology, and experimental protocols.
  • Equipment/instrument settings.
  • Description of independent and dependent variables.
  • Software syntax and code.
  • File formats, content, size, and relationship among files.
  • Data identifiers (DOI, URI).
  • Data source, provenance, and copyright permissions.
  • Associated presentations/manuscripts/articles.

This information can be included in the metadata that describes your files, or in supplemental files you maintain with your dataset, such as a codebook, data dictionary, or syntax files with code to replicate your process.

The Mozilla Science Lab's Planning for Data Reuse Checklist can help you outline the information to include with your data.

README files are another option to document your data. This typically takes the form of a plain text file that provides context for the data collection.

Cornell University's Research Data Management Service Group has a helpful Guide to writing “readme” style metadata to go with your data, including a sample README file template.

Need Help?

Emory librarians can help with your research data management needs. Schedule a consultation to review your data management plan, or get help selecting a data repository and preparing your data for deposit.

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