CSV Data Dictionary


  1. Create a CSV data dictionary using the CSV_dd_template. You can create either:    a. One data dictionary for each data file or    b. One data dictionary representing all data files in your dataset

  2. See the CSV_dd_quick_guide for more details about completing the template

  3. Enter a new row in the data dictionary for each column/row name in your data matrix    a. Use "*" wildcard when the description applies to multiple column/row names    b. For example - if the same description applies to all spectra data column names in the data file(s)          i. one row in the data dictionary can refer to "wave_*\" and this definition will be understood to apply to multiple column names within a data sheet

  4. View an example CSV_dd_example

  5. Save the CSV_dd template following the CSV Reporting Format guidance with the filename "dd.csv" or "*_dd.csv". Alternatively you may choose to name you data dictionary:    a. With the same name as the associated data file, but include '_dd.csv' at the end of the file name    b. Create a unique filename for your data dictionary    c. Incorporate a wildcard into the filename if data dictionary applies to multiple data files (for example - "soilcores*_dd.csv")

Contents of the CSV_dd

For each variable provide the following:

  • Column or Row Name

  • Unit

  • Definition

  • Column or Row Long Name

  • Data Type


Following the recommended format and structure of the CSV Reporting Format will facilitate File-level Metadata extraction of some fields using the File Level Metadata Extractor.

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