/DOEDA

Primary LanguagePythonMIT LicenseMIT

DOEDA (/duːda/)

Design of Exepriments Database, or DOEDA, is a database that gathers information about experiments that were perfomed using an experimental design. The main goal of DOEDA is to provide a central interface to easily acess all experiments.

For each experiment, the database provides the following information:

  • Title: A short description of the experiment.
  • Run size: The number of experimental runs.
  • Design: actual dataset of the experiment. Each element in design contains:
    • Name: name of the variable.
    • Uncoded: uncoded levels of the variable, if available in the original dataset.
    • Coded: coded levels of the variables.
    • Levels: number of levels.
    • Units: physical units for the uncoded levels, if available in the original dataset.
  • Response: the different repsonse variables of the experiment. Each element is a different response variable and contains:
    • Name: name of the variable.
    • Value: acutal values of response variable for each experimental run.
    • Units: physical units of the response variable if available.
  • Multilevel: flag indicating if the experiment has factors with different number of levels.
  • Description: a more detailed description of the experiment and the variables used.
  • DOI: a DOI string to identify the source of the data.
  • Source: another reference to the source of the original dataset, if the DOI is not available.
  • Keywords: a list of keywords to identify the main characteristics of the experiment.

A list of all possible keywords that can be used to describe the characteristics of the experiment is available in the glossary