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Marriott Reparative Metadata Assessment Tool (MaRMAT) GUI

The MaRMAT GUI is a graphical application built using Tkinter in Python. This tool allows users to match terms from a problematic terms lexicon file with text data from a collections metadata file, facilitating metadata cleanup and analysis.

Overview

The application provides the following functionalities:

  • Load CSV files for both lexicon and metadata.
  • Select specific columns from the metadata for analysis.
  • Choose an identifier column in the metadata to relate back to the original dataset.
  • Select categories of terms from the lexicon for searching.
  • Perform matching to find terms in selected metadata columns and export results to a CSV file.

Features

  • User Interface: Utilizes Tkinter for a GUI interface.
  • File Loading: Supports loading CSV files for lexicon and metadata.
  • Column Selection: Allows users to choose specific columns from metadata for term analysis.
  • Identifier Selection: Enables selection of an identifier column for linking matched terms back to the original metadata.
  • Category Selection: Provides options to select categories of terms from the lexicon for matching.
  • Matching Process: Performs regex-based term matching across selected metadata columns and chosen lexicon categories.
  • Output: Exports matched data to a CSV file for further analysis or use.

Getting Started

To use the MaRMAT GUI, follow these steps:

  1. Download the RMA-GUI-2.52.py file.
  2. Download one of our sample lexicons in the Code folder, or create your own.
  3. Download the metadata you want to assess as a CSV file.
  4. Open the RMA-GUI-2.52.py file and follow the prompts.

Using the Tool

1. Load Lexicon and Metadata:

  • Follow on-screen instructions to load your lexicon and metadata CSV files using the provided buttons.

2. Perform Analysis:

  • Select columns from your metadata for analysis.
  • Choose an identifier column for matching results back to the original dataset.
  • Select categories of terms from the lexicon for analysis.
  • Click "Perform Matching" to find matches and export the results as a CSV file.

Additional Notes

Dependencies: Ensure you have Python 3.x and the pandas library installed as per the installation instructions.

Contact

For any questions or support, please contact Kaylee Alexander.