Easy to use, web-based version of the DSpace CSV Metadata Quality checker application. https://fierce-ocean-30836.herokuapp.com
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Alan Orth 1dbc58eaa6
runtime.txt: use Python 3.10.5
5 months ago
.github/workflows .github/workflows/python-app.yml: use Python 3.10 10 months ago
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Online DSpace CSV Metadata Quality Checker

Build Status Code style: black

Screenshot of csv-metadata-quality-web on Heroku

You can try the hosted version or host it yourself (see below).


Create a Python 3.8+ virtual environment and install the dependencies:

$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt

Running Locally

$ gunicorn csv_metadata_quality_web.main

And then visit http://localhost:8000/ in your browser.

Deploying to Heroku

Install the heroku command line tools, add a heroku git remote, and push:

$ git push heroku


This work is licensed under the GPLv3.

The license allows you to use and modify the work for personal and commercial purposes, but if you distribute the work you must provide users with a means to access the source code for the version you are distributing. Read more about the GPLv3 at TL;DR Legal.