mirror of https://github.com/ilri/csv-metadata-quality.git synced 2025-01-24 11:13:22 +01:00

Go to file

csv_metadata_quality/check.py: Always return field

We always need to return the field back so apply doesn't set it to
null when creating the new data frame.

2019-07-27 01:28:08 +03:00

csv_metadata_quality

csv_metadata_quality/check.py: Always return field

2019-07-27 01:28:08 +03:00

data

Move tests.csv to data directory

2019-07-27 00:02:47 +03:00

tests

Add initial tests

2019-07-27 00:36:40 +03:00

.build.yml

.build.yml: Fix setup script

2019-07-27 00:41:57 +03:00

LICENSE.txt

Add GPLv3 license

2019-07-26 22:16:16 +03:00

Pipfile

Add pytest to pipenv dev environment

2019-07-27 00:32:53 +03:00

Pipfile.lock

Add pytest to pipenv dev environment

2019-07-27 00:32:53 +03:00

README.md

README.md: Add SourceHut build badge

2019-07-26 23:59:31 +03:00

requirements-dev.txt

Add requirements-dev.txt

2019-07-27 00:33:52 +03:00

requirements.txt

Add requirements.txt

2019-07-26 23:54:07 +03:00

README.md

CSV Metadata Quality

A simple but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem. Supports multi-value fields using the standard DSpace value separator ("||").

Written and tested using Python 3.7.

Checks

Supports checking the validity of the following metadata elements:

ISSN
ISBN
Multi-value separators

Fixes

Supports fixing the following metadata issues:

Leading, trailing, and excessive whitespace

Todo

Reporting / summary
Real logging

License

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.