From bd984f3db5781190e62678a82bbc981c0431fa35 Mon Sep 17 00:00:00 2001 From: Alan Orth Date: Thu, 22 Aug 2019 15:07:03 +0300 Subject: [PATCH] README.md: Update TravisCI badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 527ba5a..612180c 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# CSV Metadata Quality [![Build Status](https://travis-ci.org/alanorth/csv-metadata-quality.svg?branch=master)](https://travis-ci.org/alanorth/csv-metadata-quality) [![builds.sr.ht status](https://builds.sr.ht/~alanorth/csv-metadata-quality.svg)](https://builds.sr.ht/~alanorth/csv-metadata-quality?) +# CSV Metadata Quality [![Build Status](https://travis-ci.org/ilri/csv-metadata-quality.svg?branch=master)](https://travis-ci.org/ilri/csv-metadata-quality) [![builds.sr.ht status](https://builds.sr.ht/~alanorth/csv-metadata-quality.svg)](https://builds.sr.ht/~alanorth/csv-metadata-quality?) A simple, but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem. The implementation is essentially a pipeline of checks and fixes that begins with splitting multi-value fields on the standard DSpace "||" separator, trimming leading/trailing whitespace, and then proceeding to more specialized cases like ISSNs, ISBNs, languages, etc. Requires Python 3.6 or greater. CSV and Excel support comes from the [Pandas](https://pandas.pydata.org/) library, though your mileage may vary with Excel because this is much less tested.