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elifesciences / elife-tools

Python library for parsing eLife article XML data.
MIT License
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Parse clinical trials related-object tags. #323

Closed gnott closed 4 years ago

gnott commented 4 years ago

Re issue https://github.com/elifesciences/elife-crossref-feed/issues/146

To support adding clinical trials data to Crossref deposits, the data must be parsed from the article XML. They are specified in <related-object> tags present in the <article-meta> tag, sometimes inside the <abstract> but maybe not.

Since some other <related-object> tags may be present in the article-meta, it only looks for tags that have a @source-id-type attribute.

The data structure returned is a list of OrderedDict() containing key value data. This will later be used to populate objects and end up in Crossref and PubMed deposits.

coveralls commented 4 years ago

Coverage Status

Coverage increased (+0.0008%) to 99.711% when pulling 0148a0e0580d4fb4ada910a91177c128f3d13fe7 on clinical-trials into 3f5f796d105e25ec08b1edfdd93594404ed1e0eb on develop.