| Commit message (Collapse) | Author | Age | Files | Lines |
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In particular, with daily updates in most cases the DOI will be
registered first, then the entity updated with PMID when that is
available. Often the pubmed metadata will be more complete, with
abstracts etc, and we'll want those improvements.
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It seems like OUP pre-registers DOIs with this place-holder title, then
updates the Crossref metdata when the paper is actually published. We
should wait until the real title is available before creating an entity.
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pubmed and arxiv harvest preparations
See merge request webgroup/fatcat!28
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Address kafka tradeoff between long and short time-outs. Shorter
time-outs would facilitate
> consumer group re-balances and other consumer group state changes
[...] in a reasonable human time-frame.
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* add PubmedFTPWorker
* utils are currently stored alongside pubmed (e.g. ftpretr, xmlstream)
but may live elsewhere, as they are more generic
* add KafkaBs4XmlPusher
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Should probably be refactored out in to shared cleanup code.
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Seeing a bunch of these due to re-ingests not including this field
because of an earlier persist bug.
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Records from https://www.micropublication.org/ did not have a date in
FC, although raw data contained date strings - they were not using the
finer-grained "attributes.date" but "attributes.published" and/or
"attributes.publicationYear".
Support for those fields has been added, including a test case.
During this test (#30) a processing gap for names became clear (author
may have "given_name" and "surname", but no "name"). This bug has been
fixed, too.
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Should be backwards compatible with old ingest results.
Fixed a bug with glutton ident detection.
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Pipfile.lock is broken.
* martin-datacite-import: (68 commits)
datacite: pass in doi into factored out method
datacite: reformat test cases and use jq . --sort-keys
datacite: factor out contributor handling
datacite: catch type mismatch in language detection
datacite: adjust tests for release_month
datacite: name extra.month, extra.release_month
datacite: mark additional files as stub
datacite: CCDC are entries, mostly
datacite: use more specific release_type, if possible
datacite: ignore certain names
datacite: over 3% records have the same title: stub
datacite: fill a few more release_type gaps
datacite: adding datacite-specific extra metadata
datacite: apply pylint suggestions
datacite: fix typos
datacite: set release_stage to published by default
datacite: month field should be top-level
datacite: include month in extra
datacite: indicate mismatched file in test
datacite: clean abstracts, use unknown value tokens
...
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Use values from:
* attributes.creators[]
* attributes.contributors[]
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The GBIF (https://www.gbif.org/) deposits most records under the titles:
* 599243 GBIF Occurrence Download
* 41176 Occurrence Download
Mark them as "stub" for the moment
(https://guide.fatcat.wiki/entity_release.html#release_type-vocabulary).
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* citeproc: http://docs.citationstyles.org/en/stable/specification.html#appendix-iii-types
* resourceTypeGeneral: https://schema.datacite.org/meta/kernel-4.0/doc/DataCite-MetadataKernel_v4.0.pdf#page=32
* resourceType: uncontrolled, over 170000 distinct values, frequent:
null, Dataset, JournalArticle, PGRFA Material, Journal Article,
Dataset/UNITE Species Hypothesis, ...
General frequency:
* "attributes.types": 18210075,
* "attributes.types.ris": 18058890,
* "attributes.types.bibtex": 18058888,
* "attributes.types.citeproc": 18058890,
* "attributes.types.schemaOrg": 18058929,
* "attributes.types.resourceType": 12737988,
* "attributes.types.resourceTypeGeneral": 16576139,
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* attributes.metadataVersion
* attributes.schemaVersion
* attributes.version (source dependent values, follows suggestions in
https://schema.datacite.org/meta/kernel-4.3/doc/DataCite-MetadataKernel_v4.3.pdf#page=26,
but values vary)
Furthermore:
* attributes.types.resourceTypeGeneral
* attributes.types.resourceType
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