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author | Martin Czygan <martin.czygan@gmail.com> | 2020-01-08 23:31:40 +0100 |
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committer | Martin Czygan <martin.czygan@gmail.com> | 2020-01-08 23:31:40 +0100 |
commit | 081746837a55bf5f34c96f12f1abb5a00d5b478c (patch) | |
tree | 88af1ade558ad6695918d36648b3ed4a5bea6954 /python/tests/files/datacite/datacite_result_08.json | |
parent | 27723a61bde5591bae8115d801d0d09b7ef01b03 (diff) | |
parent | 277bd183d7139bb1a8857bc2a48c0aa92012455d (diff) | |
download | fatcat-081746837a55bf5f34c96f12f1abb5a00d5b478c.tar.gz fatcat-081746837a55bf5f34c96f12f1abb5a00d5b478c.zip |
Merge branch 'martin-datacite-import'
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
...
Diffstat (limited to 'python/tests/files/datacite/datacite_result_08.json')
-rw-r--r-- | python/tests/files/datacite/datacite_result_08.json | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/python/tests/files/datacite/datacite_result_08.json b/python/tests/files/datacite/datacite_result_08.json new file mode 100644 index 00000000..70237280 --- /dev/null +++ b/python/tests/files/datacite/datacite_result_08.json @@ -0,0 +1,57 @@ +{ + "abstracts": [ + { + "content": "International society recognizes that the scarcity of fresh water is increasing and farming sectors suffer from lack of irrigation water. However, if we look at this issue with a framework of relative factor endowment, a different view will arise. In emerging states with rapid industrialization and labor migration, labor scarcity increases at a faster pace than that of irrigation water. Using the historical review of Japan's irrigation policies as well as the case studies of India and China, this paper shows that the introduction of policies which do not reflect the actual relative resource scarcity may mislead the development path. We argue that under increasing relative labor scarcity it is important to realize the substitution of capital for labor for surface irrigation system management and that the substitution needs public support because the service of surface irrigation system has some externalities. Through this argument, this paper also intends to shed the light back to the role of the state for local resource management which seems to be unfairly undervalued since the boom of community participatory approach in the 1980s.", + "lang": "en", + "mimetype": "text/plain" + } + ], + "contribs": [ + { + "given_name": "Kei", + "index": 0, + "raw_name": "Kei Kajisa", + "role": "author", + "surname": "Kajisa" + }, + { + "given_name": "Kei", + "index": 1, + "raw_name": "Kei Kajisa", + "role": "author", + "surname": "Kajisa" + } + ], + "ext_ids": { + "doi": "10.22004/ag.econ.284864" + }, + "extra": { + "datacite": { + "metadataVersion": 1, + "resourceType": "Text", + "resourceTypeGeneral": "Text", + "subjects": [ + { + "subject": "Land Economics/Use" + }, + { + "subject": "irrigation", + "subjectScheme": "keyword" + }, + { + "subject": "industrialization", + "subjectScheme": "keyword" + }, + { + "subject": "collective action", + "subjectScheme": "keyword" + } + ] + } + }, + "language": "en", + "refs": [], + "release_type": "article-journal", + "release_year": 2017, + "title": "Irrigation Policies under Rapid Industrialization and Labor Migration: Lessons from Japan, China and India" +} |