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Keywords for manual field assignment for Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science
Cite this dataset:
Lee, Jou; Schneider, Jodi (2023): Keywords for manual field assignment for Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8847584_V1
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Dataset Description

We used these keywords to identify categories for journals and conferences not in Scopus, for our manuscript "Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science".

These 4 text files each contains a keywords in the form: 'keyword1', 'keyword2', 'keyword3', ..... The file title indicates the name of the category:

HealthScience.txt
LifeScience.txt
PhysicalScience.txt
SocialScience.txt

Each file was generated from a combination of software and manual review in an iterative process in which we:
- First included keywords found using Yet Another Keyword Extractor on the Scopus source list as of January 2023 .
- Second, assigned journals and conferences to one or more categories, when they matched a keyword from that category list.
- Reviewed uncategorized items to manually curate additional keywords in English and close cognates (e.g., Kardiologie). Titles in other languages or using terminology with multiple potential meanings were left uncategorized.
Subject Social Sciences
Keywords scientometrics; field; keywords; science of science; meta-science; RISRS
License CC0
Funder Alfred P. Sloan Foundation-Grant:G-2022-19409
Corresponding Creator Jodi Schneider
Downloaded 75 times
Version DOI Comment Publication Date
2 10.13012/B2IDB-8847584_V2 Added: one author and stopwords.txt file 2023-09-19
1 10.13012/B2IDB-8847584_V1 2023-05-02
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2.55 KB File
1.84 KB File
2.03 KB File
1.75 KB File

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