This dataset documents the academic institutionalization of Shakespeare studies in China, derived from systematic searches in the China National Knowledge Infrastructure (CNKI) database. It provides annual counts of peer-reviewed journal articles from 1978-2010, and master's theses and doctoral dissertations from 2010-2019 that contain the keyword 'Shakespeare'.
Use Cases
- Analyze trends in annual counts of peer-reviewed journal articles to study the growth of Shakespeare scholarship in China.
- Compare the volume of master's theses and doctoral dissertations to assess the development of graduate-level training in Shakespeare studies.
- Examine the temporal distribution of all three publication types to identify periods of intensified academic focus on Shakespeare.
Strengths
- Data is derived from CNKI, described as the most comprehensive academic database in China.
- Covers a long temporal range from 1978 to 2019, spanning over four decades.
- Distinguishes between three levels of scholarly production: journal articles, master's theses, and doctoral dissertations.
Limitations
- The dataset is limited to publications containing the exact keyword 'Shakespeare', potentially missing relevant works using synonyms or Chinese translations.
- Sample data and specific row/column counts are unavailable, making the dataset's scale and granularity unclear.
- The data for journal articles ends in 2010, while theses/dissertations data begins in 2010, creating a temporal gap for comparative analysis across all types post-2010.
Provenance
- Source
- China National Knowledge Infrastructure (CNKI)
- Collection Method
- Systematic searches using the keyword 'Shakespeare'.
- Time Range
- 1978 to 2019 (journal articles: 1978-2010; theses/dissertations: 2010-2019).
- Freshness
- null
- Geography
- China