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Does open data boost journal impact: evidence from Chinese economics
1School of Innovation and Entrepreneurship, Shandong University, Jimo District, Qingdao, Shandong province China.
Scientometrics
|February 22, 2021
Summary
Mandatory open data policies significantly increase journal article citations. This study found that open data boosted citations for China Industrial Economics (CIE) articles and created positive spillover effects for earlier publications.
Area of Science:
- Economics
- Bibliometrics
- Scholarly Communication
Background:
- Journals increasingly require open data to enhance research transparency and reproducibility.
- The impact of open data policies on journal influence remains empirically understudied.
Purpose of the Study:
- To empirically assess the effect of mandatory open data policies on journal impact.
- To evaluate the influence of open data on article citation rates in economics.
Main Methods:
- Utilized a natural experiment from China Industrial Economics (CIE), the first Chinese journal to mandate open data.
- Applied the synthetic control method to a dataset of 37 Chinese economics journals (2001-2019) for causal inference.
- Analyzed citation counts for articles published before and after the open data policy implementation.
Main Results:
- Open data significantly increased journal article citations.
- Articles published by CIE experienced a 1-4 times increase in current- and second-year citations.
- A positive spillover effect was observed for articles published prior to the open data policy.
Conclusions:
- Compulsory open data policies can enhance journal reputation and academic impact.
- Open data initiatives represent a viable strategy for journals to amplify their influence.
- The findings support the broader adoption of open data mandates in academic publishing.
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