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Does open data boost journal impact: evidence from Chinese economics

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Listed:
  • Liwei Zhang

    (Shandong University)

  • Liang Ma

    (Renmin University of China)

Abstract

To encourage research transparency and replication, more and more journals have been requiring authors to share original datasets and analytic procedures supporting their publications. Does open data boost journal impact? In this article, we report one of the first empirical studies to assess the effects of open data on journal impact. China Industrial Economics (CIE) mandated authors to open their research data in the end of 2016, which is the first to embrace open data among Chinese journals and provides a natural experiment for policy evaluation. We use the data of 37 Chinese economics journals from 2001 to 2019 and apply synthetic control method to causally estimate the effects of open data, and our results show that open data has significantly increased the citations of journal articles. On average, the current- and second-year citations of articles published with CIE have increased by 1 ~ 4 times, and articles published before the open data policy also benefited from the spillover effect. Our findings suggest that journals can leverage compulsory open data to develop reputation and amplify academic impacts.

Suggested Citation

  • Liwei Zhang & Liang Ma, 2021. "Does open data boost journal impact: evidence from Chinese economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3393-3419, April.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:4:d:10.1007_s11192-021-03897-z
    DOI: 10.1007/s11192-021-03897-z
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    1. Liwei Zhang & Liang Ma, 2023. "Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2803-2818, May.
    2. Kang, Yankun & Leng, Xuan & Liao, Yunxiang & Zheng, Shilin, 2024. "Information disclosure, spillovers, and knowledge accumulation," China Economic Review, Elsevier, vol. 84(C).
    3. Ma, Xiaowei & Jiao, Hong & Zhao, Yang & Huang, Shan & Yang, Bo, 2024. "Does open data have the potential to improve the response of science to public health emergencies?," Journal of Informetrics, Elsevier, vol. 18(2).
    4. Josip Strcic & Antonia Civljak & Terezija Glozinic & Rafael Leite Pacheco & Tonci Brkovic & Livia Puljak, 2022. "Open data and data sharing in articles about COVID-19 published in preprint servers medRxiv and bioRxiv," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2791-2802, May.
    5. Barbara McGillivray & Paola Marongiu & Nilo Pedrazzini & Marton Ribary & Mandy Wigdorowitz & Eleonora Zordan, 2022. "Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences," Publications, MDPI, vol. 10(4), pages 1-40, October.

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