Does open data boost journal impact
Evidence from Chinese economics
Bibliographic Data
| ID | 21443096 |
|---|---|
| Authors | Liwei Zhang (0000-0002-2299-8268, Shandong University), Liang Ma (0000-0002-3013-4726, Renmin University of China, corresponding author) |
| Year | 2021 |
| Volume | 126 |
| Issue | 4 |
| Pages | 3393-3419 |
| Publication date | 2021-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-021-03897-z |
| PMID | 33612885 |
| OpenAlex | W3133226455 |
| Language | EN |
| Citations received | 3 |
| References cited | 63 |
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
China · Data science · Economics · Leverage (statistics) · Open data · Open Science · Political science · Reputation · Spillover effect · Statistics · Transparency (behavior) · World Wide Web · Computer Science · Law · Research Data Management Practices · Scientific Computing and Data Management · scientometrics and bibliometrics research
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The conundrum of sharing research data
Reproducible Research in Computational Science
How open science helps researchers succeed
Synthetic Control Methods for Comparative Case Studies
Questions about NgAgo
Preliminary analysis of Covid-19 academic information patterns
Data Access and Research Transparency (DA-RT)
Comparative Politics and the Synthetic Control Method
Mandating Sharing
The Economic Costs of Conflict
Open Data for Science, Policy, and the Public Good
| Unique citing works | 3 |
|---|---|
| Citations per year | 0.75 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |