Data and Code Availability in Political Science Publications from 1995 to 2022

Abstract In this article, we assess the availability of reproduction archives in political science. By “reproduction archive,” we mean the data and code supporting quantitative research articles that allows others to reproduce the computations described in the published article. We collect a random sample of quantitative research articles published in political science from 1995 to 2022. We find that—even in 2022—most quantitative research articles do not point to a reproduction archive. However, practices are improving. In 2014, when the DA-RT symposium was published in PS: Political Science and Politics , about 12% of quantitative research articles point to the data and code. Eight years later, in 2022, that has increased to 31%. This underscores a massive shift in norms, requirements, and infrastructure. Still, only a minority of articles share the supporting data and code. In 2014, Lupia and Alter wrote, “Today, information on the data production and analytic decisions that underlie many published works in political science is unavailable.” They could write the same today; much work remains to be done.

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Publication Details

Journal
PS Political Science & Politics
Published
2025-02-20
DOI
https://doi.org/10.1017/s1049096524001276
Citations
4
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
10.68
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article

Data and Code Availability in Political Science Publications from 1995 to 2022

H.S.J. Roe, Qing Wang, Carlisle Rainey, Hao Zhou
4 citations
PS Political Science & Politics
Computational and Text Analysis Methods
10.68
article

Data and Code Availability in Political Science Publications from 1995 to 2022

H.S.J. Roe, Qing Wang, Carlisle Rainey, Hao Zhou
article en
4 citations

Abstract

Abstract In this article, we assess the availability of reproduction archives in political science. By “reproduction archive,” we mean the data and code supporting quantitative research articles that allows others to reproduce the computations described in the published article. We collect a random sample of quantitative research articles published in political science from 1995 to 2022. We find that—even in 2022—most quantitative research articles do not point to a reproduction archive. However, practices are improving. In 2014, when the DA-RT symposium was published in PS: Political Science and Politics , about 12% of quantitative research articles point to the data and code. Eight years later, in 2022, that has increased to 31%. This underscores a massive shift in norms, requirements, and infrastructure. Still, only a minority of articles share the supporting data and code. In 2014, Lupia and Alter wrote, “Today, information on the data production and analytic decisions that underlie many published works in political science is unavailable.” They could write the same today; much work remains to be done.

PS Political Science & PoliticsVol. 58(2)
Florida State University (US)
Openalex Percentile: Top 3%
Computational and Text Analysis Methods
10.68
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