Predicting the longevity of resources shared in scientific publications

Research has shown that most resources shared in articles (e.g., URLs to code or data) are not kept up to date and mostly disappear from the web after some years (Zeng et al., 2019). Little is known about the factors that differentiate and predict the longevity of these resources. This article explores a range of explanatory features related to the publication venue, authors, references, and where the resource is shared. We analyze an extensive repository of publications and, through web archival services, reconstruct how they looked at different time points. We discover that the most important factors are related to where and how the resource is shared, while surprisingly little consideration is given to the author’s reputation or prestige of the journal. By examining the places where long-lasting resources are shared, we suggest that it is critical to educate researchers on modern sharing technologies. Finally, we discuss implications for reproducibility and acknowledge scientific datasets as first-class citizens of science.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-05-22
DOI
https://doi.org/10.1057/s41599-025-04716-z
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00

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article

Predicting the longevity of resources shared in scientific publications

Tong Zeng, Lizhen Liang, Han Zhuang, Daniel E. Acuña et al.
Humanities and Social Sciences Communications
scientometrics and bibliometrics research
article

Predicting the longevity of resources shared in scientific publications

Tong Zeng, Lizhen Liang, Han Zhuang, Daniel E. Acuña, Jian Jian
article en

Abstract

Research has shown that most resources shared in articles (e.g., URLs to code or data) are not kept up to date and mostly disappear from the web after some years (Zeng et al., 2019). Little is known about the factors that differentiate and predict the longevity of these resources. This article explores a range of explanatory features related to the publication venue, authors, references, and where the resource is shared. We analyze an extensive repository of publications and, through web archival services, reconstruct how they looked at different time points. We discover that the most important factors are related to where and how the resource is shared, while surprisingly little consideration is given to the author’s reputation or prestige of the journal. By examining the places where long-lasting resources are shared, we suggest that it is critical to educate researchers on modern sharing technologies. Finally, we discuss implications for reproducibility and acknowledge scientific datasets as first-class citizens of science.

Humanities and Social Sciences CommunicationsVol. 12(1)
NetApp (United States) (US), University of Colorado Boulder (US), Eastern Institute of Technology, Ningbo, Syracuse University (US), Virginia Tech (US)
National Science Foundation, Syracuse University
Openalex Percentile: Top 89%
scientometrics and bibliometrics research
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