Predicting the longevity of resources shared in scientific publications

Bibliographic Data

ID22236086
AuthorsDaniel E Acuna (0000-0002-7765-1595, University of Colorado Boulder, corresponding author), Jian JIAN (NetApp (United States)), Tong Zeng (0000-0002-5533-8506, Virginia Tech), Lizhen Liang (0000-0001-9329-2767, Syracuse University), Han Zhuang (0000-0002-4617-6496, Eastern Institute of Technology, Ningbo)
Year2025
Volume12
Issue1
Publication date2025-05-22
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-025-04716-z
OpenAlexW4410604853
LanguageEN
References cited32

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

Data science · Longevity · Computer Science · Medicine · Research Data Management Practices · Scientific Computing and Data Management · scientometrics and bibliometrics research · Gerontology

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