Software Citations in Political Science

Dados Bibliográficos

ID12377070
AutoresVincent Arel-Bundock (0000-0003-2042-7063, Université de Montréal, autor correspondente), Josh Mccrain (0000-0003-0386-2549, University of Utah)
Ano2023
Volume56
Fascículo3
Páginas398-401
Data de publicação2023-04-06
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPS Political Science & Politics (JOURNAL)
Identificadores do periódicoISSN: 1049-0965 • E-ISSN: 1537-5935
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1049096523000239
OpenAlexW4362668861
IdiomaEN
Referências citadas8

Political scientists rely on complex software to conduct research, and much of the software they use is written and distributed for free by other researchers. This article contends that creating and maintaining these public goods is costly for individual software developers but that it is not adequately incentivized by the academic community. We demonstrate that statistical software is used widely but rarely cited in political science, and we highlight a partial solution to this problem: software bibliographies. To facilitate their creation, we introduce softbib , an R package that scans analysis scripts, detects the software used in those scripts, and automatically creates bibliographies. We hope that recognizing the contribution of software developers to science will encourage more scholars to create public goods, which could yield important downstream benefits

Data science · Package development process · Political science · Politics · Programming language · Public good · Scripting language · Social software engineering · Software analytics · Software construction · Software development · Software engineering · Software peer review · Software walkthrough · World Wide Web · Computational and Text Analysis Methods · Computer Science · Data Analysis with R · Electoral Systems and Political Participation · Law · Software