Replication Data for: Software Citations in Political Science

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. We argue that creating and maintaining these public goods is very costly for individual software developers, but that it is not adequately incentivized by the academic community. We demonstrate that statistical software is widely used but rarely cited in political science, and we highlight a partial solution to this problem: software bibliographies. To facilitate their creation, we introduce an \texttt{R} package which scans analysis scripts, detects the software used in those scripts, and creates bibliographies automatically. We hope that recognizing the contribution of software developers to science will encourage more academics to create public goods, which could yield important downstream benefits.