Citation method, please? A case study in astrophysics
Alice Allen

TL;DR
This study investigates the effectiveness of sending software citation metadata files to authors in astrophysics, finding low adoption rates and highlighting the need for better citation practices to credit software contributions.
Contribution
It provides empirical evidence on the limited impact of distributing citation metadata files to software authors in astrophysics.
Findings
Only 41% of code sites had citation info available.
Sending metadata files did not increase their adoption.
Lack of citation info hinders credit to software developers.
Abstract
Software citation has accelerated in astrophysics in the past decade, resulting in the field now having multiple trackable ways to cite computational methods. Yet most software authors do not specify how they would like their code to be cited, while others specify a citation method that is not easily tracked (or tracked at all) by most indexers. Two metadata file formats, codemeta.json and CITATION.cff, developed in 2016 and 2017 respectively, are useful for specifying how software should be cited. In 2020, the Astrophysics Source Code Library (ASCL, ascl.net) undertook a year-long effort to generate and send these software metadata files, specific to each computational method, to code authors for editing and inclusion on their code sites. We wanted to answer the question, "Would sending these files to software authors increase adoption of one, the other, or both of these metadata…
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Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Data Analysis with R
