Understanding Software in Research: Initial Results from Examining Nature and a Call for Collaboration

June 20, 2017 Β· Declared Dead Β· πŸ› IEEE International Conference on e-Science

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Authors Udit Nangia, Daniel S. Katz arXiv ID 1706.06527 Category cs.SE: Software Engineering Citations 25 Venue IEEE International Conference on e-Science Last Checked 4 months ago
Abstract
This lightning talk paper discusses an initial data set that has been gathered to understand the use of software in research, and is intended to spark wider interest in gathering more data. The initial data analyzes three months of articles in the journal Nature for software mentions. The wider activity that we seek is a community effort to analyze a wider set of articles, including both a longer timespan of Nature articles as well as articles in other journals. Such a collection of data could be used to understand how the role of software has changed over time and how it varies across fields.
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