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Summary Analysis of the 2017 GitHub Open Source Survey

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  • Geiger, R. Stuart

Abstract

This report is a high-level summary analysis of the 2017 GitHub Open Source Survey dataset, presenting frequency counts, proportions, and frequency or proportion bar plots for every question asked in the survey. This report was generated from a Jupyter notebook that can be found on OSF at http://doi.org/10.17605/OSF.IO/ENRQ5.

Suggested Citation

  • Geiger, R. Stuart, 2017. "Summary Analysis of the 2017 GitHub Open Source Survey," SocArXiv qps53, Center for Open Science.
    • Handle: RePEc:osf:socarx:qps53
    DOI: 10.31219/osf.io/qps53
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    Cited by:

    1. Uchenna Daniel Ani & Jeremy McKendrick Watson & Madeline Carr & Al Cook & Jason RC Nurse, 2022. "A review of the use and utility of industrial network-based open source simulators: functionality, security, and policy viewpoints," The Journal of Defense Modeling and Simulation, , vol. 19(3), pages 263-286, July.
    2. Haim Faridian, Parisa, 2023. "Leading open innovation: The role of strategic entrepreneurial leadership in orchestration of value creation and capture in GitHub open source communities," Technovation, Elsevier, vol. 119(C).

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