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Related Experiment Video

Updated: Aug 20, 2025

Applications for Open Source Microplate-Compatible Illumination Panels
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Ten simple rules for funding scientific open source software.

Carly Strasser1, Kate Hertweck1, Josh Greenberg2

  • 1Chan Zuckerberg Initiative, Redwood City, California, United States of America.

Plos Computational Biology
|November 17, 2022
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Summary
This summary is machine-generated.

Funding scientific open source software (OSS) requires addressing scholarly credit, labor, maintenance, governance, and community. This study offers 10 essential rules for investing in scientific OSS and its dedicated development teams.

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Area of Science:

  • * Scientific computing and research infrastructure.
  • * Open source software (OSS) development and maintenance.

Background:

  • * Growing dependence of scientific research on open source software (OSS).
  • * Challenges in funding OSS development, including scholarly credit, labor, maintenance, governance, and community building.
  • * Cross-disciplinary relevance of OSS funding issues for funders and institutions.

Purpose of the Study:

  • * To provide actionable guidelines for investing in scientific OSS.
  • * To address the unique challenges associated with funding OSS development and maintenance teams.
  • * To establish a framework for supporting the scientific OSS ecosystem.

Main Methods:

  • * Not explicitly detailed in the abstract, but implies a synthesis of best practices and expert recommendations.
  • * Development of a set of 10 guiding principles for investment.

Main Results:

  • * Presentation of 10 simple rules for investing in scientific OSS.
  • * Focus on critical areas: scholarly credit, labor, maintenance, governance, and inclusive community-building.

Conclusions:

  • * Strategic investment in scientific OSS is crucial for research advancement.
  • * Addressing the specific needs of OSS teams fosters sustainability and inclusivity.
  • * The proposed rules offer a generalized approach for funders and institutions.