LINUX FOUNDATION RESEARCH

We’re investigating the impact of open source collaboration to solve the world’s most pressing challenges.

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About LF Research

LF Research publishes actionable and decision-useful insights into open source software, hardware, standards, and data based on empirical research methodologies. Through leveraging community networks, project databases, surveys, and qualitative findings, and through its commitment to best practices in primary research, Linux Foundation Research is the definitive home for data-driven insights into open source for the benefit of governments, enterprises, and society at large.

Census III of Free and Open Source Software

In this report, LF Research partnered with OpenSSF and the Laboratory for Innovation Science at Harvard to study the most common packages used at the application library level.

 

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Participate in Our Research

Join the LF Research Forum and participate in our surveys and interviews to give back to your community and earn events & training discounts!

Interested in conducting research?

Review our prospectus for more information, and email us at research@linuxfoundation.org

 

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Mentorship in Open Source

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In partnership with CNCF, ELISA, Hyperledger Foundation, Open Mainframe Project, OpenSSF, and LF Training and Certification, Mentorship in Open Source examines the intrinsic, economic, and career value of mentorship programs throughout the technology industry and among open source organizations such as the Linux Foundation. 

The report explores:

  • Succession and diversity challenges across open source projects

  • The history of mentorships within academia, open source organizations, and the origin of the LFX Mentorship program within the Linux Foundation

  • Mentorship program challenges and benefits

It concludes with a set of actionable insights for the community to help scale Mentorship programs at the Linux Foundation and within the industry as a whole.

Author:

  • Jason Perlow, Editorial Director, The Linux Foundation
  • With a foreword by Julia Lawall, Senior Scientist, French National Research Institute for Digital Science and Technology (Inria-Paris)

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