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.

Featured Research: Open Source and Energy Interoperability

In partnership with Natural Resources Canada and LF Energy, LF Research explores how open source projects and communities can play a vital role in building modern, robust, interoperable, and impactful energy infrastructure, with the aim of accelerating greater collaboration for energy stakeholders the world over.

 

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Participate in our surveys, give back to your community, and earn events and training discounts!

Interested in conducting research?

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

 

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A Road Map to Improve the Effectiveness and Impact of Enterprise Open Source Development

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As open source continues to grow at the enterprise level, there is increasing recognition of the challenges inherent to enterprise open source consumption and contribution and the ways to address these challenges. This report covers several practices that enterprises can adopt to effectively participate in open source, including:

  • Hiring developers from the project’s community

  • Allocating time for upstream contributions

  • Setting up a mentorship program

  • Implementing inner sourcing practices

  • And more!

These practices make up a useful toolbox for companies that are looking to both earn and maintain their open source leadership and be valuable participants in their ecosystem.

Author: Ibrahim Haddad, Ph.D, Executive Director, LF AI & Data and Pytorch Foundation

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