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.

ROI for Open Source Software Contribution

What is the benefit of contributing to open source? In this study, LF Research has tackled this question through the analysis of results from a survey and quantitative model on contribution ROI. 

 

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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!

 

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Interested in conducting research?

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

 

2025 Napa LFMS Stephanie Hilary Nithya

An Open Architecture for Health Data Interoperability

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No matter how you engage in your healthcare system – as patient, provider, researcher, administrator, IT manager – you will almost always experience issues with the exchange and portability of data. Recognizing the way that open source has increased interoperability in other sectors, LF Research decided to study how and where open source has been applied in health data management, and what role it plays in increasing health data portability. 
 
This qualitative report reviews the unique characteristics of the healthcare sector, the lack of interoperability between its data systems, and how generative AI represents a catalyzing opportunity to address these issues. The author discusses the (mis)perceptions of open source and how it could benefit the sector, concluding with a recommendation to develop an architecture of standards and technologies to increase innovation and data sharing. 
 
Read the full report to learn more about open source solutions for health data!
 
Author:
  • Anna Hermansen, The Linux Foundation
  • Foreword by Leo Anthony Celi, MIT Laboratory for Computational Physiology

DOI: 10.70828/XELG8546

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