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Human genome and open source: balancing ethics and business.

Antonio Marturano¹

¹Faculty of Economics, Sacred Heart Catholic University of Rome, Rome, Italy.

Revista De Derecho Y Genoma Humano = Law and the Human Genome Review

|September 19, 2012

Summary

The Human Genome Project utilized open-source models, fostering rapid research dissemination. This analysis explores ethical and legal aspects of open-source in human genome property rights, advocating for its balance of business and human rights.

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Area of Science:

Genomics
Bioinformatics
Intellectual Property Law

Background:

The Human Genome Project's completion relied heavily on computational techniques.
The open-source model facilitated rapid sharing and feedback of research findings among scientists.
Open-source approaches gained prominence over proprietary models in scientific research.

Purpose of the Study:

To analyze ethical and legal issues arising from using computer models in human genome property rights.
To evaluate the open-source business model's suitability for genomic research.
To argue for the open-source model's capacity to balance commercial interests and human rights.

Main Methods:

Literature review of open-source adoption in the Human Genome Project.
Analysis of ethical considerations in genomic data sharing.
Examination of legal frameworks governing intellectual property in human genetics.

Main Results:

The open-source model proved effective in accelerating the Human Genome Project.
Significant ethical and legal questions emerge regarding human genome property rights.
The open-source approach offers a viable framework for managing these complexities.

Conclusions:

Open-source methodologies are crucial for advancing large-scale scientific endeavors like the Human Genome Project.
Addressing ethical and legal challenges in human genome property rights requires careful consideration of data accessibility and ownership.
The open-source model presents a robust solution for harmonizing business objectives with fundamental human rights in genomics.