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Human genome and open source: balancing ethics and business.
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.
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.
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