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The Critical Path Institute's approach to precompetitive sharing and advancing regulatory science
R L Woosley1, R T Myers, F Goodsaid
1Critical Path Institute, Tucson, Arizona, USA. RWoosley@C-Path.org
Pharmaceutical industry collaboration lagged behind other sectors until the US Food and Drug Administration (FDA) Critical Path Initiative. This initiative encouraged data sharing and precompetitive collaborations, benefiting the public.
Area of Science:
- Biopharmaceutical industry
- Drug development
- Regulatory science
Background:
- Historically, the pharmaceutical industry has prioritized competition over collaboration.
- Other industries, like computer chip manufacturing and television development, have benefited from precompetitive collaborations on standards and applied science.
- This competitive landscape often hindered broad advancements and public benefit.
Purpose of the Study:
- To highlight the historical lack of precompetitive collaboration in the pharmaceutical industry.
- To identify the catalyst for change in pharmaceutical data sharing and collaboration.
- To underscore the potential benefits of collaborative efforts in drug development.
Main Methods:
- Comparative analysis of industry collaboration models.
- Review of historical pharmaceutical industry practices.
- Examination of the impact of the US Food and Drug Administration (FDA) Critical Path Initiative.
Main Results:
- Precompetitive collaborations are common and successful in sectors like technology and media.
- The pharmaceutical industry demonstrated limited willingness to share data and knowledge.
- The FDA's Critical Path Initiative (launched in 2004) marked a turning point, encouraging greater collaboration.
Conclusions:
- Industry-wide collaborations, particularly in precompetitive areas, can accelerate scientific and technological advancement.
- The pharmaceutical sector's shift towards collaboration, spurred by regulatory initiatives, has the potential to benefit all stakeholders and the public.
- Encouraging precompetitive research and data sharing is crucial for addressing complex challenges in drug development.
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