The case for data sharing in traditional, complementary, and integrative medicine research

Area of Science:

• Integrative Medicine
• Public Health
• Data Science

Background:

• Traditional, Complementary, and Integrative Medicine (TCIM) research is expanding globally.
• There is a growing need for rigorous research to integrate TCIM therapies into mainstream healthcare.
• Data sharing is crucial for advancing TCIM research, enhancing reproducibility, and fostering collaboration.

Purpose of the Study:

• To explore the unique nature of TCIM research and the importance of data sharing.
• To acknowledge the complexities and challenges associated with data sharing in TCIM.
• To propose frameworks and strategies for effective data sharing in TCIM.

Main Methods:

• Literature review and analysis of current data sharing practices in TCIM.
• Exploration of challenges including standardization, cultural sensitivity, intellectual property, and technical barriers.
• Examination of the CARE Principles for Indigenous Data Governance as a potential framework.

Main Results:

• Data sharing in TCIM research faces significant challenges, including a lack of standardized practices and cultural considerations.
• The CARE Principles offer a valuable framework for ethical and culturally sensitive data governance.
• Strategies such as developing standardized protocols and investing in infrastructure are essential.

Conclusions:

• Advancing data sharing in TCIM research is critical for evidence-based healthcare and addressing global health disparities.
• Implementing ethical data governance principles is paramount for respecting indigenous knowledge.
• Collaboration and investment are needed to overcome barriers and maximize the benefits of TCIM data sharing.