Engaging Scientists in Central Asia on Life Science Data Governance Principles
Product details
- ISBN 9780309706629
- Dimensions: 152 x 229mm
- Publication Date: 19 May 2024
- Publisher: National Academies Press
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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To facilitate scientific progress and collaboration while also protecting personal privacy, the integrity of research investments, and national security, it is important for life science data to be collected, digitized, secured, and shared responsibly. To exchange experiences and collaboratively discuss best practices for protecting life science data and promoting responsible data sharing in Central Asia, the U.S. National Academies of Sciences, Engineering, and Medicine convened a workshop series titled Engaging Scientists in Central Asia on Life Science Data Governance Principles, held virtually across six 2-hour sessions in May and June 2023. The workshop series brought together early-career and established scientists, along with experts in data science, cybersecurity, and law, from Kazakhstan, Kyrgyzstan, Tajikistan, the United States, Uzbekistan, and elsewhere to explore existing policies and practices, gaps and limitations, fundamental concepts relevant to data governance, and opportunities for improvement in data sharing practices and governance structures.
Table of Contents- Front Matter
- Overview
- Introduction
- 1 The Life Science Research Landscape in Central Asia
- 2 Data Governance Principles for Life Science Research Across the Globe
- 3 Opportunities and Challenges for Life Science Data Sharing
- 4 Life Science Data Governance in Practice
- 5 Examples of Existing and Needed Practices for Cyber- and Data Security in the Life Sciences
- 6 Implementing Best Practices for Life Science and Biological Data Governance
- References
- Appendix A: Statement of Task
- Appendix B: Workshop Agendas
- Appendix C: Workshop Planning Committee Biographies
- Appendix D: Workshop Participants
- Appendix E: Commissioned Papers
- Appendix F: Data Governance Resources