Long-Term Digital Storage and Usage of Research Data: Data Pooling

In the quickly evolving field of scientific research, securing, utilizing, and maintaining access to large datasets over extended periods is very important. This chapter examines the challenges connected to the long-term digital storage and use of research data, focusing on data pooling. Because of the increasing amount and complexity of data generated in biomedical research, finding a storage solution that is scalable and sustainable is significant. Creating robust data governance frameworks, addressing data security and privacy issues, and defining the roles of data stewards in biomedical research programs are critical steps. Based on the principles of the Open Science, this chapter supports a structured approach to ensure the authenticity, accuracy, and reliability of biomedical data for long-term access. In addition, integrating biomedical datasets offers new opportunities for collaborative analysis and promotes synergies between translational, and clinical research. This chapater emphasizes the importance of strategic decisions concerning data retention policies that require collaboration with funding agencies, research communities, and established repositories for the long-term development of scientific knowledge.