This article explains how healthcare and life sciences (HCLS) organizations can implement FAIR scientific data principles using AWS services to build effective data lakes.

• FAIR principles make data Findable, Accessible, Interoperable, and Reusable for research collaboration
• HCLS faces data fragmentation, privacy concerns, lack of standardization, and data silos
• Amazon S3 and AWS Glue Data Catalog enable data discovery and centralized metadata management
• Amazon DataZone provides data cataloging, governance, and simplified access to analytics
• Amazon HealthLake supports FHIR format and semantic interoperability with health ontologies
• Amazon Omics enables storage and analysis of genomic and transcriptomic data at scale
• AWS services support open formats and protocols without vendor lock-in
• Data versioning, IAM, and Lake Formation provide access controls and data governance

AWS services enable HCLS organizations to adopt FAIR principles, improving data sharing, collaboration, and research outcomes while maintaining security and compliance.