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The FAIR data principles were first proposed in a seminal paper published in 2016 in the Journal Scientific Data. It was written by a group of international experts in data management and curation. To address the challenges that the research community is facing, they proposed FAIR Principles as a framework for making data more discoverable, accessible, interoperable, and reusable.
These principles quickly gained traction across the scientific community. They have since been widely adopted as best practice for data management in a variety of fields, including healthcare and life sciences (HCLS). In this post, we will take a closer look at how HCLS organizations can build data-driven applications on AWS, by adopting the FAIR scientific data management principles.