Andrew Anderson provides an overview of how lab-based organizations prepare data sources and ensure that existing data sets are normalized, curated, and machine-readable so that they can be used for AI/ML projects in the future
Understand what FAIR data means for scientists like you, the goals and benefits. Read the Blog Post
Andrew Anderson provides an overview of how lab-based organizations prepare data sources and ensure that existing data sets are normalized, curated, and machine-readable so that they can be used for AI/ML projects in the future