Expanding and Remixing the Metadata Landscape

Abstract

Genomic data sharing accelerates research. Data are most valuable when they are accompanied by detailed metadata. To date, metadata are often human-annotated descriptions of samples and their handling. We discuss how machine learning-derived elements complement such descriptions to enhance the research ecosystem around genomic data.

Keywords: data sharing; genomics; machine learning; metadata.