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Review
. 2021 Apr;7(4):276-278.
doi: 10.1016/j.trecan.2020.10.011. Epub 2020 Nov 20.

Expanding and Remixing the Metadata Landscape

Ariel A Hippen  1 , Casey S Greene  2
Affiliations
Review

Expanding and Remixing the Metadata Landscape

Ariel A Hippen et al. Trends Cancer. 2021 Apr.

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.

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Figures

Figure 1.
Figure 1.. A Schematic of Sample Characteristics and How They Relate to Metadata for a Hypothetical Piece of Tumor Tissue.
Metadata can include elements curated from records that describe a patient or those related to the process of sample collection and quantification. They can also include elements estimated from sequencing data, which may include elements like biological age that are not directly observable or extractable from existing records. Abbreviation: PC, principal components.
See this image and copyright information in PMC

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