Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data

Trends Genet. 2019 Mar;35(3):223-234. doi: 10.1016/j.tig.2018.12.006. Epub 2019 Jan 25.


Data commons collate data with cloud computing infrastructure and commonly used software services, tools, and applications to create biomedical resources for the large-scale management, analysis, harmonization, and sharing of biomedical data. Over the past few years, data commons have been used to analyze, harmonize, and share large-scale genomics datasets. Data ecosystems can be built by interoperating multiple data commons. It can be quite labor intensive to curate, import, and analyze the data in a data commons. Data lakes provide an alternative to data commons and simply provide access to data, with the data curation and analysis deferred until later and delegated to those that access the data. We review software platforms for managing, analyzing, and sharing genomic data, with an emphasis on data commons, but also cover data ecosystems and data lakes.

Keywords: cancer genomics clouds; data clouds; data commons; data sharing.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Big Data
  • Biomedical Research / trends
  • Cloud Computing / trends*
  • Computational Biology / trends
  • Genomics / methods*
  • Humans
  • Information Dissemination / methods*
  • Software*