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Data commons collate data with cloud computing infrastructure and commonlyused software services, tools and applications to create biomedical resourcesfor the large-scale management, analysis, harmonization, and sharing ofbiomedical data. Over the past few years, data commons have been used toanalyze, harmonize and share large scale genomics datasets. Data ecosystems canbe built by interoperating multiple data commons. It can be quite laborintensive to curate, import and analyze the data in a data commons. Data lakesprovide an alternative to data commons and simply provide access to data, withthe data curation and analysis deferred until later and delegated to those thataccess the data. We review software platforms for managing, analyzing andsharing genomic data, with an emphasis on data commons, but also covering dataecosystems and data lakes.

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