标题： 数据湖、云和公共库：基因组数据分析和共享平台综述 显示英文标题

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

摘要： 数据公共体将数据与云计算基础设施以及常用软件服务、工具和应用程序整合，以创建用于生物医学数据的大规模管理、分析、标准化和共享的资源。 在过去几年中，数据公共体已被用于分析、标准化和共享大规模基因组数据集。 通过互操作多个数据公共体可以构建数据生态系统。 在数据公共体中对数据进行整理、导入和分析可能非常耗时。 数据湖为数据公共体提供了一种替代方案，它们仅提供对数据的访问，而数据整理和分析则推迟到以后，并委托给访问数据的用户。 我们回顾了用于管理、分析和共享基因组数据的软件平台，重点介绍数据公共体，但也涵盖了数据生态系统和数据湖。 显示英文摘要

摘要： 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 covering data ecosystems and data lakes.