Data Harmonization for a Molecularly Driven Health System

作者:Lee Jerry Ssu Hsien; Kibbe Warren Alden*; Grossman Robert Lee
来源:Cell, 2018, 174(5): 1045-1048.
DOI:10.1016/j.cell.2018.08.012

摘要

Data commons have emerged as the best current method for enabling data aggregation across multiple projects and multiple data sources. Good data harmonization techniques are critical to maintain quality of data within a data commons, as well as to allow future meta-analysis across different data commons. We present some of the current best practices for data harmonization.

  • 出版日期2018-8-23