1. Data standardization technology combines data utilization requirements to standardize data according to the requirements of relevant industries, and proposes basic requirements and specifications for data standardization. 2. Data cleaning and quality control technology combines multi-source data from large natural population cohorts (including on-site survey data, long-term follow-up monitoring data, omics data, etc.) to formulate targeted data cleaning standards and put forward specific requirements for data quality control. 3. Data integration technology uniformly integrates multi-source and heterogeneous data according to the characteristics of the data to facilitate data mining and analysis.
T/CPMA 001-2018 history
2018T/CPMA 001-2018 Technical specification of data processing for large population-based cohort study