systematic and scientific data quality evaluation standard will help standardize the data quality evaluation work in activities such as credit data resource management, development and quality evaluation in the big data credit intelligent evaluation and open service platform. This standard stipulates the principles and indicators for data quality evaluation of big data credit reporting, and clarifies the evaluation methods, processes and results applications, enhances the data management capabilities of the big data credit reporting industry, and can provide intelligent assessment for big data credit reporting. Provide basis and reference for the research and construction of service open platform. This document mainly includes the following aspects: terms and definitions, data quality evaluation principles, data quality model indicators, data quality evaluation methods, data quality evaluation process, and application of data quality evaluation results.
T/MSITISA 03-003.06-2022 history
2022T/MSITISA 03-003.06-2022 Big Data Credit Investigation-Data description- Data quality evaluation specification