T/GDICA 006-2026 Data quality — Competency requirements and certification specification for data quality assessors

Scope

As the digital economy becomes a new engine for global economic growth, data, as a key production factor, directly relates to the effectiveness of data analysis, decision support, intelligent applications, and value creation. Currently, various industries are generally facing challenges of low data quality and a shortage of data management talent, which seriously restricts the depth and breadth of digital transformation. Data quality assessors, as core professionals in the field of data quality management, are responsible for conducting comprehensive and objective evaluations of data assets, identifying data defects, and proposing improvement suggestions. They play a crucial role in ensuring the trustworthiness, availability, and value-added nature of data. To address the shortage of professionals in this field, a systematic talent training and evaluation system has been established, and this standard has been developed accordingly. This standard specifies the competency framework, core competency requirements, certification norms, and continuous development paths for data quality assessors. It aims to provide a basis for curriculum design for relevant education and training institutions, serve as a reference for talent selection and evaluation for employers, and offer clear career development guidance for practitioners, thereby promoting the professionalization and standardization of the data quality assessor team.

Development Information

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