T/GDIIA 006.10-2024 Data Governance Part 10: Specification for the Assetization Process Management of Data
T/GDIIA 006.10-2024 Data Governance Part 10: Specification for the Assetization Process Management of Data
Basic Information
Scope
Scope: This standard sets forth the prerequisites and phase divisions for data assetization, and proposes requirements for each of the three phases: data resourceization, resource productization, and product assetization. This standard is applicable to the data assetization process management of relevant organizations. Main technical content: This standard sets forth the prerequisites and phase divisions for data assetization, and proposes requirements for each of the three phases: data resourceization, resource productization, and product assetization. The development of this standard aims to standardize the data assetization process and address the following issues: a) Clear conditions for data assetization: Specifies the necessary conditions for data assetization, such as clear data ownership, effective data utilization, estimable data value, and compliance with data requirements. b) Standardized data assetization process: Provides organizations with a standardized data assetization process consisting of three phases: data resourceization, resource productization, and product assetization, helping organizations clarify the different stages of data assetization and their key tasks and requirements, ensuring the smooth progress of the data assetization process. c) Data resource management: Helps organizations standardize the processes of collecting, cleaning, integrating, and storing data, discover the value of data resources, and form reusable, applicable, and accessible standardized data resources. d) Data product development: Guides organizations on how to transform standardized data resources into specific, valuable data products. e) Data asset value assessment: Provides methods for cost aggregation and allocation, helping organizations reasonably estimate and allocate the costs of data resourceization and resource productization. It also offers methods and pricing strategies for data asset value assessment, helping organizations quantify the economi