T/BDIA 9004-2024 Data asset inventory requirements
T/BDIA 9004-2024 Data asset inventory requirements
Basic Information
Scope
Scope: Table of Contents Preface. II Introduction. III 1 Scope. 1 2 Normative Reference Documents. 1 3 Terms and Definitions. 1 4 Foundation of Data Asset Inventory Work. 1 5 Execution of Data Asset Inventory Work. 2 6 Use of Data Asset Inventory Results. 3 Appendix A (Normative Appendix) Snapshot Mode Data Asset Inventory Report Template. 4 Appendix B (Normative Appendix) Tracking Mode Data Asset Inventory Report Template. 4 References. 4 **Main Technical Content**: The introduction emphasizes that "data" plays a crucial role, whether it is used to provide information clues based on a single record or to support scientific decision-making based on statistical patterns of datasets. At its core, this relies on the fundamental premise that datasets must comprehensively and accurately record the real world. Inconsistent data collection and inaccurate data states will seriously impact the reliability of information clues and the formation of statistical patterns. The "Data Asset Inventory" work, as a fundamental means of assessing the status of data assets, should provide an accurate portrayal of both the integrity of data assets and the trustworthiness of data records at the "record level", to support business actions (analysis, decision-making) and management decisions (asset inclusion, value estimation) based on these data. This document proposes using the "business primary key" (a set of data items that distinguish the uniqueness of each data record in a business context) as the foundation for data asset inventory work. At the same time, considering the fundamental law of "eternal change" in the real world reflected by data assets, two inventory modes are proposed: - **Snapshot Mode (static)**: Suitable for data asset applications based on a snapshot of the real world at a specific point in time. - **Tracking Mode (dynamic)**: Suitable for data asset applications based on continuous recording of the real world. Data asset inve