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This document serves as a comprehensive data dictionary for the TIMS system, outlining the structure, field types, descriptions, and other metadata for each table and field within the system.
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How to fill out Data Dictionary
01
Identify the purpose of the data dictionary.
02
List all data elements involved in the project or system.
03
For each data element, define its name and description.
04
Specify the data type for each element (e.g., integer, string, date).
05
Document any constraints or validation rules applicable to each data element.
06
Include information on data sources and data owners.
07
Detail the relationships between different data elements.
08
Review and update the data dictionary as necessary throughout the project.
Who needs Data Dictionary?
01
Data analysts who need to understand data usage.
02
Developers who require clarity on data structures.
03
Database administrators managing data integrity.
04
Stakeholders needing insight into data definitions.
05
Regulatory compliance teams ensuring adherence to standards.
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What is Data Dictionary?
A Data Dictionary is a centralized repository of metadata that describes the structure, relationships, and constraints of data elements in a database, application, or system.
Who is required to file Data Dictionary?
Organizations that collect, manage, or utilize data in their operations are typically required to file a Data Dictionary, especially those in regulated industries or those adhering to data governance policies.
How to fill out Data Dictionary?
To fill out a Data Dictionary, identify and define each data element, document its format, data type, constraints, relationships, and any relevant business rules. Then compile this information into a structured format.
What is the purpose of Data Dictionary?
The purpose of a Data Dictionary is to provide clarity and consistency in data usage, facilitate data management, support data governance, and enhance communication among stakeholders.
What information must be reported on Data Dictionary?
Information that must be reported in a Data Dictionary includes data element names, descriptions, data types, allowable values, constraints, relationships to other data elements, and any relevant source or usage notes.
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