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Washington KIT PREVENTION SERVICE DATA DICTIONARY VERSION 1.7 November 2008 Prepared By: KIT Solutions, LLC TABLE OF CONTENTS DEFINITIONS OF TERMS 3 INTRODUCTION 5 GUIDANCE/HELPFUL HINTS 6 TABLE DESCRIPTION

How to fill out wa data dictionary

How to fill out wa data dictionary?

1. Start by gathering all the relevant data that needs to be included in the data dictionary. This can include information about the data sources, data types, data structures, data definitions, and any other relevant details.
2. Organize the collected data in a structured manner. This can be done by creating categories or sections for different types of data, such as tables, columns, variables, etc.
3. Use appropriate naming conventions and labels for easy identification and understanding of the data. Ensure that the names are descriptive and meaningful.
4. Provide detailed descriptions for each data element. This should include information on what the data represents, how it is used, any dependencies or relationships with other data elements, etc.
5. Document any business or technical rules associated with the data. This can include data validation rules, data transformation rules, data access rules, etc.
6. Include any metadata about the data, such as the data source, data owner, data creation date, data modification history, etc.
7. Regularly update and maintain the data dictionary to keep it accurate and up-to-date as changes occur in the data landscape.

Who needs wa data dictionary?

1. Data administrators: Data administrators are responsible for managing and governing the organization's data assets. They need the data dictionary to have a comprehensive understanding of the data elements, their definitions, and the relationships between them.
2. Data analysts: Data analysts rely on the data dictionary to understand the data they're working with and to ensure they're interpreting it correctly. It helps them in conducting data analysis, generating insights, and making data-driven decisions.
3. Database developers: Database developers use the data dictionary to design and develop databases. It helps them understand the structure and characteristics of the data, facilitating efficient and accurate database design.
4. Data stewards: Data stewards are responsible for ensuring the quality, integrity, and compliance of the organization's data. They use the data dictionary to understand the data lineage, validate data against business rules, and resolve data-related issues.
5. Business users: Business users, such as managers or executives, may need the data dictionary to have a better understanding of the data and its implications on their decision-making processes. It helps them become more data-driven and align their strategies with the organization's data assets.

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What is WA data dictionary?

WA data dictionary is a document that defines the structure, organization, and data elements of a database or system.

Who is required to file WA data dictionary?

Businesses or individuals who collect or maintain data are required to file WA data dictionary.

How to fill out WA data dictionary?

WA data dictionary can be filled out by documenting the data elements, their definitions, relationships, and usage within a database or system.

What is the purpose of WA data dictionary?

The purpose of WA data dictionary is to provide a comprehensive reference for understanding and managing data within a database or system.

What information must be reported on WA data dictionary?

WA data dictionary must report data elements, their definitions, relationships, and usage within a database or system.

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