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Developmental Disabilities & Early Childhood Supports Division Department of Community & Human ServicesCORE Data Dictionary for DECs Adult Services Providers King Counties Department of Community
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Here are the steps to fill out the core data dictionary:
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Start by identifying the key entities or objects that you want to include in your data dictionary.
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For each entity, define the attributes or properties that describe it. This could include things like name, description, data type, length, format, etc.
04
Determine the relationships between different entities. For example, if you have a customer entity and an order entity, you might include a relationship that links them together.
05
Define any additional rules or constraints that apply to your data. This could involve specifying data validation rules, unique identifiers, default values, etc.
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Finally, organize and structure the information in a way that is easy to understand and navigate. You could use tables, diagrams, or other formats to represent the data dictionary.
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By following these steps, you can effectively fill out the core data dictionary and ensure that your data is well-documented and organized.

Who needs core data dictionary for?

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A core data dictionary is useful for various individuals and organizations including:
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- Data analysts and data scientists who need to understand the structure and meaning of the data they are working with.
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- Database administrators who are responsible for managing and maintaining databases.
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- Data architects and designers who are involved in the development of database systems.
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- Business analysts who need to analyze and interpret data for decision-making purposes.
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- Developers who are responsible for integrating and accessing data from multiple sources.
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In summary, anyone who works with data and needs to ensure its integrity, consistency, and accuracy can benefit from having a core data dictionary.
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The core data dictionary is a standardized framework that provides definitions and structures for data elements, enabling consistency and clarity in data reporting and management.
Organizations that collect or report specific data as required by regulatory bodies or industry standards are typically required to file a core data dictionary.
To fill out a core data dictionary, an organization needs to identify relevant data elements, define each element, specify formats and standards, and ensure compliance with applicable regulations.
The purpose of the core data dictionary is to ensure that data is uniformly understood, accurately described, and effectively managed across different systems and stakeholders.
Information that must be reported includes data element names, definitions, data types, allowed values, and any constraints or relationships with other data elements.
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