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GEN Data Dictionary Tables used as source data The following table presents the source data and a brief description. Data tableDescriptionAdmissions into community based care, 200809 to 201112 (Admissions×Homelier×200809to2011 12×GEN
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To fill out the gen data dictionary, follow these steps:
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Start by gathering all the necessary information about the general data you want to include in the dictionary.
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Create a document or spreadsheet to organize the data. You can use tools like Microsoft Excel, Google Sheets, or any other similar software.
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Divide the data into different categories or sections to make it easier to navigate and understand.
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Begin filling out the document by entering the specific data points within each category.
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Provide clear and concise descriptions for each data point to ensure understanding and consistency.
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Include any relevant information or documentation that supports each data point, such as data source, data format, and any associated data governance policies.
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Review and cross-check the filled-out data dictionary to ensure accuracy and completeness.
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Publish or share the data dictionary with the intended audience, such as data analysts, data scientists, or other stakeholders.
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Regularly update and maintain the data dictionary as new data points or changes occur in the general data.

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The gen data dictionary is needed by various individuals or teams involved in data management and analysis processes. Some of the key stakeholders who may need the gen data dictionary include:
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- Data analysts: They need the dictionary to understand the structure and definitions of the general data they are working with.
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- Data scientists: The data dictionary helps them to quickly access and comprehend the general data for their analysis and modeling purposes.
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- Data engineers: They may refer to the dictionary for understanding the general data attributes and relationships to design and optimize data storage and processing systems.
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- Data governance teams: The data dictionary aids in ensuring data consistency, quality, and compliance with regulations.
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- Business stakeholders: They can utilize the dictionary to gain insights into the general data and its relevance to their decision-making processes.
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- Any individual or team involved in data integration, data migration, or data manipulation tasks may also benefit from the gen data dictionary.
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The gen data dictionary is a document that contains a detailed list of all the data elements used in a particular system or database.
All organizations or individuals that collect or store data are required to file gen data dictionary.
To fill out gen data dictionary, you need to list all the data elements used in the system, provide a description for each element, and specify any relationships between the elements.
The purpose of gen data dictionary is to provide a comprehensive reference for all the data elements in a system and ensure consistency in data management.
Gen data dictionary must include a list of all data elements, their descriptions, data types, and relationships between the elements.
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