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2012 Adult Health Survey Data Dictionary Variable NameA3Type Length $1Format$CA3FAsthma interfere with daily lifeA4$1$CA4FSeverity of asthma interferenceAGE8ALC1$1ALC1A8ALC2$1ALC2A8$CALC1F$CALC2FVariable
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Start by identifying the key information that needs to be included in the data dictionary and collection. This can include data fields, their descriptions, data types, data sources, and any other relevant details.
02
Create a template or a format for the data dictionary and collection. This can be a spreadsheet, a database, or any other suitable format.
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Organize the data dictionary and collection in a logical and easily understandable manner. This can include grouping related data together or providing appropriate tags or labels.
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Regularly update and maintain the data dictionary and collection as new data is added or existing data is modified. This helps ensure the accuracy and relevancy of the information stored.
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Test the data dictionary and collection to ensure its functionality and accessibility. This can involve checking if the data can be easily searched, sorted, or filtered as required.
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Provide necessary documentation or instructions on how to use and interpret the data dictionary and collection. This helps other users or stakeholders understand the information and make informed decisions based on it.

Who needs data dictionary and collection?

01
Data dictionary and collection are useful for various individuals and organizations involved in data management and analysis, including:
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- Data scientists and analysts who need to understand the structure, definition, and relationships of the data they work with.
03
- Database administrators who are responsible for managing and maintaining databases.
04
- Developers who need to integrate and use data from different sources in their applications.
05
- Business analysts who need to analyze and interpret data for making informed business decisions.
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- Data stewards who are responsible for ensuring data quality, consistency, and compliance.
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- Data governance teams who need to establish standards and guidelines for data management and usage.
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- Regulatory authorities or auditors who require documentation and proof of data accuracy and compliance.
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- Any individual or organization that deals with large or complex datasets and wants to ensure efficient data management and data-driven decision-making.
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A data dictionary is a centralized repository that contains metadata and definitions about data elements, such as their meaning, relationships, and allowable values. Data collection refers to the systematic gathering of information from various sources to populate the data dictionary.
Organizations and entities that collect, manage, or utilize data must file data dictionaries and collections, especially those subject to regulatory reporting requirements.
To fill out a data dictionary and collection, organizations should identify all data elements, provide clear definitions, specify the format, and include details on the source of the data, ensuring compliance with relevant guidelines.
The purpose of a data dictionary and collection is to improve data management practices, ensure data quality, facilitate data sharing, and comply with legal or regulatory requirements.
Information reported usually includes data element names, definitions, types, relationships, formats, and any applicable constraints or validation rules.
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