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CANADIAN URBAN ENVIRONMENTAL HEALTH RESEARCH CONSORTIUMDATA DICTIONARY NOVEMBER 16, 2017Data Dictionary November 2017Contents POSTAL CODE DATA ......................................................................................................................................
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01
To fill out the ICES Data Dictionary, follow these steps:
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Start by obtaining a copy of the ICES Data Dictionary template.
03
Open the template in a spreadsheet software, such as Microsoft Excel or Google Sheets.
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Review the requirements and guidelines provided in the template's documentation.
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Begin populating the Data Dictionary by entering the necessary information for each field.
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Fill out the required fields, including data element name, description, data type, and domain values.
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Provide additional information and metadata, such as units of measurement, associated concepts, and source references.
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Validate and review the completed Data Dictionary for accuracy and consistency.
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Save the filled-out Data Dictionary in a compatible format, such as CSV or XLSX.
10
Distribute the Data Dictionary to relevant stakeholders or upload it to the designated data repository.
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Periodically update the Data Dictionary as needed to reflect changes or additions to the data structure.

Who needs ices data dictionary?

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The ICES Data Dictionary is useful for various individuals and organizations involved in data management, including:
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- Researchers and scientists who collect and analyze data for scientific studies or projects.
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- Data managers and administrators responsible for organizing and maintaining datasets.
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- Data analysts and statisticians who rely on accurate and standardized data definitions.
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- Regulatory agencies or government bodies that require standardized data documentation for compliance purposes.
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- Data users who need to understand the data structure, definitions, and metadata to interpret and utilize the data effectively.
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- Software developers and IT professionals involved in database design, data integration, or application development.
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- Data quality and governance teams striving to ensure consistency, integrity, and interoperability of datasets.
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- Collaborative projects or initiatives that involve multiple organizations or stakeholders, requiring a common understanding of data elements and definitions.
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The ICES Data Dictionary is a comprehensive framework that defines the data elements, formats, codes, and instructions necessary for the accurate reporting of information related to Integrated Child Exploitation Services.
Entities that participate in the ICES program, including organizations and individuals involved in child service provision, are required to file the ICES Data Dictionary.
To fill out the ICES Data Dictionary, participants should refer to the guidelines provided in the documentation, ensuring that all necessary fields are accurately completed based on the definitions and formats specified.
The purpose of the ICES Data Dictionary is to standardize data reporting practices to improve data quality, facilitate data integration, and ensure compliance with regulatory requirements.
The information that must be reported includes demographic data, service usage, outcomes, and any specific case-related information as outlined in the ICES guidelines.
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