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Dents Aegis Network DATA DICTIONARY FOR ECONOMIC OPERATORS v1.3 This document details the Data Dictionary for EU Secondary Repository and Router. Summary of changes Date 17.01.2019 05.02.2019Version
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Start by identifying the purpose of the data dictionary and list. Determine what information needs to be documented and why.
02
Create a clear and consistent structure for organizing the data in the dictionary and list. Use headings, sections, and sub-sections to group related information.
03
Include relevant details for each item in the dictionary and list. This may include the data name, data type, description, source, format, and any related notes or comments.
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Regularly update and maintain the data dictionary and list as new information becomes available or changes occur.
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Who needs data dictionary and list?

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Data analysts and scientists who work with large datasets often require a data dictionary and list to understand the structure and meaning of the data they are working with.
02
Database administrators and developers use data dictionaries and lists to document the schema and relationships between different tables in a database.
03
Business analysts and project managers may need a data dictionary and list to ensure proper understanding and communication of data requirements within a project or organization.
04
Data governance teams and data stewards utilize data dictionaries and lists as tools for managing and enforcing data quality, consistency, and compliance.
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Data users and consumers, such as end-users of a software application or BI reports, may benefit from a data dictionary and list to understand and interpret the data they are viewing or analyzing.
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A data dictionary and list is a detailed description of the data elements within a database or information system, detailing the attributes, relationships, and constraints of each element.
Organizations and entities that manage data and are subject to regulatory requirements typically need to file a data dictionary and list.
To fill out a data dictionary and list, organizations must document each data element’s name, type, source, usage, and any rules or constraints associated with the data.
The purpose of a data dictionary and list is to provide a comprehensive reference for data management, ensuring consistency, accuracy, and clarity in data use and reporting.
Information reported on a data dictionary and list should include data element names, definitions, data types, formats, and any relevant metadata.
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