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This document provides a comprehensive data dictionary covering various facets of facility information, including general facility details, coal and oil utilized, boiler information, emissions data,
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How to fill out Data Dictionary

01
Identify and define each data element that will be included in the Data Dictionary.
02
Determine the data type for each element (e.g., string, integer, date).
03
Specify the format for each data type, including any required patterns or lengths.
04
Describe the purpose of each data element, explaining what the data represents.
05
Outline any relationships between data elements, including dependencies or hierarchies.
06
Set constraints on each element, such as validation rules or acceptable ranges.
07
Include details on data ownership, including who is responsible for maintaining the data.
08
Document the source of the data, clarifying where the information originates from.

Who needs Data Dictionary?

01
Data analysts who need to understand the data for analysis and reporting.
02
Data scientists who require clear definitions and structures for modeling.
03
Database administrators who must maintain and optimize the database structure.
04
Developers who need to understand data structures for application development.
05
Compliance officers who need to ensure data usage adheres to regulations.
06
Stakeholders who need to interpret data accurately for decision-making.
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A Data Dictionary is a centralized repository of information about data, including its meaning, relationships to other data, origin, and usage within a specific system or database.
Individuals or organizations that manage data systems or databases, such as data administrators, data architects, or any entity involved in data management are typically required to file a Data Dictionary.
To fill out a Data Dictionary, one should identify and define data elements, provide descriptions, establish data types, set roles and access levels, and document relationships between different data sets.
The purpose of a Data Dictionary is to provide clear and standardized documentation of data structures, facilitate data management, enhance data integrity, and ensure consistency across data usage.
Information reported on a Data Dictionary must include data element names, definitions, data types, allowable values, relationships with other data elements, and any constraints or rules governing the data.
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