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GSA Federal Procurement Data SystemNext Generation
(FPD SNG) Data Element Dictionary
COPYRIGHT NOTICE: This work, authored by IBM employees, was funded in whole or in part by federal funds under U.S.
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How to fill out data element dictionary
How to fill out data element dictionary
01
To fill out a data element dictionary, follow these steps:
02
Determine the purpose of your data element dictionary. Understand what information you want to capture and organize in the dictionary.
03
Identify the data elements or variables that you need to include in the dictionary. These can be attributes, properties, or characteristics of your data.
04
Create a template or structure for the data element dictionary. Decide on the fields or columns you want to have for each data element, such as name, description, data type, length, and source.
05
Populate the data element dictionary with the relevant information for each data element. Fill in the fields you defined in the template, providing accurate and detailed descriptions of each data element.
06
Review and validate the data element dictionary. Check for any inconsistencies, errors, or missing information. Make necessary updates or corrections.
07
Maintain and update the data element dictionary regularly. As new data elements are introduced or existing ones change, ensure the dictionary remains up-to-date and reflects the current state of your data.
08
Following these steps will help you effectively fill out a data element dictionary and have a comprehensive reference for your data.
Who needs data element dictionary?
01
A data element dictionary is needed by various stakeholders who deal with data management and data analysis. Some of the key individuals or groups who require a data element dictionary include:
02
- Data analysts and scientists: They need a clear understanding of the data elements and their definitions to perform accurate analysis and derive meaningful insights.
03
- Data architects and database administrators: They rely on the data element dictionary to design and manage efficient database structures, ensuring data integrity and consistency.
04
- Business analysts: They use the data element dictionary to understand the data elements' business context and requirements, facilitating effective decision-making and process improvement.
05
- Data stewards and data governance teams: They utilize the data element dictionary to enforce data standards, ensure data quality, and maintain data governance policies.
06
- Developers and programmers: They refer to the data element dictionary when working on data integration, data migration, or application development tasks to ensure data interoperability and compliance with data standards.
07
Overall, a data element dictionary serves as a valuable resource for anyone involved in data-related activities, promoting better data management, data sharing, and data-driven decision-making.
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What is data element dictionary?
The data element dictionary is a structured list of data elements, along with their definitions, formats, and relationships.
Who is required to file data element dictionary?
Any organization or individual collecting, storing, or exchanging data elements is required to file a data element dictionary.
How to fill out data element dictionary?
To fill out a data element dictionary, one must provide detailed information about each data element, including its name, description, type, and usage.
What is the purpose of data element dictionary?
The purpose of a data element dictionary is to standardize the definition and usage of data elements across an organization or industry.
What information must be reported on data element dictionary?
The data element dictionary must include information about each data element, such as its name, description, type, format, and allowed values.
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