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Statistical Annual Report of Public Library Services UTAH STATE LIBRARY Data Element Definitions Fiscal Year 2012 Cities: July 1, 2011, June 30, 2012, Counties: January 1, 2012, December 31, 2012,
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How to fill out data element definitions
How to fill out data element definitions:
01
Start by identifying the purpose of the data element. Define the specific information that needs to be captured and documented.
02
Determine the data type of the element. Is it text, numeric, date, or another data format? Specify the format and any validations or restrictions that apply.
03
Assign a unique identifier to the data element. This is important for tracking and referencing purposes.
04
Provide a clear and concise definition of the data element. Use language that is easily understood by both technical and non-technical stakeholders.
05
Specify the source of the data element. Where does the information come from? Is it captured manually, derived from other data, or obtained through automated processes?
06
Document any relationships or dependencies with other data elements. If the data element is part of a larger dataset or interconnected system, describe how it interacts with other elements.
07
Include any relevant metadata. This may include additional information such as the data owner, data steward, data classification, or any security or privacy considerations.
08
Review and validate the completed data element definition. Ensure it is accurate, complete, and aligned with any relevant standards or guidelines.
Who needs data element definitions:
01
Data management professionals: These individuals are responsible for organizing, documenting, and maintaining data within an organization. Data element definitions help them understand the structure and characteristics of the data they work with.
02
Data architects: These professionals design the overall data structure and database schemas. Data element definitions provide valuable information that aids in the proper organization and integration of data elements.
03
Developers and programmers: When building software applications, developers need to understand the data elements they are working with. Clear and well-defined data element definitions help streamline the development process.
04
Business analysts: Data element definitions provide critical insights into the data being analyzed. Business analysts rely on this information to ensure accurate interpretation and utilization of data in their analyses.
05
Data users and consumers: Anyone who interacts with data within an organization can benefit from data element definitions. Having a clear understanding of the data being used enhances decision-making, reporting, and overall data literacy.
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What is data element definitions?
Data element definitions are descriptions that define the meaning and format of each data element within a dataset.
Who is required to file data element definitions?
Organizations and entities that collect, maintain, or share data are required to file data element definitions.
How to fill out data element definitions?
Data element definitions can be filled out by providing specific details about the meaning and format of each data element within a dataset.
What is the purpose of data element definitions?
The purpose of data element definitions is to ensure consistency and understanding of data elements across different systems and organizations.
What information must be reported on data element definitions?
Information such as data element name, description, format, usage instructions, and any related data validation rules must be reported on data element definitions.
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