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Description of Data Elements Nationwide Inpatient Sample (IS) This document contains cumulative descriptions of data elements across all states and years of CUP data from 1988 to the current data
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How to fill out description of data elements

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How to fill out description of data elements:

01
Start by identifying the purpose and scope of the data element. Clearly define what the data element represents and what it is used for within your system or organization.
02
Provide a concise and meaningful name for the data element. Choose a name that accurately reflects the data it represents and is easily understood by others who may interact with it.
03
Include a description that provides additional context and details about the data element. This may include information such as its data type, format, size, allowed values, and any specific rules or constraints that apply.
04
Consider adding examples or illustrations that demonstrate how the data element is used in practice. This can help users better understand its purpose and how it relates to other data elements.
05
If applicable, document any dependencies or relationships that the data element has with other elements or systems. This can help ensure that the data is properly integrated and used effectively within the larger context of your organization's data architecture.

Who needs description of data elements:

01
Data analysts and data scientists rely on accurate and comprehensive descriptions of data elements to understand the data they are working with. This allows them to extract meaningful insights and make informed decisions based on the data.
02
Developers and software engineers use data element descriptions to ensure that they are using the correct data in their applications and systems. This helps prevent data inconsistencies and errors that could impact the functionality and reliability of the software.
03
Data stewards and data governance teams are responsible for managing and maintaining data quality within an organization. They rely on data element descriptions to enforce data policies, ensure compliance with regulations, and facilitate data integration and interoperability.
In summary, filling out the description of data elements requires careful consideration of its purpose, providing clear details, and considering the needs of various stakeholders such as data analysts, developers, and data governance teams.
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Description of data elements is a detailed explanation of the specific data fields or elements that are included in a dataset.
The organizations or individuals responsible for collecting or managing the data are required to file descriptions of data elements.
Description of data elements can be filled out by providing comprehensive information about each data field, including its name, purpose, format, and any relevant constraints or rules.
The purpose of description of data elements is to provide clarity and transparency about the data contained in a dataset, making it easier for others to understand and use the data effectively.
The description of data elements must include details such as the name of each data field, its description, data type, any restrictions on the data, and any relationships with other data fields.
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