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CATS Precessional Document: Tables provided for informational purposes only
Version: 04.27.20COVID19 Clinical Data Warehouse Data Dictionary
Based on
MOP Common Data Model Specifications Version 5.3.1
Contents1
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How to fill out data model harmonization for
How to fill out data model harmonization for
01
To fill out data model harmonization, follow these steps:
02
Understand the purpose and goals of data model harmonization.
03
Identify the data models that need to be harmonized.
04
Review and analyze the existing data models to identify inconsistencies, redundancies, and conflicts.
05
Develop a harmonization plan that outlines the changes required to align the data models.
06
Implement the changes by modifying the data models to eliminate inconsistencies and conflicts.
07
Test and validate the harmonized data models to ensure they meet the desired objectives.
08
Document the changes made and update the documentation of the data models.
09
Communicate the changes to relevant stakeholders and provide training or support if needed.
10
Continuously monitor and maintain the harmonized data models to address any future updates or changes.
Who needs data model harmonization for?
01
Data model harmonization is needed for anyone who works with multiple data models that need to be integrated or exchanged.
02
This includes software developers, database administrators, system architects, data analysts, and data integration specialists.
03
Organizations that deal with complex data systems or have multiple data sources can benefit from data model harmonization to ensure consistency and compatibility.
04
It is also useful for data integration projects, data migrations, and system integrations where different data models need to be aligned and synchronized.
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What is data model harmonization for?
Data model harmonization is aimed at ensuring consistency and standardization of data across different systems and processes to facilitate better data integration, reporting, and analysis.
Who is required to file data model harmonization for?
Organizations and entities that handle significant amounts of data, especially in regulated industries, are typically required to file data model harmonization to ensure compliance with standards and regulations.
How to fill out data model harmonization for?
To fill out data model harmonization, organizations must collect relevant data elements, define their structures and relationships, and adhere to established standards and guidelines before submitting the harmonized model.
What is the purpose of data model harmonization for?
The purpose of data model harmonization is to create a unified data framework that improves interoperability, reduces redundancy, and enhances data quality across various platforms and stakeholders.
What information must be reported on data model harmonization for?
Information that must be reported includes the definitions of data elements, data types, relationships between entities, and any relevant metadata that support the harmonization efforts.
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