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Paper SI08Making data mapping process easier and smarter with SAS and R Andrei Artemchuk, Int ego Group, Kharkiv, Ukraine ABSTRACT A Case Report Form or CRF is a tool, used in clinical trials to collect
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01
To fill out the data mapping process, follow these steps:
02
Identify the source data: Determine where the data is currently stored and what format it is in.
03
Define the target data: Determine where the data needs to be transferred to and in what format.
04
Map the fields: Create a mapping document that matches the source data fields to the corresponding target data fields.
05
Validate the mapping: Ensure that the mapping is accurate and complete by reviewing and testing it.
06
Implement the mapping: Apply the mapping document to transfer the data from the source to the target.
07
Test and troubleshoot: Verify the data transfer process and address any issues or errors that arise.
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Document the process: Maintain documentation of the data mapping process for future reference and updates.

Who needs making data mapping process?

01
Anyone who needs to transfer data from one system to another can benefit from the data mapping process.
02
Data analysts and developers often use data mapping to ensure data consistency and accuracy.
03
Businesses undergoing system integration or data migration projects require data mapping to facilitate the transition.
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Data mapping is essential for data warehousing, data transformation, and data synchronization processes.
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The data mapping process is the act of identifying and documenting the flow of data throughout an organization.
Any organization that processes personal data is required to conduct and document a data mapping process.
To fill out a data mapping process, organizations need to identify all types of personal data they collect, where it is stored, how it is processed, and who has access to it.
The purpose of a data mapping process is to ensure transparency in how personal data is handled and to identify potential security risks or compliance issues.
The data mapping process should include details on the types of personal data collected, the purposes for which it is processed, where it is stored and how it is secured.
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