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Data and the Data Environment
MARK ELLIOT, a1 KIERAN HARA, b CHARLES RAAF, c CHRISTINE M. O'Keefe, d
ELAINE MICKEY, a CHRIS DUBBED, c HEATHER GOWNS, e KINGSLEY
PURDAH,
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Data scientists and analysts who are creating predictive models.
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What is modelling data environments within?
Modelling data environments involve creating structured representations of data systems to understand, analyze, and improve data workflows and architectures.
Who is required to file modelling data environments within?
Organizations that handle significant data processing activities, particularly those in regulated industries, are required to file modelling data environments.
How to fill out modelling data environments within?
To fill out modelling data environments, organizations should gather relevant data characteristics, system details, and workflow information, and then submit the structured report according to established guidelines.
What is the purpose of modelling data environments within?
The purpose is to provide insight into data management practices, ensure compliance with regulations, and improve data quality and governance.
What information must be reported on modelling data environments within?
Information reported should include data sources, data flows, processing activities, security measures, and compliance protocols.
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