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Data Steward Meeting October 9, 2018Institutional Research And Data IntegrityAgenda Update on Gartner Consulting Engagement (Eduardo Molina) Data Quality Scorecard Update (Pasture Sen) Identity Data
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Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle.
Any individual or organization that collects, stores, or processes data is required to ensure data integrity.
Data integrity can be maintained through various methods, such as encryption, access controls, and data validation processes.
The purpose of data integrity is to ensure that data remains accurate and reliable, preventing unauthorized access or tampering.
Reports on data integrity typically include information on data validation processes, access controls, and encryption methods.
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