De-identification in the context of Data mapping

👉 De-identification in the context of Data mapping

In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including:

Data transformation or data mediation between a data source and a destination
Identification of data relationships as part of data lineage analysis
Discovery of hidden sensitive data such as the last four digits of a social security number hidden in another user id as part of a data masking or de-identification project
Consolidation of multiple databases into a single database and identifying redundant columns of data for consolidation or elimination

For example, a company that would like to transmit and receive purchases and invoices with other companies might use data mapping to create data maps from a company's data to standardized ANSI ASC X12 messages for items such as purchase orders and invoices.

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De-identification in the context of Honest broker

An honest broker is an entity that keeps sets of private information but distributes parts of those sets to other entities who should not have access to the entire set. Honest brokers often work in clinical research with biological specimens; in that case, donors of specimens allow researchers to do research on those specimens, but typically want their specimen de-identified by having protected health information separated from it. The honest broker would keep both the specimen and associated protected health information, but only allow researchers to have access to the specimen without the protected health information.

View the full Wikipedia page for Honest broker

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De-identification in the context of Data mapping

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👉 De-identification in the context of Data mapping

De-identification in the context of Honest broker