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DSLP pillar 3: Data ethics and compliance
DSLP pillar 3 - Policy oriented data stewardship
Data ethics
Definition: Branch of ethics concerned with the moral implications of practices involving data, including data collection, description, storage, accessibility, rights, ownership, and uses. This also includes any corresponding practices, such as the use of data in algorithms, artificial intelligence, or in policy development, which have the potential to positively or negatively impact individuals, groups, or society.
IRI: https://terms.codata.org/rdmt/data-ethics
Data compliance
Definition: Ongoing processes to ensure adherence of data to both enterprise business rules (government department, university, industry, or agency), and to legal, regulatory and accreditation requirements. Includes five areas: controls, audit, legal compliance, regulatory compliance, and accreditation conformance.
IRI: https://terms.codata.org/rdmt/data-compliance