The Accuracy principle is a fundamental Fair Information Practice Principle (FIPP) that directly addresses the need for data quality. Under Canada's PIPEDA (Schedule 1, Principle 4.6), this principle requires that "Personal information shall be as accurate, complete, and up-to-date as is necessary for the purposes for which it is to be used." The organization's obligation is to take reasonable steps to ensure the information is correct to avoid making misinformed decisions about an individual. This aligns perfectly with the scenario of verifying information to prevent incorrect actions.

A: Integrity is a security principle concerned with protecting data from unauthorized alteration, not ensuring its factual correctness for a purpose. C: Accountability is the overarching principle that an organization is responsible for complying with all privacy principles, not a specific data quality rule. D: Limiting purposes refers to the principle of specifying the reasons for data collection, not the quality of the data collected.

1. Personal Information Protection and Electronic Documents Act (S.C. 2000, c. 5), Schedule 1, Principle 4.6 "Accuracy".

2. Office of the Privacy Commissioner of Canada. (n.d.). PIPEDA fair information principles. Retrieved from the official OPC website, which details the 10 principles.

3. Organisation for Economic Co-operation and Development (OECD). (2013). The OECD Privacy Framework. OECD Publishing, Paris. Part Two, Section III, "Data Quality Principle".