What does data integrity refer to?

Data integrity refers to the accuracy and consistency of data throughout its lifecycle. Maintaining data integrity is crucial for ensuring that information is reliable and can be trusted for decision-making. When data is accurate, it means that it reflects the true value or state of the information it represents. Consistency ensures that the data is the same across different systems and at different times, which is vital for analyses and reporting within healthcare settings, particularly in oncology, where treatment plans and patient outcomes rely heavily on correct data.

Data integrity is upheld through various means, including validation checks, data verification processes, and security measures that prevent unauthorized data alterations. This aspect is paramount in healthcare, where any discrepancies can lead to incorrect diagnosis, treatment plans, or research outcomes. Thus, when considering the choices, the definition that encompasses both accuracy and consistency of data aligns perfectly with the concept of data integrity.