Data are considered relevant if they:

Data are considered relevant when they meet the needs for which they are being used. This means that the information aligns with the specific questions or problems that decision-makers are trying to address. Relevant data should provide insights and context that directly contribute to making informed decisions.

In decision-making contexts, it's important to focus on data that is applicable to the situation at hand; if data does not serve a specific purpose or does not help answer critical questions, it cannot be considered relevant. Thus, the appropriateness of the data to the context of its use is paramount for it to be considered valuable.

While frequently available data and data that provide solutions can be important characteristics, they do not ensure that the data is relevant. Relevance is strictly tied to the needs of the user, making this choice the most accurate representation of what defines relevant data.