DATA LITERACY CHECKLIST
Campus Resource Library | Open study notes

SOURCE: Who collected the data, when, and for what purpose?
SAMPLE: How was the sample selected? Who may be missing?
DEFINITIONS: What do the variables and units actually mean?
QUALITY: Are values missing, duplicated, or inconsistently measured?
COMPARISON: Is the baseline or control group appropriate?
UNCERTAINTY: Are sample size and uncertainty reported?
CAUSALITY: Does the design support causal inference, or only association?
VISUALS: Check axes, scales, aggregation, and omitted context.
REPRODUCIBILITY: Preserve sources and document transformations.
ETHICS: Respect consent, privacy, and data-use restrictions.