A municipal risk score systematically under-represents rural ZIP codes because source coverage is uneven across the county. At information-management practitioner depth, what quality concern does this raise?
Select an answer to reveal the explanation.
Short Explanation
If rural ZIPs barely show up in the source, the score is like a survey that only called downtown—skewed from the start. Representational fitness and objectivity concerns ask whether the data fairly reflects the population. Uneven coverage is a quality issue, not just a modeling footnote.
Full Explanation
Objectivity and representational fitness concerns arise when datasets systematically misrepresent populations or geographies because of uneven coverage or biased collection. Practitioners should recognize that such skew affects fitness for use even when individual fields look locally complete. Awareness at IM depth supports escalation and coverage remediation without requiring specialized fairness-law analysis.