Common data quality problems include all of the following except:

Question

BlackTom AI · Accepted Answer

Data quality problems are issues that make data inaccurate, incomplete, inconsistent, or invalid. Common dimensions of data quality include accuracy, completeness, consistency, validity, uniqueness, and timeliness. Problems that directly affect the content or meaning of data fall under “data quality”; network or infrastructure faults affect availability or delivery rather than the intrinsic quality of the data itself.

1) Relevant knowledge points and concepts
- Accuracy: data correctly reflects the real-world value (misspelled names, transposed numbers reduce accuracy).
- Completeness: required fields are present (missing codes indicate incomplete data).
- Validity/consistency: values conform to expected formats or code sets (incorrect codes violate validity/consistency).
- Availability/technical issues: connectivity problems affect access but do not change the stored data’s correctness.

2) Step‑by‑step reasoning
- Evaluate each option against data quality dimensions.
  a) Misspelled names: clearly an accuracy/validity issue — a classic data quality problem.
  b) Transposed numbers: digits swapped (e.g., 1234 → 1324) alters numeric accuracy — a data quality issue.
  c) Incorrect codes: using wrong classification codes makes records invalid/inaccurate — data quality issue.
  d) Missing codes: absent values mean incompleteness — data quality issue.
  e) Internet connectivity problems: impact system availability or the ability to transmit data but do not by themselves change the correctness, completeness, or validity of the underlying data.

3) Calculations
- None required for this conceptual classification problem.

4) Why the correct answer is correct
- “Internet connectivity problems” refer to network reliability and access; they are operational/IT infrastructure issues, not inherent faults in the data content. Therefore they are not typically classified as a data quality problem.

5) Why other options are incorrect
- Misspelled names, transposed numbers, incorrect codes, and missing codes each directly degrade accuracy, validity, or completeness and are textbook examples of data quality problems.

6) Conclusion
The correct choice is “Internet connectivity problems,” which matches the provided answer.

Common data quality problems include all of the following except: 单项选择题

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