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O*NET detailed work activityEvaluate data quality
AI-readyReview & check
9 jobs12 tasks
AI is a tireless proofreader. It catches inconsistencies, missing fields and errors across documents and data, so your review time goes on what matters.
Part of Evaluate the quality or accuracy of data, under the O*NET work activity group Processing Information. Individual tasks below can carry a different label when their own wording calls for it (6 AI-ready, 6 AI-assist, 0 stays human).
Tasks built on this activity
- Review existing or incoming data for currency, accuracy, usefulness, quality, or completeness of documentation.
- Verify the structure, accuracy, or quality of warehouse data.
- Evaluate sources of information to determine any limitations, in terms of reliability or usability.
- Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.
- Perform quality control checks on data to be used by hydrologists.
Tasks where it is part of the work
- Perform quality control analyses to ensure accuracy of test results.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- Process clinical data, including receipt, entry, verification, or filing of information.
- Verify integrity and accuracy of data contained in remote sensing image analysis systems.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Design and validate clinical databases, including designing or testing logic checks.
- Plan, conduct, and evaluate nutrigenomic or nutrigenetic research.