Explore KSACs by Pathway
Explore Knowledge, Skills, Abilities, and Credentials (KSACs) by IT Pathway.
3. Data Quality
| Label | KSAC Description | Bloom's Taxonomy Level | Cross-Cutting | |
|---|---|---|---|---|
| a | Identify steps to ensure data quality at each level | knowledge | 2 | |
| b | Explain strategies for dealing with data quality issues | knowledge | 2 | |
| c | Understand how to curate data, how data will be used, and ensure that data is fit for purpose and use | skill | 3 | |
| d | Demonstrate an understanding of integrating data sources and data fusion concepts and methods for performing these activities | knowledge | 3 | |
| e | Identify data quality issues (e.g., missing values, duplication of records, outliers) | skill | 4 | |
| f | Perform data summarization, sanity checks, and validation using appropriate tools and software | skill | 3 | |
| g | Assess data in terms of availability and appropriateness to the possible solutions | ability | 5 |