Data quality management

Original to this reference.

Levels

1. Awareness

You can:

• explain why accurate health data matters for care and planning
• record data accurately and report errors

2. Working

You can:

• run data quality checks and correct errors
• explain data quality reports to colleagues

3. Practitioner

You can:

• define data quality rules and measures
• work with data providers to fix the root causes of poor quality

4. Expert

You can:

• set data quality standards for the organization and its partners
• lead data quality improvement programs

Closest ESCO skills

• implement data quality processes (exact match)
• define data quality criteria (close match)
• data quality assessment (close match)

Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.

Role levels that expect this skill