# data quality management

> area of research

**Wikidata**: [Q3016901](https://www.wikidata.org/wiki/Q3016901)  
**Source**: https://4ort.xyz/entity/data-quality-management

## Summary
Data quality management is an area of research focused on managing and ensuring high data quality. It is classified as a field of study and is treated as a subclass of data governance.

## Key Facts
- Data quality management (DQM) is described as an “area of research.”  
- Aliases for data quality management include “DQM” and “Data Quality Management.”  
- Data quality management is an instance of a field of study.  
- Data quality management is a subclass of data governance.  
- Data governance is described as a capability that enables an organization to ensure high data quality.  
- Data quality management has a Wikidata sitelink count of 1.  
- Data quality management has a Wikipedia language presence noted as French (fr).  
- Data quality management has the Google Knowledge Graph ID `/g/121d1g1b`.

## FAQs
### Q: What is data quality management?
A: Data quality management is an area of research concerned with managing data quality. It is classified as a field of study and is positioned under data governance.

### Q: Is data quality management part of data governance?
A: Yes. Data quality management is listed as a subclass of data governance, which is described as an organizational capability for ensuring high data quality.

### Q: What does “DQM” stand for?
A: DQM is an alias for data quality management. It is also referred to as “Data Quality Management.”

### Q: Where is data quality management documented online?
A: It is represented in Wikidata and has a Google Knowledge Graph identifier (`/g/121d1g1b`). A Wikipedia language presence is noted for French (fr).

## Why It Matters
Data quality management matters because it sits within data governance, which is described as a capability that enables an organization to ensure high data quality. As an area of research and a field of study, it provides a conceptual and academic foundation for how organizations think about and approach the problem of data quality. Positioning data quality management as a subclass of data governance also clarifies its role: it is not an isolated topic, but part of a broader governance capability aimed at ensuring data quality. This classification helps practitioners and researchers align terminology, scope, and responsibility when discussing data-related capabilities. In practical terms, the relevance of data quality management comes from its focus on the management of data quality as a distinct concern within governance, making it easier to organize research, education, and organizational initiatives around improving and maintaining high-quality data.

## Notable For
- Being explicitly described as an area of research.  
- Being classified as a field of study.  
- Being modeled as a subclass of data governance.  
- Having recognized aliases (“DQM” and “Data Quality Management”) used to refer to the same concept.  

## Body
### Classification and Position in the Knowledge Graph
- **Entity name:** data quality management  
- **Wikidata description:** area of research  
- **Instance of:** field of study  
- **Subclass of:** data governance  

### Relationship to Data Governance
- Data quality management is categorized under **data governance**.
- Data governance is described as a **capability that enables an organization to ensure high data quality**.
- This places data quality management within the broader governance context concerned with achieving high data quality.

### Names and Aliases
- Common aliases include:
  - **DQM**
  - **Data Quality Management**

### Identifiers and Coverage
- **Google Knowledge Graph ID:** `/g/121d1g1b`
- **Sitelink count:** 1
- **Wikipedia languages noted:** fr (French)