# data normalization

> reduction of data to any kind of canonical form

**Wikidata**: [Q5227325](https://www.wikidata.org/wiki/Q5227325)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Data_normalization)  
**Source**: https://4ort.xyz/entity/data-normalization

## Summary
Data normalization is the process of reducing data to a canonical form. It is a data-management process used to make data consistent and standardized across systems and contexts.

## Key Facts
- Data normalization is defined as the reduction of data to any kind of canonical form.
- Instance type: process.
- Subclass of: data management (disciplines related to managing data as a resource).
- Common aliases: data normalisation, normalization.
- Wikipedia title: "Data normalization" (language: en).
- Wikidata description: "reduction of data to any kind of canonical form."
- Sitelink count for this entity: 1.
- Related process: diacritic folding (normalizing text by removing diacritical marks).
- Permanently duplicated item (probable): canonicalization.
- Listed in the Dictionary of Archives Terminology under "normalization" (identifier P958:2).

## FAQs
### Q: What is data normalization?
A: Data normalization is the process of reducing data to a canonical form. It standardizes data so that different representations map to a consistent, common form.

### Q: Is data normalization the same as canonicalization?
A: Data normalization is closely related to canonicalization. In available records, canonicalization is a probable duplicated item for data normalization, indicating strong overlap but not an absolute equivalence in every context.

### Q: How does data normalization relate to diacritic folding?
A: Diacritic folding is a specific text-normalization process that removes diacritical marks from characters. It is listed as a related process to data normalization.

### Q: In what discipline is data normalization categorized?
A: Data normalization is categorized under data management, the set of disciplines concerned with managing data as a resource.

## Why It Matters
Data normalization matters because it creates a consistent, canonical form for data, which is essential for managing data as a resource. When data is reduced to a standard form, it becomes easier to compare, combine, and process across systems and workflows. Normalization reduces ambiguity from multiple representations of the same information and supports interoperable use of data. As a process within data management, normalization underpins tasks such as indexing, searching, and data integration by ensuring that equivalent values are represented uniformly. Its role connects to more specific techniques (for example, diacritic folding for text) and to related concepts like canonicalization, reinforcing its central position in efforts to maintain data quality and usability.

## Notable For
- Being defined primarily as the reduction of data to a canonical form.
- Classification as a process and as a subclass of data management.
- Having common variant spellings and aliases: "data normalisation" and "normalization."
- Close association with canonicalization (noted as a probable duplicate).
- Explicit linkage to specific text-normalization processes such as diacritic folding.

## Body
### Definition
- Data normalization: the reduction of data to any kind of canonical form.
- It is described as a process rather than an object or tool.

### Classification
- Instance of: process.
- Subclass of: data management.
- Parent class description: data management = disciplines related to managing data as a resource.

### Identifiers and Names
- Primary title (Wikipedia): "Data normalization" (en).
- Aliases: data normalisation, normalization.
- Wikidata description matches the primary definition: "reduction of data to any kind of canonical form."
- Sitelink count for this entry: 1.

### Related Items and Duplicates
- Related process: diacritic folding — normalizing text by removing diacritical marks.
- Permanent duplicated item: canonicalization (sourcing_circumstances: probably), indicating frequent overlap in meaning or usage.

### Reference Entries
- Listed in the Dictionary of Archives Terminology under "normalization" with identifier P958:2.

### Role and Scope
- Functions as a standardization step within broader data management activities.
- Applied to make different representations of data consistent with a canonical form.
- Supports interoperability and uniform handling of data across systems and processes.