# i. Data Types & Structures

Data types and structures define how information about real estate assets is captured, organized, and interpreted. Clear structure is essential for interoperability, verification, analytics, and long-term usability across systems and stakeholders.

#### **Artifact**

A discrete unit of information, such as a document, model, or dataset, that represents a specific aspect of an asset.

#### **Data Classification**

The process of categorizing data based on type, sensitivity, or function.

#### **Data Model**

A structured framework defining how data elements relate to one another within a system.

#### **Data Schema**

A formal definition of how data fields are organized, named, and constrained.

#### **Document Metadata**

Descriptive information about a document, such as author, date, version, or source.

#### **Structured Data**

Information organized in predefined formats that enable efficient querying and analysis.

#### **Unstructured Data**

Information that lacks a predefined format, such as PDFs, images, or free-text reports.

#### **Versioned Data**

Data that tracks changes over time while preserving historical states.

#### **Data Normalization**

The process of organizing data to reduce redundancy and improve consistency.

#### **Source Data**

Original information from which derived or processed data is generated.


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