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.