## Metadata

Metadata is essential for managing and understanding research data, but it can take different forms depending on how it is organised and used. Structured metadata refers to data that is organized in a defined, consistent format, often within a specific schema or database. This allows for easy searchability, categorization, and integration across different platforms.

Unstructured metadata consists of more flexible, free-form information that doesn’t follow a specific format. This could include descriptions, notes, or other contextual information that provides valuable insights but may not fit neatly into a standardized framework. While unstructured metadata may require more effort to manage and analyse, it often captures nuances and details that structured metadata cannot.

In this section, we will explore the differences between structured and unstructured metadata, how they are used in research, and the strengths and limitations of each. Understanding these two types of metadata will help you choose the right approach for documenting and managing your data, ensuring it remains accessible and meaningful for future use.