Metadata Diagnostics

Background

Effective metadata management is crucial for large collections of digital assets. With the advent of emerging technologies like large language models (LLMs) and artificial intelligence (AI), metadata can be transformed for discoverability, accessibility, preservation, and data mining readiness.

Hypothesis

Digital collection stewards need to enhance their collections' accessibility, preservation, discoverability, and data mining readiness.

• Accessibility: Ensuring that the collection is accessible to a diverse range of users, including those with disabilities.
• Preservation: Implementing measures to safeguard the long-term integrity and usability of the collection.
• Discoverability: Enhancing the discoverability of the collection to facilitate effective search and retrieval.
• Data Mining Readiness: Assessing the collection's readiness for data mining and analytics.

Audiences

To test this hypothesis we identified two possible groups of people to participate.

• Strategic Decision Makers: Need a high-level metadata landscape.
• Metadata Specialists: Want a tactical view to improve the quality and consistency.

Metadata Landscape

The overview provides decision-makers with a high-level metadata landscape, enabling them to make informed choices about resource allocation and prioritization.

Tactical View

For metadata specialists, the tool provides a tactical view that guides them in taking specific actions to improve the quality and consistency of the metadata.