AI Metadata Mapping

Idea

How might we connect metadata to the Getty Vocabulary using emerging technologies.

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.

• 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.

Hypothesis

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

Audiences

To test this hypothesis we identified two possible groups of people to participate, strategic decisions makers and metadata specialists

Overview for informed decisions

The overview provides decision-makers with a high-level metadata landscape, enabling them to make informed choices about resource allocation and prioritization. This comprehensive view encompasses four key areas:

Tactical actions for enhanced metadata

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. This granular view enables them to: