Metadata Diagnostics
Idea
How might we use emerging technologies to enhance metadata?
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: