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Knowledge Engineering for Open Science: Building and Deploying Knowledge Bases for Metadata Standards
Mark A Musen1, Martin J O'Connor1, Josef Hardi1
1Division of Computational Medicine, Stanford University School of Medicine, Stanford, California, USA.
AI Magazine
|July 1, 2026
Summary
Scientists need standardized metadata for FAIR data. The Center for Expanded Data Annotation and Retrieval (CEDAR) uses templates to encode metadata standards, improving data discoverability and reusability.
Area of Science:
- Scientific data management
- Open science initiatives
- Metadata standards development
Background:
- Achieving FAIR data principles (Findable, Accessible, Interoperable, Reusable) requires rich, standardized metadata.
- Lack of standardized metadata hinders data understanding and reuse across scientific disciplines.
- Existing metadata standards can be difficult for researchers and curators to implement.
Purpose of the Study:
- To introduce the Center for Expanded Data Annotation and Retrieval (CEDAR) technology for creating and applying metadata standards.
- To demonstrate how CEDAR templates facilitate community-driven metadata standardization.
- To promote the adoption of standardized metadata for enhanced data sharing and open science.
Main Methods:
- Development of CEDAR technology to encode metadata standards as templates.
- Templates enumerate experimental attributes and link them to ontologies or controlled vocabularies.
- Application of CEDAR templates to standardize metadata for scientific consortia and data annotation systems.
Main Results:
- CEDAR templates capture community metadata preferences, enabling standardized data description.
- Templates have been used to standardize metadata for various scientific consortia.
- CEDAR-based systems facilitate metadata acquisition (e.g., via web forms, spreadsheets) and ensure standard adherence.
Conclusions:
- CEDAR provides a mechanism for scientific communities to establish and deploy shared metadata standards.
- The technology encodes community knowledge in a symbolic form for application in intelligent systems.
- CEDAR promotes open science by improving data findability, accessibility, interoperability, and reusability.
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