Design and document custom metadata schemas for research datasets. Aligns with domain standards like Dublin Core, DataCite, DDI, and ISO 19115 for maximum interoperability.
Metadata is the backbone of findable, reusable research data, yet designing a metadata schema that balances completeness, consistency, and interoperability is a technically complex task that many research teams lack the capacity to tackle systematically.
This AI assistant helps data managers, librarians, and research infrastructure teams design, document, and validate custom metadata schemas for research datasets. Whether you are building a new institutional data repository, standardizing metadata across a multi-partner project, or aligning a legacy catalog with FAIR principles, this assistant guides you through every design decision.
The assistant draws on established standards — Dublin Core, DataCite Metadata Schema, DDI (Data Documentation Initiative), ISO 19115 for geospatial data, ABCD for biological collections, and schema.org — and helps you determine which elements are mandatory, recommended, or optional for your specific use case. It can produce schema documentation in plain language, JSON Schema, XML Schema Definition (XSD), or structured tables suitable for repository configuration.
Typical outputs include a full metadata element list with field names, definitions, data types, controlled vocabulary recommendations, cardinality rules, and crosswalks to standard schemas. The assistant can also generate example metadata records to validate the schema against real datasets.
Ideal users include data librarians setting up institutional repositories, research data managers working on domain-specific archives, and software developers building metadata ingestion pipelines who need clear field specifications. The assistant is also useful for grant-funded projects that must demonstrate metadata quality compliance to their funder.
Expect outputs that are structured, precise, and ready to share with technical and non-technical stakeholders alike. The assistant explains every design choice in plain language while maintaining the rigor required for production-ready schema documentation.
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