My work in catalogue raisonné data architecture is a specialized application of broader data architecture practice, developed through engagements with artists, estates, and cultural institutions. The catalogue is treated as a permanent, source-controlled data artifact rather than a publication or platform, modeling an artist’s complete career as structured, versioned data designed to outlast any interface, technology, or institutional context it supports.
Data as Primary Artifact
Catalogue data exists as structured, human-readable data independent of any CMS, database platform, or presentation layer. Records are version-controlled and auditable, with every change preserved alongside its full historical context.
Because the catalogue exists as structured data, it can support multiple forms of presentation — research indexes, web catalogues, and institutional interfaces — without altering the underlying record.
Career Modeling and Relational Structure
Data modeling encompasses the full scope of an artist’s career — artworks, exhibitions, publications, essays, collectors, institutions, provenance, and critical writing. Records are modeled as interconnected entities rather than isolated entries. Relationships between data types — artworks appearing in exhibitions, essays referencing specific works, provenance chains across collections — are treated as fundamental structural concerns.
Image Resource Management
Image resources are managed alongside the data layer where required, including source files, derivatives, and associated metadata. These assets are organized within a controlled structure designed to maintain consistency with the integrity of the catalogue data.
Archival Integrity and Longevity
Systems are designed for archival longevity rather than project timelines. Normalization, explicit relationships, and controlled evolution of the data model are used to prevent drift, ambiguity, and degradation as the catalogue expands over time.
Beyond Fine Art
The methodology extends to other domains requiring comprehensive, relational records preserved across time — including institutional histories, cultural archives, and other bodies of work.