Catalogue Raisonné Data Artifact

Plain-English Overview

This project explores a new approach to cataloguing artists’ careers as a permanent, presentation-independent data artifact.

Rather than treating catalogues as websites or documents, the work focuses on modeling an artist’s life and output as structured data — artworks, exhibitions, publications, collections, themes, and relationships — stored in a form designed to remain understandable and usable far into the future.

The goal is longevity. By prioritizing clarity, explicit structure, and minimal assumptions, the data can be revised, extended, and reinterpreted over time without breaking or becoming obsolete. The format is designed to survive changes in software, platforms, and presentation styles, ensuring that the record itself remains intact even as technologies evolve.

This project establishes best practices for archival data modeling and serves as the technical foundation behind modern catalogue raisonné websites and long-term artist archives developed across other studios.

Contibutors

Alex Stevovich

Alex Stevovich is an independent polymath guided by a self-directed perspective. His projects focus on original content and innovation developed through discovery-driven work grounded in first-principles thinking.

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