The 20-Year File: A Zero-Dependency Architecture for Digital Paratypes

This technical note describes a practical way to publish datasets and visualizations as a single, durable HTML file that runs offline. The implementation uses native browser standards, just Vanilla JavaScript (standard ECMAScript) and CSS3. It vendors all visualization code into the document. The dataset is stored inline, eliminating fetch calls and external dependencies. Borrowing from taxonomy: if the digital holotype is the raw dataset, this describes a "digital paratype," packaging analysis and figures alongside data in a single archival file. The methodology is demonstrated in the Michigan Cannabis Market Analysis, a 74-month longitudinal economic dataset. Unlike a static PDF, the document rewrites itself at load time, recomputing durations, refreshing labels, and updating summary text from embedded data. This keeps the narrative aligned as the dataset grows. The "evergreen" workflow means replacing the monthly JSON payload triggers automatic recomputation without rebuilds. The same approach supports multilingual publication; six languages were added without an API. Performance validation using Lighthouse and PageSpeed Insights shows strong interactivity and accessibility on typical devices. Standard growth models suggest multi-century operability is mathematically possible. Unlike physical specimens that require protection from damage, these digital artifacts survive through distribution. The preservation strategy shifts from custody to replication. At 325KB for seven years of data, the artifact functions as "viral data"; distributable via email, thumb drives, or web hosting while remaining completely self-contained. Availability: The paper is here - https://tjid3.org/tech The live artifact is accessible at https://tjid3.org/