OpenCann is a community-governed, open-source data marketplace where anyone can publish, buy, and use cannabis research data. Our goal is to incentivize knowledge sharing and increase data availability at every point in the cannabis value chain from regulators to researchers, clinicians, product producers, and consumers. We’re building on web3 social rails to support the nascent cannabis data economy - with bleeding edge data science and AI tech under the hood.

Community-scale experiments in decentralized science have yet to fully test hypotheses regarding the effectiveness of various forms of governance at increasing profitability. Some approaches represent a modest divergence from traditional models of scientific entrepreneurship. While others take a more radical approach with the goal of achieving success via increased throughput or targeting obscure and traditionally underfunded areas of research. The current iteration of OpenCann lands squarely in the latter category through the culmination of two years of research to identify best practices across the fields of DeFi and DAOs (specifically, data DAOs).

Our app is a decentralized front-end stored on the Near Protocol Blockchain Operating System (BOS). We’re integrating password based FastAuth non-custodial wallet login (enables non-web3 native onboarding), a custom-built attestation-based knowledge graph, decentralized compute, and encryption by default. The marketplace and governance attribution system are being built using Hyperfiles.org. Hyperfiles enables OpenCann users to query relevant data and submit data science jobs as .JSON config files which can be created using a “drag & drop” no-code data science pipeline builder.