Governance Modules Library Overview
Facilitating Computer Aided Governance on dApps and DAOs through Specs and Examples
Please note that this Governance Modules Library is created by BlockScience and is currently under ongoing development. You acknowledge and understand that any implementations you make of the specifications from this Governance Modules Library is solely at your own risk.
What is the Governance Modules Library
The Governance Modules Library (GML) is a curation of both new and classic modules for governance in dApps and DAOs. Its stated goal is to spread best practices and innovation as well as to accelerate adoption of Soroban as an ecosystem by providing a batteries-included experience for enhancing DAOs and dApps governance.
Governance Modules are templates that can be readily implemented and tuned to specific applications which depend on or require governance solutions. As Governance is a wide topic, we've opted to categorize those templates across typical Web3 use cases, such as 1) how to attribute numerical power to a user (Power Attribution), 2) how to funnel that power through specific signals (Signaling Forms), 3) how to associate identity and/or rights with a user (Identity / Rights Management), and 4) how to generate representative signals from behavioral and/or reputational components (Reputation Metrics). Those use cases are by no means exhaustive, and further categorizations may arise as inspired by efforts such as distilling Metagov's Govbase.
What should a Governance Module contain in order to be published?
A parent page with its title as the name of the module, containing the following sections:
Summary
Use Cases
User Journey
Module-specific Adjustments
The following sub-pages:
Specification
Implementation Instructions
Tuning Guidelines
Simulations
Each page should indicate its primary authors (individuals and/or organizations) and a date.
Any further modifications / contributions can be acknowledged and/or listed as authors. Dates must be indicated.
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