Extenscience Protocol

Official protocol specification for Extenscience covering health data submission standards, Scientific Review Engine scoring rubric, and IP-NFT metadata schema.

Repository Structure

• data-submission/ — JSON schemas for each of the 8 health data categories
• review-engine/ — Scoring rubric and algorithm spec for the Scientific Review Engine
• ip-nft/ — IP-NFT metadata standard and on-chain attribute definitions
• governance/ — DAO proposal format and voting rules
• changelog/ — Version history of protocol changes

Protocol Overview

Health Data Categories (8 total)

Each submission belongs to one of:

• biomarkers — Blood panels, hormone levels, metabolic markers
• wearables — HRV, sleep, activity, continuous glucose
• genetics — SNPs, polygenic scores, methylation age
• nutrition — Dietary logs, supplementation, micronutrient levels
• exercise — VO2max, strength metrics, recovery data
• cognition — Reaction time, memory, executive function scores
• body-composition — DEXA, visceral fat, muscle mass
• environmental — Toxin exposure, air quality, circadian data

Scientific Review Engine

Score computed from 3 dimensions (0–100 total):

• Completeness (0–40 pts): Required fields present, units specified, date ranges valid
• Plausibility (0–40 pts): Values within physiologically credible ranges, no outlier anomalies
• Source Quality (0–20 pts): Lab-certified > wearable-device > self-reported

Threshold: Score ≥ 50 qualifies for IP-NFT minting.

IP-NFT Metadata Schema

Required on-chain attributes (Metaplex Core compatible):

• data_category: One of the 8 categories above
• quality_score: Integer 0–100
• rarity_tier: Common (50–64) | Rare (65–79) | Epic (80–94) | Legendary (95–100)
• contributor_wallet: Solana public key
• submission_date: ISO 8601
• license: "CC BY 4.0"
• revenue_share_bps: 500 (5%)
• arweave_uri: Permanent metadata URI

Version

Current protocol version: v1.0.0

Contributing

Protocol changes require DAO governance approval. See governance/dao-rules.md for proposal procedures.