Capsule Network
EN
EN
  • Overview
  • 🧑‍🎓Network 101
    • Why Does AI Need Your Experience Data
    • How Does AI Utilize Experience Data
    • Use Cases of Experience Data in Various Industries
    • Our Unique Killer Use Cases
  • 🤩What Makes Network Unique
    • Autonomous Data Governance To Ensure Fair Rewards
    • ADG-Centric Network Architecture
      • Data Acquisition Layer
      • Data Processing Layer
      • Data Retrieval Layer
      • Data Transformation Layer
      • Value Creation Layer
      • Autonomous Data Governance Layer
    • AGD-Aligned Roles
    • One Wallet One Entity
  • Token Economics
  • HOW TO PARTICIPATE
    • Data Producer
    • Data Mapping and Schema Developer
    • Data Validator
    • Data Annotator
    • Data Consumer
Powered by GitBook
On this page
  • Data Collection
  • Data Ingestion
  1. What Makes Network Unique
  2. ADG-Centric Network Architecture

Data Acquisition Layer

The experience data journey begins with the data acquistion layer, which will collect and ingest the data into the network

Data Collection

Below indicates the typical classifications, categories and sources of target data for the network

Data Classification
Data Category
Description / Examples

Telemetry Data (Automated Passive Data Collection )

IoT Devices (Sensors, Wearables, Smart Appliances, Autonomous Vehicles, etc.)

Ambient Data, Fitness Data, Wellness Data, User Behaviour Data, etc.

Mobile Devices (Mobile Phones, Tablets, AR /VR Devices, etc. )

Application Data, Website Interaction Data, Browser Extension Data, Operating System Data, Geolocation Data, Mobile Sensor Data, etc.

Active Online Data (Collected via User's Action)

User Generated Data

Multimedia (Photos, videos, audio recordings), Text (Survey, Feedback Forms, Writings, etc.)

App Generated Date

Purchase History, RSS, Bookmarks, Comments and Posts on Social Media Platforms, etc. * Can also be uploaded via automated processes

Offline Data

Crowdsourced Data

Community Reports (User-reported events such as traffic incidents, road conditions, or emergency alerts)

Lifestyle Data

Physical material generated from daily activities (Receipts, Bills, etc.)

Ambient Data

Data pertaining to the user's surroundings, captured as text, image or videos

Blockchain Data

Transaction Data

On-chain activity and transaction history from cryptocurrencies like Bitcoin, Ethereum.

Smart Contract Interactions

User interactions with decentralized applications (dApps), token exchanges, and DeFi protocols.

NFT Metadata

Ownership and usage data from non-fungible tokens (NFTs) on Dapps

Data Ingestion

Data ingestion method varies depending on the Data Classification

Data Classification
Data Ingestion Method

Telemetry Data (Automated Passive Data Collection )

SDK / API , Scraping

Active Online Data (Collected via User's Action)

User Uploading

Offline Data

User Uploading (To be processed by OCR)

Blockchain Data

Remote Procedure Calls on Blockchain Nodes

PreviousADG-Centric Network ArchitectureNextData Processing Layer

Last updated 7 months ago

🤩