What is Data Network (DATA)?

The development of artificial intelligence models has brought about the need for a large amount of high-quality data. However, questions such as who generates this data, under what conditions it is collected, and how license verification is used are becoming increasingly important. In particular, the opaque sources of data used for artificial intelligence training raise major questions for developers and regulators.

Data Network (DATA) is a blockchain-based open data protocol designed to solve this problem.

The Data Network, developed by the Data Foundation, aims to create a verifiable recording system for human-generated data used in training artificial intelligence models. The platform aims to achieve transparent traceability of data sources by integrating data collection applications, on-chain verification layers, and data processing infrastructure into the same ecosystem.

So what is Data Network (DATA)? How does it work? What purpose is DATA token used? Here is what you need to know about the project.

What does the Data Network (DATA) provide?

Data Network (DATA) is an open-source blockchain protocol designed to enable the verifiability of human-derived data used in training artificial intelligence models.

The platform aims to create a trusted infrastructure between data providers and artificial intelligence developers. To this end, every data contribution uploaded in the system is recorded on the chain and an untamperable verification trace is generated. In this way, both the source of the data and user consent can be more easily verified.

The Data Network ecosystem is built on a structure consisting of data collection applications, verification layers, and data preparation services.

How does Data Network (DATA) work?

The platform aims to manage the entire process of collecting human-generated data through preparation for artificial intelligence models in a single ecosystem.

This architecture consists of three core components: a data collection application, a Trace verification layer, and a Poseidon data processing service. These components work together to ensure that data is reliably recorded and of a quality that can be used in artificial intelligence models.

Data collection application

Data Network runs through an application that allows users to upload content they create to contribute.

According to information shared by the platform, applications in the ecosystem include Kled and Otobu, and there are plans to add Numo and Miso applications to the system in the future.

In particular, Kled is described by the platform as the world's largest opt-in human data market.

Users can upload their own created content such as photos, videos, recordings and texts to the system through these apps.

Trace Verification Layer

One of the most important components of the Data Network is the verification layer called Trace.

Trace stores every data contribution added to the platform as an untamperable receipt on the chain.

Each record is verified with a cryptographic hash and can be traced by whom the data was added to the system and through what approval process.

With this structure, artificial intelligence companies and regulators can verify data sources in a short period of time.

The raw data collected by the Poseidon data processing service

cannot always be directly used in artificial intelligence models.

Therefore, the Data Network uses a data processing and annotation service called Poseidon.

Poseidon aims to convert raw data uploaded in the system into a dataset that can be used for training artificial intelligence models by cleaning, organizing and labeling it.

Outstanding Features of Data Network

This platform provides multiple functions for artificial intelligence data infrastructure.

Data Source Verification

Each data record uploaded to the Data Network is recorded using a cryptographic hash generated on the public blockchain network.

In this way, AI developers and regulators can more quickly check the source, user consent and accuracy of the data.

Data access for privacy

The platform is designed to enable controlled access to sensitive data through an infrastructure called Confidential Data Rails (CDR).

This system allows programmatic and authorized access without directly sharing data content.

Participants earn income

Data Network provides a structure where users can earn revenue by sharing content they create.

Human-generated content such as photos, videos, recordings and text can be uploaded to the system through ecosystem apps and is designed to reward users who contribute.

Scalable infrastructure

Based on data shared by the platform, more than 1.5 billion data records have been uploaded to the system to date. More than 5 million new uploads are made every day. More than 1.6 million verified receipts have been generated on the protocol.

These data show that the platform aims to build large-scale data processing capabilities.

What is the purpose of DATA Token?

DATA is a native utility token for the Data Network ecosystem.

This token is used for network governance, pledge mechanisms and various payment transactions within the ecosystem.

According to the information shared by the platform, the main uses of DATA tokens are as follows:

Governance

DATA holders can participate in various decision-making processes related to the future of the network.

Pledge

Token holders can contribute to network operations by pledging their DATA tokens.

Payment infrastructure

Various services and transactions within the ecosystem can be conducted using DATA tokens.

Data Network (DATA) Token Economics

Total Supply

Total Supply: 1.03 billion DATA

Token Allocation

Ecosystem and Communities: 37.573%

Early supporters: 21.135%

Core contributors: 19.569%

Initial incentives: 9.785%

Other: 9.785%

From the perspective of token allocation, the largest share is used for ecosystem and community development. In addition, a specific percentage of tokens is allocated to early investors, core contributors and initial incentive plans.

Data Network (DATA) Investors

Data Network announced that it has received US$216.3 million in investment to date. The project is supported by an extensive investor network consisting of venture capital funds, incubation plans, institutional investors and angel investors.

platform are as follows:

First echelon

Andreessen Horowitz (a16z crypto), Polychain Capital, Balaji Srinivasan

Second Tier

Hashed, Mirana Ventures, Alliance DAO, Samsung Next

Third echelon

Foresight Ventures

Fourth echelon

Endeavor Catalyst, Insignia Ventures Partners, Berggruen Holdings, SLVC, Two Small Fish Ventures

Other investors

dao5, Cozomo de Medici, Roham Gharegozlou, Charlie Songhurst, Adrian Cheng, David Lee, 11:11 Media, David Bonderman, Heritage Distillling, Scott Trowbridge

Data Network (DATA) Team

The Data Network team consists of people who serve in the areas of artificial intelligence data infrastructure, product development and strategic management. The project's management team brings together managers with responsibilities in different areas such as technology development, finance, operations and strategic planning.

The team members announced by the platform are as follows:

Seung Yoon Lee -Co-Founder, CEO

Jason Levy -Co-Founder, Consultant

Jason Zhao -Co-Founder, Core Contributor

Ben Sternberg -Chief Financial Officer

Hao (Leo) Chen -Chief Technology Officer

Seung Soo Kim -Chief of Staff

Jon Rogers -Strategic Advisor