The Quadrant Protocol is envisaged as a blockchain-based network protocol that enables the access to, creation and distribution of data products and services with authenticity and provenance at its core. It is envisioned to act as a blueprint that provides an organised system for the utilisation of decentralised data.Quadrant maps disparate data sources so that new, innovative data products can potentially be created to help companies meet their data needs.
The Quadrant Protocol is a decentralised data blueprint. It is ingestion, processing and storage agnostic. Quadrant is designed to work with both centralised and decentralised services. The architecture consists of the core Quadrant blockchain, clients (Data Producer, Data Consumer and Anchor) and Guardian Nodes. Quadrant will operate on a Proof of Authority consensus mechanism so that it can handle more transactions, operate at a lower gas price, achieve faster transactions and restrict malicious nodes from entering data into the network. An external Proof of Work chain will be used as an anchor for security purposes. For the time being, the Ethereum blockchain will be used for anchoring but it can be replaced by any public chain in the future if needed.
Quadrant will have the following initial features and services:
- Data Stamping Protocol
- Stamp Verification
- Open Constellations
- Network Nodes and Clients
- Data Enhancement by Elons
- Public Chain Anchors
Vast amounts of authentic data are needed to power today’s algorithms, however the current data economy is fraught with problems. There is an ever-widening gap between those with the resources to collect and store their own data and those that do not. The data these have-nots do have access to is often fragmented and of questionable authenticity—the kind of data that produces poor results when fed to algorithms. Part of the reason why the data lacks authenticity is because the suppliers of it are not properly incentivized. Fair revenue distribution does not exist for both data producers and vendors. Without a healthy and transparent data economy, the increasing demand for authentic data will not be met.
Quadrant aims to solve these problems by providing a blueprint for mapping disparate data sources. It will support proof of data authenticity and provenance via data stamping, the creation of “Constellations” (data smart contracts) for disparate data sources, and fair remuneration and incentive sharing. Data Consumers can trust the authenticity of the data they purchase, “Nurseries” (Data Producers) are compensated fairly every time their data is used, and “Pioneers” (Data Vendors) have the incentive to create innovative Constellations. This new transparent ecosystem ensures that companies get the authentic data they need.
Data Consumers, Pioneers, Nurseries and Elons are all projected to benefit from Quadrant.
- First and foremost, Data Consumers (AI, Machine Learning and other data-hungry companies) are intended to have access to authentic data feeds. This will help them to achieve the best results from their data-driven solutions. Quadrant also helps them with regulatory compliance because they can be sure of data provenance.
- Pioneers will be able to prove the ownership of their data products and ensure that they transact only what they stamp. Quadrant will potentially help them to be seen as a transparent and trusted supplier. They are intended to be able to ensure proper incentive sharing with other entities using their feed, as well as having the incentive sharing process automated.
- Nurseries are intended to be rightfully remunerated for any data that they provide, regardless of how many times it is sold by Pioneers on the Quadrant network. They will be able to see how far up the chain that their data is used, and they can provide their data to multiple Constellations that solve different problems.
- Elons potentially have the power to change the world using the Constellations mapped onto the Quadrant network. These are intended to be some of the smartest people and companies on the planet that can do incredible things with data. They should be able to create linkages between disparate data sources to develop new data products that will help everyone from individuals and SMEs to Fortune 500 companies. There is no question that the world needs this if it is going to meet the challenges of the future