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Blockchain-Based Research Collaboration and Attribution Platform

nix-united.com

Education

Information technology

Research

Challenges in Scientific Research Collaboration and Attribution

Researchers face significant delays in communicating findings due to fragmented systems, lack of formal recognition for preliminary work, and difficulties in proving provenance of research artifacts. Existing platforms fail to provide immutable attribution records or seamless integration between blockchain and traditional research data systems.

About the Client

Leading academic research institution focused on advancing scientific collaboration and scholarly communication

Key Project Goals

Create a unified platform for managing research artifacts and provenance tracking
Implement blockchain-based attribution and citation mechanisms
Enable real-time recognition for researchers' contributions
Integrate public permissioned blockchain with existing academic data ecosystems
Establish secure, immutable records for both published and unpublished research outputs

Core System Capabilities

Single Sign-On (SSO) authentication for seamless access
Proof-of-Existence transactions for research artifacts
Smart Contract-based citation tracking
Integration with Microsoft Academic Graph and similar science graphs
Real-time researcher profile updates with citation metrics
Blockchain-agnostic architecture through broker service

Technology Stack

Hyperledger Sawtooth

React/Redux

Python (Django)

MongoDB

PostgreSQL

Grafana

Docker

Rancher

System Integrations

Microsoft Academic Graph
Bloxberg public permissioned blockchain
CI/CD pipelines (GitLab, Drone)
Monitoring tools (Sentry, Jira)
Microservices management (Rancher)

Non-Functional Requirements

High-throughput blockchain transaction processing
Immutable data storage with cryptographic verification
Real-time data synchronization across systems
Scalable architecture for global research community
Compliance with academic data privacy regulations

Expected Business Impact

The platform will accelerate scientific discovery by reducing communication barriers, enhance researcher recognition through immutable attribution records, and increase trust in academic outputs through blockchain-verified provenance. It will establish a new standard for research collaboration infrastructure while maintaining compatibility with existing academic ecosystems.