Quality-Aware and Verifiable Data Valuation in Decentralized Networks. Unlocking fragmented data resources to enhance the fairness and trustworthiness of collaborations in decentralized networks is a

Description

Quality-Aware and Verifiable Data Valuation in Decentralized Networks. Unlocking fragmented data resources to enhance the fairness and trustworthiness of collaborations in decentralized networks is a vital challenge. This project aims to develop a quality-aware and verifiable data valuation framework for the challenge. The framework generates new knowledge in decentralized data ecosystems through innovative approaches to data representation, multi-dimensional quality assessment, and secure verifications. Project outcomes include theoretical advancements in data valuation and a prototype system demonstrating cross-organizational data collaboration. It strengthens national security and improves healthcare delivery by filtering malicious data and utilizing valuable data to build robust systems across the nation.. Scheme: Discovery Early Career Researcher Award. Field: 4605 - Data Management and Data Science. Lead: Dr Jie Xu