Frontiers of Data and Computing ›› 2023, Vol. 5 ›› Issue (5): 46-62.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.05.005

doi: 10.11871/jfdc.issn.2096-742X.2023.05.005

• Special Issue: Key Technologies for Safe and Efficient Circulation of Data Elements • Previous Articles     Next Articles

A Survey on Blockchain-Based Trusted Data Elements Circulation

ZHONG Ziyue(),ZHU Changhao,LI Junzhe,ZHANG Meihui*()   

  1. School of Computer Science & Technology, Beijing Institute of Technology, Beijing 100081, China
  • Received:2023-05-04 Online:2023-10-20 Published:2023-10-31


[Background] Data has become a kind of fundamental strategic resource for economic development. To fully leverage the value of data elements, a trusted data circulation system needs to be established. [Objective] As a new type of trusted data management platform, blockchain can realize the basic needs of trusted data circulation. Therefore, we discuss the trusted circulation technology of data elements based on blockchain in this survey. [Methods] From the perspective of establishing a trusted data circulation system, we first analyze the basic requirements of building a trusted circulation system for data elements. Then, we analyze the main techniques for realizing trusted circulation of data based on blockchain. Finally, we summarize current research works in the research field of blockchain that can be utilized to achieve the mentioned goals and present prospects for future research directions. [Results] Focusing on the aspects of enhancing data availability, credibility, negotiability, and traceability, we summarize and analyze the storage model, system performance scaling methods, data verification techniques, cross-chain techniques, and data provenance techniques of the existing blockchain system. [Conclusions] The existing methods can realize the trusted circulation system of data elements to some extent, yet there are still several unresolved problems in data privacy, utilization, and description.

Key words: blockchains, circulation of data elements, data management, data storage, sharding, cross-chain, provenance