Blockchain for Data Science

Abstract

Nowadays, the development of social information and network leads to the explosive growth of data. The increasing amount and diversity of data have also encouraged researchers to make business decisions by analyzing the big data generated. This has also caused the rapid development of the data science industry. However, there are still many challenges to be solved, especially data security and privacy. Data security and privacy threat permeate every link of data science industry chain, such as data production, collection, processing and sharing, and the causes of risk are complex and interwoven. Blockchain technology is highly praised and recognized for its decentralized infrastructure, anonymity, security and other characteristics. It will change the way we access and share information. We believe that blockchain technology can overcome some limitations in data science and promote the development of data science, but it may also bring some other problems. Therefore, it is necessary to explore the relationship between blockchain technology and data science. In this paper, we investigate the researches and applications of blockchain technology in the field of data science and give the potential advantages and challenges that blockchain technology may bring to data science.