Constructing a Common Data Circulation Infrastructure Platform for the National Unified Data Factor Market——Technical Path and Policy Thinking of Constructing the National “Data Networking” Root Service System
1Department of Information Management, Peking University, Beijing 100871, China 2Department of Big Data Development, State Information Center, Beijing 100045, China 3School of Information Resource Management, Renmin University of China, Beijing 100872, China 4Department of Research and Consulting, Greater Bay Area Big Data Research Institute, Shenzhen 518048, China
[Objective] This paper is to construct a common data circulation infrastructure for the national unified data factor market. Establish a unified data identification coding and analysis system of basis data objects such as people, enterprises, cars, things and places. Guide all parties to strengthen the management of data classification, grading and identification calibration during the whole process of data factor circulation. Give support to provide common public services, such as data registration and filing, supply and demand matching, credit evaluation, compliance notarization, asset evaluation, etc. Promote the interconnection and integration development of nationwide cross-regional and cross-industry data factor circulation trading platforms. Provide safe and credible circulation environment and common public services for various market entities involved in data transactions. [Methods] We conduct a literature review on the recent development of related technologies to promote data circulation and transaction at home and abroad. Given the common difficulties the domestic data factor market construction comes across, we propose the national “data networking” root service system. [Results] This paper clarifies the construction ideas the national “data networking” root service system, with data identification fusion, blockchain interoperability and privacy preserving computing platform interoperability served as the basic support and the public service system of data circulation and transaction served as the carrier. [Limitations] Further research is needed to demonstrate the completeness, scalability and robustness of this proposed technical path. [Conclusions] The proposed national “data networking” root service system plays an important role in building the common data circulation infrastructure platform, providing safe and credible common public services and cultivating the data factor market and industrial ecology.
窦悦, 易成岐, 黄倩倩, 莫心瑶, 王建冬, 于施洋. 打造面向全国统一数据要素市场体系的国家数据要素流通共性基础设施平台*——构建国家“数联网”根服务体系的技术路径与若干思考[J]. 数据分析与知识发现, 2022, 6(1): 2-12.
Dou Yue, Yi Chengqi, Huang Qianqian, Mo Xinyao, Wang Jiandong, Yu Shiyang. Constructing a Common Data Circulation Infrastructure Platform for the National Unified Data Factor Market——Technical Path and Policy Thinking of Constructing the National “Data Networking” Root Service System. Data Analysis and Knowledge Discovery, 2022, 6(1): 2-12.
( Li Yuan, Gao Ning, Sun Jing, et al. Research and Exploration of Big Data Transaction Model Based on Blockchain[J]. Big Data Research, 2021, 7(4):37-48.)
( Yang Maojiang. A Design of Data Trading Platform Based on Cryptology and Blockchain Technology[J]. Information and Communication Technologies, 2016, 10(4):24-31.)
( Xia Junjie, Sun Ye, Yang Haitao, et al. Research and Application of Data Asset Protection and Trading Platform Based on Blockchain[J]. Designing Techniques of Posts and Telecommunications, 2019(9):5-9.)
( Zhang Ting. A Study of Digital Assets' Copyright Confirmation and Transaction Based on Block Chain Technology[J]. Journal of Fujian University of Technology, 2019, 17(1):65-71.)
( Wang Ruijin, Tang Yucheng, Zhang Weiqi, et al. Privacy Protection Scheme for Internet of Vehicles Based on Homomorphic Encryption and Block Chain Technology[J]. Chinese Journal of Network and Information Security, 2020, 6(1):46-53.)
( He Shuai, Huang Xiangnian, Chen Xiaoliang. The Research Summary of the Development and Application of Blockchain Cross-chain Technology[J]. Journal of Xihua University (Natural Science Edition), 2021, 40(3):1-14.)
[9]
Wang G. SoK: Exploring Blockchains Interoperability[J]. IACR Cryptol. ePrint Arch., 2021: 537.
[10]
Wood G. Polkadot:Vision for a Heterogeneous Multi-Chain Framework[EB/OL]. [2021-11-08].https://polkadot.network/PolkaDotPaper.pdf .
( Guo Zhao, Guo Shuaiyin, Zhang Shengli, et al. Analysis of Cross-Chain Technology of Blockchain[J]. Chinese Journal on Internet of Things, 2020, 4(2):35-48.)
( Yan Shu, Lyu Ailin . Overview of the Development of Privacy Preserving Computing[J]. Information and Communications Technology and Policy, 2021, 47(6):1-11.)
( Fu Fangcheng, Hou Chen, Cheng Yong, et al. Key Technology and Innovation of Privacy Preserving Computing[J]. Information and Communications Technology and Policy, 2021, 47(6):27-37.)
[19]
Arachchige P C M, Bertok P, Khalil I, et al. A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems[J]. IEEE Transactions on Industrial Informatics, 2020, 16(9):6092-6102.
doi: 10.1109/TII.9424
[20]
Huang X, Ding Y, Jiang Z L, et al. DP-FL: A Novel Differentially Private Federated Learning Framework for the Unbalanced Data[J]. World Wide Web, 2020, 23(4):2529-2545.
doi: 10.1007/s11280-020-00780-4
OpenMined Team. OpenMined[EB/OL].[2021-11-22]. https://www.openmined.org/ .
[29]
Microsoft Team. Microsoft SEAL[EB/OL]. [2021-11-22].https://github.com/Microsoft/SEAL .
[30]
Zhao C C, Saifuding D, Tian H L, et al. On the Performance of Intel SGX[C]// Proceedings of the 13th Web Information Systems and Applications Conference(WISA), Porto, Portugal. 2016.
( Xu Qian, Zhang Qing, Yu Bo, et al. Middleware and Blockchain Based Interconnecting System of Heterogeneous Privacy Preserving Computing Platforms[J]. Information and Communications Technology and Policy, 2021, 47(6):38-49.)
( Xu Wei, Wang Yunhe, Jin Chen, et al. Thoughts on Interconnection of Data Circulation Platform Based on Privacy Computing[J]. Financial Computerizing, 2021(9):72-73.)
( Xie Jiagui, Qi Chao, Zhu Jiajia. Architecture and Deployment Progress of Identifier Resolution System for Industrial Internet[J]. Information and Communications Technology and Policy, 2020(10):10-17.)
[36]
Jung M Y, Kim W S, Chung S H, et al. A Blockchain-based ID/IP Mapping and User-friendly Fog Computing for Hyper-connected IoT Architecture[J]. IJICTDC, 2017, 2(2):12-19.
[37]
Ghosh A, Mahdian M, McAfee R P, et al. To Match or Not to Match: Economics of Cookie Matching in Online Advertising[J]. ACM Transactions on Economics and Computation(TEAC), 2015, 3(2):1-18.
[38]
Efthymiou V, Stefanidis K, Christophides V. Minoan ER: Progressive Entity Resolution in the Web of Data[C]// Proceedings of the 19th International Conference on Extending Database Technology (EDBT), Bordeaux, France. 2016.
( Shen Zhihong, Zhao Zihao, Wang Haibo. Big Data Technology Stack Shifting: From SQL Centric to Graph Centric[J]. Data Analysis and Knowledge Discovery, 2020, 4(7):50-65.)
( Chi Cheng, Chai Senchun, Xie Bin. Research on Management and Application Technology for Industrial Internet Identification Data[J]. Information and Communications Technology and Policy, 2019, 45(8):47-51.)
[42]
Belchior R, Vasconcelos A, Guerreiro S, et al. A Survey on Blockchain Interoperability: Past, Present, and Future Trends[J]. ACM Computing Surveys(CSUR), 2021, 54(8):1-41.
( Kang Bohan, Zhang Ning, Zhu Jianming. Research on Inter-Blockchain Service Framework and Communication Mechanism Based on Smart Service Transaction[J]. Chinese Journal of Network and Information Security, 2021, 7(3):105-114.)
( Min Xinping, Li Qingzhong, Kong Lanju, et al. Permissioned Blockchain Dynamic Cosensus Mechanism Based Multi-Centers[J]. Chinese Journal of Computers, 2018, 41(5):1005-1020.)