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Data Analysis and Knowledge Discovery  2022, Vol. 6 Issue (1): 2-12    DOI: 10.11925/infotech.2096-3467.2021.1411
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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
Dou Yue1,2,Yi Chengqi2,Huang Qianqian2,3,Mo Xinyao4,Wang Jiandong2(),Yu Shiyang2
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
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Abstract  

[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.

Key wordsData Factor      Data Networking      Circulation Transactions      Root Service System      Public Service     
Received: 15 December 2021      Published: 22 February 2022
ZTFLH:  TP391  
Fund:National Social Science Fund of China(18CSH018)
Corresponding Authors: Wang Jiandong,ORCID:0000-0001-6819-6765     E-mail: wangjd@sic.gov.cn

Cite this article:

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.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2021.1411     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2022/V6/I1/2

Structure of the National “Data Networking” Root Service System
Structure of Data Identification Fusion Basic Support System
节点层级 节点说明
顶级节点 国家“数联网”根服务体系国家级节点
二级节点 聚焦本体对象,如:人、企、车、物、地等
三级节点 聚焦区域行业
四级节点 聚焦组织机构
五级节点 聚焦独立个体
Hierarchical Design Structure of Data Identification Rule in the National “Data Networking” Root Service System
Structure of Blockchain Interoperability Basic Support System
Structure of Privacy Preserving Computing Platform Basic Support System
[1] 李源, 高宁, 孙晶, 等. 基于区块链的大数据交易模式研究与探索[J]. 大数据, 2021, 7(4):37-48.
[1] ( 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.)
[2] 杨茂江. 基于密码和区块链技术的数据交易平台设计[J]. 信息通信技术, 2016, 10(4):24-31.
[2] ( Yang Maojiang. A Design of Data Trading Platform Based on Cryptology and Blockchain Technology[J]. Information and Communication Technologies, 2016, 10(4):24-31.)
[3] 夏俊杰, 孙晔, 杨海涛, 等. 基于区块链的数据资产保护与交易平台研究及应用[J]. 邮电设计技术, 2019(9):5-9.
[3] ( 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.)
[4] 汪靖伟, 郑臻哲, 吴帆, 等. 基于区块链的数据市场[J]. 大数据, 2020, 6(3):21-35.
[4] ( Wang Jingwei, Zheng Zhenzhe, Wu Fan, et al. Blockchain Based Data Marketplace[J]. Big Data Research, 2020, 6(3):21-35.)
[5] 王海龙, 田有亮, 尹鑫. 基于区块链的大数据确权方案[J]. 计算机科学, 2018, 45(2):15-19,24.
[5] ( Wang Hailong, Tian Youliang, Yin Xin. Blockchian-based Big Data Right Confirmation Scheme[J]. Computer Science, 2018, 45(2):15-19, 24.)
[6] 张婷. 基于区块链技术的数字资产确权交易模型研究[J]. 福建工程学院学报, 2019, 17(1):65-71.
[6] ( 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.)
[7] 王瑞锦, 唐榆程, 张巍琦, 等. 基于同态加密和区块链技术的车联网隐私保护方案[J]. 网络与信息安全学报, 2020, 6(1):46-53.
[7] ( 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.)
[8] 何帅, 黄襄念, 陈晓亮. 区块链跨链技术发展及应用研究综述[J]. 西华大学学报(自然科学版), 2021, 40(3):1-14.
[8] ( 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 .
[11] 叶少杰, 汪小益, 徐才巢, 等. BitXHub: 基于侧链中继的异构区块链互操作平台[J]. 计算机科学, 2020, 47(6):294-302.
[11] ( Ye Shaojie, Wang Xiaoyi, Xu Caichao, et al. BitXHub: Side-relay Chian Based Heterogeneous Blockchain Interoperable Platform[J]. Computer Science, 2020, 47(6):294-302.)
[12] Kwon J, Buchman E. Cosmos Whitepaper[EB/OL]. [2021-11-08].https://cosmos.network/resources/whitepaper .
[13] Ethereum. BTC Relay Documentation[EB/OL].(2016-09-10) [2021-11-18].https://buildmedia.readthedocs.org/media/pdf/btc-relay/latest/btc-relay.pdf .
[14] WeCross. WeCross Blockchain[EB/OL].[2021-11-18]. https://wecross.readthedocs.io/zh_CN/latest/index.html .
[15] 郭朝, 郭帅印, 张胜利, 等. 区块链跨链技术分析[J]. 物联网学报, 2020, 4(2):35-48.
[15] ( 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.)
[16] 李凤华, 李晖, 贾焰, 等. 隐私计算研究范畴及发展趋势[J]. 通信学报, 2016, 37(4):1-11.
[16] ( Li Fenghua, Li Hui, Jia Yan, et al. Privacy Computing:Concept, Connotation and Its Research Trend[J]. Journal on Communications, 2016, 37(4):1-11.)
[17] 闫树, 吕艾临. 隐私计算发展综述[J]. 信息通信技术与政策, 2021, 47(6):1-11.
[17] ( Yan Shu, Lyu Ailin . Overview of the Development of Privacy Preserving Computing[J]. Information and Communications Technology and Policy, 2021, 47(6):1-11.)
[18] 符芳诚, 侯忱, 程勇, 等. 隐私计算关键技术与创新[J]. 信息通信技术与政策, 2021, 47(6):27-37.
[18] ( 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
[21] 百度安全. MesaTEE 安全计算平台[EB/OL]. [2021-11-20].https://anquan.baidu.com/product/mesatee .
[21] ( Baidu Secure Team. MesaTEE Secure Computing Platform[EB/OL]. [2021-11-20].https://anquan.baidu.com/product/mesatee .)
[22] 华控清交. PrivPy多方安全计算平台[EB/OL]. [2021-11-20].https://www.tsingj.com/service .
[22] (HUA KONG TSING JIAO. PrivPy Multi-party Privacy Computing Platform[EB/OL].[2021-11-20]. https://www.tsingj.com/service .)
[23] 京东云. 联邦模盒[EB/OL]. [2021-11-20].https://www.jdcloud.com/cn/products/union-learn .
[23] (JDCloud. JDCloud Federated Model Box[EB/OL].[2021-11-20]. https://www.jdcloud.com/cn/products/union-learn .)
[24] 微众银行. FATE: 通用的联邦学习框架平台[EB/OL]. [2021-11-25].https://github.com/FederatedAI/FATE .
[24] (Webank's AI Department. FATE: Federated AI Technology Enabler[EB/OL]. [2021-11-25].https://github.com/FederatedAI/FATE .)
[25] 蓝象智联. GAIA金融级隐私计算平台[EB/OL]. [2021-11-25].https://www.trustbe.cn/cpjs .
[25] (Trustbe. GAIA Financial Privacy Preserving Level Computing Platform[EB/OL].[2021-11-25].https://www.trustbe.cn/cpjs .)
[26] 数牍科技. 安全高性能的隐私计算平台[EB/OL]. [2021-11-25].https://www.sudoprivacy.com/ .
[26] (Sudo. Safe and High Performance Privacy Preserving Computing Platform[EB/OL].[2021-11-25].https://www.sudoprivacy.com/ .)
[27] 富数科技. FMPC安全计算产品[EB/OL]. [2021-11-25].https://www.fudata.cn/products .
[27] (Fudata. FMPC Secure Computation Platform[EB/OL].[2021-11-25].https://www.fudata.cn/products .)
[28] 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.
[31] 徐潜, 章庆, 喻博, 等. 基于中间件与区块链的异构隐私计算平台互通系统研究[J]. 信息通信技术与政策, 2021, 47(6):38-49.
[31] ( 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.)
[32] 徐葳, 王云河, 靳晨, 等. 基于隐私计算的数据流通平台互联互通思考[J]. 金融电子化, 2021(9):72-73.
[32] ( 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.)
[33] 马静. 大数据匿名化隐私保护技术综述[J]. 无线互联科技, 2019, 16(2):137-143,146.
[33] ( Ma Jing. Survey of Big Data Anonymization Privacy Protection Technology[J]. Wireless Internet Technology, 2019, 16(2):137-143, 146.)
[34] 张贝贝. xID: 保护数据流通的隐形卫士[J]. 软件和集成电路, 2019(2/3):50-53.
[34] ( Zhang Beibei. xID: Invisible Guards to Protect Data Flow[J]. Software and Integrated Circuit, 2019(2/3):50-53.)
[35] 谢家贵, 齐超, 朱佳佳. 工业互联网标识解析体系架构及部署进展[J]. 信息通信技术与政策, 2020(10):10-17.
[35] ( 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.
[39] 沈志宏, 赵子豪, 王海波. 以图为中心的新型大数据技术栈研究[J]. 数据分析与知识发现, 2020, 4(7):50-65.
[39] ( 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.)
[40] 项连城, 桑基韬, 徐常胜. 跨社交媒体网络大数据下的用户建模[J]. 大数据, 2016, 2(5):32-42.
[40] ( Xiang Liancheng, Sang Jitao, Xu Changsheng. Cross-OSN User Modeling in Big Data[J]. Big Data Research, 2016, 2(5):32-42.)
[41] 池程, 柴森春, 谢滨. 工业互联网标识数据管理及应用技术研究[J]. 信息通信技术与政策, 2019, 45(8):47-51.
[41] ( 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.
[43] 康博涵, 章宁, 朱建明. 基于区块链的智能服务交易跨链服务框架与通信机制[J]. 网络与信息安全学报, 2021, 7(3):105-114.
[43] ( 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.)
[44] 闵新平, 李庆忠, 孔兰菊, 等. 许可链多中心动态共识机制[J]. 计算机学报, 2018, 41(5):1005-1020.
[44] ( 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.)
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