Please wait a minute...
Advanced Search
数据分析与知识发现  2022, Vol. 6 Issue (1): 2-12     https://doi.org/10.11925/infotech.2096-3467.2021.1411
     专题 本期目录 | 过刊浏览 | 高级检索 |
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
窦悦1,2,易成岐2,黄倩倩2,3,莫心瑶4,王建冬2(),于施洋2
1北京大学信息管理系 北京 100871
2国家信息中心大数据发展部 北京 100045
3中国人民大学信息资源管理学院 北京 100872
4深圳市数聚湾区大数据研究院研究咨询部 深圳 518048
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
全文: PDF (1284 KB)   HTML ( 53
输出: BibTeX | EndNote (RIS)      
摘要 

【目的】 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,围绕人、企、车、物、地等基础对象建立数据资源标识统一编码解析体系,引导各方加强数据要素流通全流程中的分类分级标识标定管理,支持提供数据登记备案、供需撮合、信用评估、合规公证、资产评估等共性公共服务,促进全国范围内跨地区、跨行业的数据要素流通交易平台互联互通和融合发展,为参与数据交易各类市场主体提供安全可信流通环境和共性公共服务。【方法】 梳理近几年国内外数据流通交易相关技术研究及应用现状,结合当前国内数据要素市场建设面临的共性问题,提出国家“数联网”根服务体系总体架构。【结果】 明确以数据标识融合、跨区块链及跨隐私计算平台基础支撑体系为依托,以数据流通交易公共服务体系为载体的国家“数联网”根服务体系总体建设思路。【局限】 需进一步研究论证目前提出技术路径的完备性、可扩展性。【结论】 提出的国家“数联网”根服务体系对打造国家数据要素流通共性基础设施,面向社会提供安全可信的共性公共服务和培育数据要素市场与产业生态具有重要作用。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
窦悦
易成岐
黄倩倩
莫心瑶
王建冬
于施洋
关键词 数据要素数联网流通交易根服务体系公共服务    
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
收稿日期: 2021-12-15      出版日期: 2022-02-22
ZTFLH:  TP391  
基金资助:*本文系国家社会科学基金青年项目的研究成果之一(18CSH018)
通讯作者: 王建冬,ORCID:0000-0001-6819-6765     E-mail: wangjd@sic.gov.cn
引用本文:   
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.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2021.1411      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2022/V6/I1/2
Fig.1  国家“数联网”根服务体系总体架构设计
Fig.2  数据标识融合基础支撑体系架构设计
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
Table 1  国家“数联网”根服务体系标识规则体系层次设计
Fig.3  跨区块链基础支撑体系架构设计
Fig.4  跨隐私计算基础支撑体系架构设计
[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.)
[1] 曾坚朋,赵正,杜自然,洪博然. 数据流通场景下的统一隐私计算框架研究——基于深圳数据交易所的实践[J]. 数据分析与知识发现, 2022, 6(1): 35-42.
[2] 王晓庆,孙战伟,吴军红,杜自然,钱城江. 基于数据要素流通视角的数据溯源研究进展*[J]. 数据分析与知识发现, 2022, 6(1): 43-54.
[3] 吉久明,李楠 . 建立基于知识集成的资源和服务整合与协同机制*——上海研发公共服务平台整改设计[J]. 现代图书情报技术, 2006, 1(9): 58-62.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn