计算机科学 ›› 2021, Vol. 48 ›› Issue (1): 119-124.doi: 10.11896/jsjkx.191100217

• 数据库&大数据&数据科学 • 上一篇    下一篇

数据产品流通的两阶段授权模式

叶雅珍1,2,3, 刘国华1, 朱扬勇2,3   

  1. 1 东华大学计算机科学与技术学院 上海 201620
    2 复旦大学计算机科学技术学院 上海 201203
    3 上海市数据科学重点实验室 上海 201203
  • 收稿日期:2019-11-29 修回日期:2020-05-20 出版日期:2021-01-15 发布日期:2021-01-15
  • 通讯作者: 朱扬勇(yyzhu@fudan.edu.cn)
  • 作者简介:yeyazhen@fudan.edu.cn
  • 基金资助:
    国家自然科学基金项目(U1636207);上海市科技发展基金(19511121204)

Two-step Authorization Pattern of Data Product Circulation

YE Ya-zhen1,2,3, LIU Guo-hua1, ZHU Yang-yong2,3   

  1. 1 School of Computer Science and Technology,Donghua University,Shanghai 201620,China
    2 School of Computer Science,Fudan University,Shanghai 201203,China
    3 Shanghai Key Lab of Data Science,Shanghai 201203,China
  • Received:2019-11-29 Revised:2020-05-20 Online:2021-01-15 Published:2021-01-15
  • About author:YE Ya-zhen,born in 1985,assistant researcher,Ph.D candidates,is a member of China Computer Federation.Her main research interests include datascien-ce,big data,data asset,etc.
    ZHU Yang-yong,born in 1963,Ph.D,professor,Ph.D supervisor,is a senior member of China Computer Federation.His main research interests include data science,big data,etc.
  • Supported by:
    National Natural Science Foundation of China(U1636207) and Shanghai Science and Technology Development Fund(19511121204).

摘要: 数据产品是电子化的非实物产品,可以几乎无成本地无限复制和传播,这给数据产品运营体系的设计带来了挑战。当前,数据产品主要通过一个运营平台到达终端消费者,其授权机制及相应的定价规则等关键难题仍未得到有效解决。基于数据产品的可共享性和易复制性,提出数据产品流通的本质是一种授权,使得数据产品的定价是一种授权定价,进而提出了数据产品授权原则和定价机制等,给出了数据产品的一种“两阶段授权模式”,并设计了相应的数据产品运营平台体系结构。

关键词: 大数据, 两阶段授权, 数据产品, 数字经济

Abstract: A data product is an electronified non-material product that can be replicated and transferred with almost zero cost,this feature poses a challenge to the design of the production system of data product.At present,data products reach consumers mainly through supporting platforms.At the same time,critical issues such as the final shape,authorization mechanism and corres-ponding pricing methods of data products have not been effectively addressed.In this paper,based on the shareability and easy to copy of data product,it is concluded that the nature of data product circulation is a series of authorization process.Therefore,data product pricing is a form of authorization pricing.This article proposes principles of data product authorization and its pricing mechanism,a two-step authorization pattern of data product circulation,as well as corresponding structure of data product operation platform.

Key words: Big data, Data product, Digital economy, Two-step authorization

中图分类号: 

  • TP311
[1] 中华人民共和国国家版权局.2019年中国版权十件大事[DB/OL].[2020-03-02].http://www.ncac.gov.cn/chinacopyright/contents/518/412947.html.
[2] PEITZ M,WAELBROECK P.An economist's guide to digital music[J].CESifo Economic Studies,2005,51(2/3):359-428.
[3] AGUIAR L,MARTENS B.Digital music consumption on the internet:evidence from clickstream data[J].Information Economics and Policy,2016,34:27-43.
[4] KRIKKE J.Streaming video transforms the media industry[J].IEEE Computer Graphics and Applications,2004,24(4):6-12.
[5] TAN Y,CARRILLO J E.Strategic analysis of the agency model for digital goods[J].Production and Operations Management,2017,26(4):724-741.
[6] BELK R W.Extended self in a digital world[J].Journal of Con-sumer Research,2013,40(3):477-500.
[7] VACCARO V L,COHN D Y.The evolution of business models and marketing strategies in the music industry[J].International Journal on Media Management,2004,6(1/2):46-58.
[8] BOCKSTEDT J,KAUFFMAN R J,RIGGINS F J.The move to artist-led online music distribution:Explaining structural changes in the digital music market[C]//Proceedings of the 38th Annual Hawaii International Conference on System Sciences.IEEE,2005.
[9] MORRIS J W,POWERS D.Control,curation and musical experience in streaming music services[J].Creative Industries Journal,2015,8(2):106-122.
[10] DOERR J,BENLIAN A,VETTER J,et al.Pricing of contentservices-an empirical investigation of music as a service[C]//SIGeBIZ track of the Americas Conference on Information Systems.Berlin:Springer,2010:13-24.
[11] BALAZINSKA M,HOWE B,KOUTRIS P,et al.A discussion on pricing relational data[M]//Search of Elegance in the Theory and Practice of Computation.Berlin:Springer,2013:167-173.
[12] 中国信息通信研究院.中国数字经济发展与就业白皮书(2018年)[R].北京:中国信息通信研究院,2018.
[13] CHOI S Y,STAHL D O,WHINSTON A B.The economics of electronic commerce[M].Indianapolis:Macmillan Technical Publ.,1997:60-64.
[14] WALDFOGEL J.Music file sharing and sales displacement inthe iTunes era[J].Information Economics and Policy,2010,22(4):306-314.
[15] GAROFALO R.From music publishing to MP3:Music and industry in the twentieth century[J].American Music,1999,17(3):318-354.
[16] Spotify Technology S.A.ABOUT SPOTIFY[DB/OL].[2019-09-09].https://newsroom.spotify.com/company-info/.
[17] SINCLAIR G,TINSON J.Psychological ownership and music streaming consumption[J].Journal of Business Research,2017,71:1-9.
[18] WAGNER T M,BENLIAN A,HESS T.Converting freemium customers from free to premium-the role of the perceived premium fit in the case of music as a service[J].Electronic Markets,2014,24(4):259-268.
[19] Netflix.Netflix [DB/OL].[2019-09-09].https://www.netflix.com/.
[20] Wayne M L.Netflix,Amazon,and branded television content in subscription video on-demand portals[J].Media,Culture & Society,2018,40(5):725-741.
[21] Getty Images,Inc.Getty Images [DB/OL].[2019-09-09].http://press.gettyimages.com/about-us/getty-images/.
[22] Kindle Store[DB/OL].[2019-09-09].https://www.amazon.com/Kindle-Store/b?ie=UTF8&node=133140011&nocache=1567751607714.
[23] Wattpad Corp.wattpadabout [DB/OL].[2019-09-09].http://company.wattpad.com/.
[24] SHAPIRO C,VARIAN H R.Information rules:a strategicguide to the network economy[M].Boston:Harvard Business School Press,1999:20-23.
[25] SERINGHAUS M.E-book transactions:Amazon “Kindles” the copy ownership debate[J].Yale Journal of Law and Technology,2010,12(1):147-207.
[26] BALAZINSKA M,HOWE B,SUCIU D.Data Markets in theCloud:An Opportunity for the Database Community[J].Proceedings of the VLDB Endowment,2011,4(12):1482-1485.
[27] YU H,ZHANG M.Data pricing strategy based on data quality[J].Computers & Industrial Engineering,2017,112:1-10.
[28] DOLATA U.The music industry and the internet:a decade of disruptive and uncontrolled sectoral change[R].Stuttgarter Beiträge zur Organisations-und Innovationsforschung,SOI Discussion Paper,2011.
[29] ARDITI D.iTunes:Breaking barriers and building walls[J].Popular Music and Society,2014,37(4):408-424.
[30] 朱扬勇.大数据资源[M].上海:上海科学技术出版社,2018:9-10.
[31] 朱扬勇.旖旎数据[M].上海:上海科学技术出版社,2018:126-129.
[32] Amazon Inc.or its affiliates.amazon publishing[DB/OL].[2019-09-12].https://amazonpublishing.amazon.com/.
[33] Amazon Inc.or its affiliates.Kindle电子书供应商合作须知[DB/OL].[2019-09-12].https://www.amazon.cn/gp/help/customer/display.html?nodeId=201252790.
[34] Google LLC.Books Help.Publisher Program Policies for Google Play Books [DB/OL].https://support.google.com/books/partner/answer/166501?hl=zh-Hans.
[35] Wattpad Corp.CopyrightFAQ [DB/OL].[2019-09-12].https://support.wattpad.com/hc/en-us/articles/216192503-Copyright-FAQ.
[1] 陈晶, 吴玲玲.
多源异构环境下的车联网大数据混合属性特征检测方法
Mixed Attribute Feature Detection Method of Internet of Vehicles Big Datain Multi-source Heterogeneous Environment
计算机科学, 2022, 49(8): 108-112. https://doi.org/10.11896/jsjkx.220300273
[2] 何强, 尹震宇, 黄敏, 王兴伟, 王源田, 崔硕, 赵勇.
基于大数据的进化网络影响力分析研究综述
Survey of Influence Analysis of Evolutionary Network Based on Big Data
计算机科学, 2022, 49(8): 1-11. https://doi.org/10.11896/jsjkx.210700240
[3] 王美珊, 姚兰, 高福祥, 徐军灿.
面向医疗集值数据的差分隐私保护技术研究
Study on Differential Privacy Protection for Medical Set-Valued Data
计算机科学, 2022, 49(4): 362-368. https://doi.org/10.11896/jsjkx.210300032
[4] 孙轩, 王焕骁.
政务大数据安全防护能力建设:基于技术和管理视角的探讨
Capability Building for Government Big Data Safety Protection:Discussions from Technologicaland Management Perspectives
计算机科学, 2022, 49(4): 67-73. https://doi.org/10.11896/jsjkx.211000010
[5] 王俊, 王修来, 庞威, 赵鸿飞.
面向科技前瞻预测的大数据治理研究
Research on Big Data Governance for Science and Technology Forecast
计算机科学, 2021, 48(9): 36-42. https://doi.org/10.11896/jsjkx.210500207
[6] 余乐章, 夏天宇, 荆一楠, 何震瀛, 王晓阳.
面向大数据分析的智能交互向导系统
Smart Interactive Guide System for Big Data Analytics
计算机科学, 2021, 48(9): 110-117. https://doi.org/10.11896/jsjkx.200900083
[7] 王立梅, 朱旭光, 汪德嘉, 张勇, 邢春晓.
基于深度学习的民事案件判决结果分类方法研究
Study on Judicial Data Classification Method Based on Natural Language Processing Technologies
计算机科学, 2021, 48(8): 80-85. https://doi.org/10.11896/jsjkx.210300130
[8] 王雪岑, 张昱, 刘迎婕, 于戈.
基于表示学习的在线学习交互质量评价方法
Evaluation of Quality of Interaction in Online Learning Based on Representation Learning
计算机科学, 2021, 48(2): 207-211. https://doi.org/10.11896/jsjkx.201000042
[9] 滕建, 滕飞, 李天瑞.
基于3D卷积和LSTM编码解码的出行需求预测
Travel Demand Forecasting Based on 3D Convolution and LSTM Encoder-Decoder
计算机科学, 2021, 48(12): 195-203. https://doi.org/10.11896/jsjkx.210400022
[10] 张育龙, 王强, 陈明康, 孙静涛.
图像去雨算法在云物联网应用中的研究综述
Survey of Intelligent Rain Removal Algorithms for Cloud-IoT Systems
计算机科学, 2021, 48(12): 231-242. https://doi.org/10.11896/jsjkx.201000055
[11] 曹萌, 于洋, 梁英, 史红周.
基于区块链的大数据交易关键技术与发展趋势
Key Technologies and Development Trends of Big Data Trade Based on Blockchain
计算机科学, 2021, 48(11A): 184-190. https://doi.org/10.11896/jsjkx.210100163
[12] 刘亚臣, 黄雪莹.
卫星监测时空大数据蠕变特征提取及预警算法
Research on Creep Feature Extraction and Early Warning Algorithm Based on Satellite MonitoringSpatial-Temporal Big Data
计算机科学, 2021, 48(11A): 258-264. https://doi.org/10.11896/jsjkx.201000071
[13] 张光君, 张翔.
应用“大数据+区块链”优化立法评估制度的机理与路径
Mechanism and Path of Optimizing Institution of Legislative Evaluation by Applying “Big Data+Blockchain”
计算机科学, 2021, 48(10): 324-333. https://doi.org/10.11896/jsjkx.201200105
[14] 赵会群, 吴凯锋.
一种大数据估价算法
Big Data Valuation Algorithm
计算机科学, 2020, 47(9): 110-116. https://doi.org/10.11896/jsjkx.191000156
[15] 马梦宇, 吴烨, 陈荦, 伍江江, 李军, 景宁.
显示导向型的大规模地理矢量实时可视化技术
Display-oriented Data Visualization Technique for Large-scale Geographic Vector Data
计算机科学, 2020, 47(9): 117-122. https://doi.org/10.11896/jsjkx.190800121
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!