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数据交易法律问题研究

发布时间:2018-04-19 03:14

  本文选题:大数据 + 粒数据 ; 参考:《四川省社会科学院》2017年硕士论文


【摘要】:随着大数据技术不断创新,数据的应用领域也在不断拓宽,从最初的商业领域延伸至公共服务领域、医学领域等,大数据的价值日益为社会主体甚至国家所重视。在此背景下大数据产业,也得以迅猛发展。数据交易是作为大数据产业的一环,是衡量大数据产业发展状况的主要标准,也是实现数据价值的关键环节。目前,关于数据交易的相关规范尚无统一的立法,而是散见于各地方的政府规章,且规定得较为原则。数据交易立法的现状,导致数据交易中虽存在诸多问题,却难以有效地解决,严重制约了大数据产业的发展。本文主要通过讨论大数据产业中数据交易这一环节,发现其存在的诸多问题,再一一对应提出解决方案,寻找我国大数据产业顺利发展的途径。本文第一章是对数据交易的基本概述。本章首先对大数据的内涵进行了界定,对大数据与相近似概念粒数据和信息进行了比较,分析大数据与两者之间的同异之处和对大数据的价值进行了阐述。其次,本章论述了数据交易的基本内容,包括数据交易的概念、数据交易产生的背景、数据交易的法律关系和数据交易的方式四个方面的内容。本文第二章主要是针对中美数据交易现状进行比较分析。从数据交易类型、大数据数据源、数据交易现状和大数据立法四个方面对中美两国的数据交易现状先进行较为详细的分析,在对两者的数据交易现状进行评析。本文第三章主要论述数据交易中存在的问题,包括法律制度层面的问题和数据交易实践中存在的问题。法律制度层面的问题包括:个人数据所有权归属问题、数据交易主体责任不清、敏感数据清洗规则不健全、数据交易范围不明确和数据交易监管规范不完善五个方面。数据交易实践存在的问题包括:大数据市场机制问题、数据交易垄断问题和非法数据交易问题三个方面。本文第四章是针对数据交易中存在的问题提出解决建议。法律层面的问题的解决分为:明确数据所有权主体、明晰数据交易主体责任、完善敏感数据清洗规则、界定数据交易范围和完善数据交易监管机制。实践层面问题的解决:数据个人交易市场的开放和数据二级交易市场的建立、对数据权主体的权利进行限制和规制非法数据交易。
[Abstract]:With the constant innovation of big data's technology, the application field of data is also widening. From the initial commercial field to the public service field, medical field and so on, big data's value is paid more and more attention to by the society main body and even the country day by day.Under this background, big data industry, also can swift and violent development.Data transaction, as a link of big data industry, is the main standard to measure the industrial development of big data, and also the key link to realize the data value.At present, there is no uniform legislation about data transaction, but scattered in the local government regulations, and the provisions are more principled.The current situation of data transaction legislation, although there are many problems in data transaction, it is difficult to solve effectively, which seriously restricts the development of big data industry.This paper mainly discusses the link of data transaction in big data industry, finds out its many problems, and then puts forward a corresponding solution to find the way of the smooth development of the big data industry in our country.The first chapter of this paper is the basic overview of data transactions.In this chapter, the connotation of big data is defined, and then the data and information of big data are compared, the similarities and differences between big data and the two are analyzed, and the value of big data is expounded.Secondly, this chapter discusses the basic content of data transaction, including the concept of data transaction, the background of data transaction, the legal relationship of data transaction and the way of data transaction.The second chapter is mainly to compare and analyze the current situation of data transaction between China and the United States.From four aspects of data transaction type, big data data source, data transaction status and big data legislation, the paper makes a detailed analysis of the data transaction status of China and the United States, and comments on the data transaction status of the two countries.The third chapter mainly discusses the problems existing in the data transaction, including the problems in the legal system and the problems in the practice of data transaction.The problems of legal system include: ownership of personal data, unclear responsibility of data transaction subject, imperfect rules of sensitive data cleaning, unclear scope of data transaction and imperfect supervision and regulation of data transaction.The problems in data transaction practice include: big data market mechanism, data transaction monopoly and illegal data transaction.The fourth chapter is to put forward some suggestions to solve the problems in data transaction.The legal aspects of the problem can be divided into: defining the subject of data ownership, clarifying the responsibility of the subject of data transaction, perfecting the rules of cleaning sensitive data, defining the scope of data transaction and perfecting the supervision mechanism of data transaction.To solve the practical problems: the opening of the data personal transaction market and the establishment of the data secondary trading market, the rights of the subject of data rights are restricted and illegal data transactions are regulated.
【学位授予单位】:四川省社会科学院
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:D922.16

【参考文献】

相关博士学位论文 前2条

1 李巍;半结构化数据挖掘若干问题研究[D];吉林大学;2013年

2 骆永成;数字图书馆敏感数据匿名发布若干关键技术研究[D];东华大学;2011年



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