{"title":"大数据时代的数据所有权分析","authors":"Wei Xiao, Yaqing Tu, Ping Wan, Ming Li, J. Ma","doi":"10.1145/3440084.3441210","DOIUrl":null,"url":null,"abstract":"For working out the problem of ownership rights of data in the Big Data era, this paper proposes an establishment method of data ownership rights based on data classification. By summarizing characteristics of big data and analyzing current main views of the data ownership rights, this proposed method is following the principles of protecting data confidentiality and acknowledging the greatest contributors. First, according to the different involvement degree of participants in data generation processes, the data is divided into two categories: participatory data and non-participatory data. The participatory data is subdivided into equal participatory data and non-equal participatory data based on different contributions of participants. Since the non-participatory data generally involves the private and confidential information of the recorded parties, it is proposed that the ownership rights of this kind of data should belong to the recorded parties. Following the principle of acknowledging the greatest contributors, this paper proposes that the ownership rights of the equal participatory data belongs to all participants and that of non-equal participatory data belongs to the active participants.","PeriodicalId":250100,"journal":{"name":"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Data Ownership Rights in the Big Data Era\",\"authors\":\"Wei Xiao, Yaqing Tu, Ping Wan, Ming Li, J. Ma\",\"doi\":\"10.1145/3440084.3441210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For working out the problem of ownership rights of data in the Big Data era, this paper proposes an establishment method of data ownership rights based on data classification. By summarizing characteristics of big data and analyzing current main views of the data ownership rights, this proposed method is following the principles of protecting data confidentiality and acknowledging the greatest contributors. First, according to the different involvement degree of participants in data generation processes, the data is divided into two categories: participatory data and non-participatory data. The participatory data is subdivided into equal participatory data and non-equal participatory data based on different contributions of participants. Since the non-participatory data generally involves the private and confidential information of the recorded parties, it is proposed that the ownership rights of this kind of data should belong to the recorded parties. Following the principle of acknowledging the greatest contributors, this paper proposes that the ownership rights of the equal participatory data belongs to all participants and that of non-equal participatory data belongs to the active participants.\",\"PeriodicalId\":250100,\"journal\":{\"name\":\"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3440084.3441210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3440084.3441210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Data Ownership Rights in the Big Data Era
For working out the problem of ownership rights of data in the Big Data era, this paper proposes an establishment method of data ownership rights based on data classification. By summarizing characteristics of big data and analyzing current main views of the data ownership rights, this proposed method is following the principles of protecting data confidentiality and acknowledging the greatest contributors. First, according to the different involvement degree of participants in data generation processes, the data is divided into two categories: participatory data and non-participatory data. The participatory data is subdivided into equal participatory data and non-equal participatory data based on different contributions of participants. Since the non-participatory data generally involves the private and confidential information of the recorded parties, it is proposed that the ownership rights of this kind of data should belong to the recorded parties. Following the principle of acknowledging the greatest contributors, this paper proposes that the ownership rights of the equal participatory data belongs to all participants and that of non-equal participatory data belongs to the active participants.