{"title":"Who Owns the Future? Data Trusts, Data Commons, and the Future of Data Ownership","authors":"Stuart Mills","doi":"10.2139/ssrn.3437936","DOIUrl":null,"url":null,"abstract":"Who owns your data? And why do they? In this article, I consider various stakeholder claims to data ownership and the value generated by data, through a political economy lens. Following a data value framework established by the Open Data Institute, I first consider how data generates value from the point of its creation, how data as a resource imbues various stewardship obligations onto data controllers, and finally how – given competing interests – decision-making authority is apportioned across stakeholders. \n \nThis framework is then applied to three emerging models of data ownership: Laissez Faire, Data Trusts and Data Commons. The structural qualities of each model are revealed by an in-depth critique, before a visualisation of the data flows between stakeholders is offered. \n \nFinally, I compare these models across categoric issues that emerge from this analysis, considering how each model tackles issues such as incentives, competition, innovation and feasibility.","PeriodicalId":361748,"journal":{"name":"Communication & Technology eJournal","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communication & Technology eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3437936","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Who owns your data? And why do they? In this article, I consider various stakeholder claims to data ownership and the value generated by data, through a political economy lens. Following a data value framework established by the Open Data Institute, I first consider how data generates value from the point of its creation, how data as a resource imbues various stewardship obligations onto data controllers, and finally how – given competing interests – decision-making authority is apportioned across stakeholders.
This framework is then applied to three emerging models of data ownership: Laissez Faire, Data Trusts and Data Commons. The structural qualities of each model are revealed by an in-depth critique, before a visualisation of the data flows between stakeholders is offered.
Finally, I compare these models across categoric issues that emerge from this analysis, considering how each model tackles issues such as incentives, competition, innovation and feasibility.