Majid Hojati, Rob Feick, Steven Roberts, Carson Farmer, Colin Robertson
{"title":"Distributed spatial data sharing: a new model for data ownership and access control","authors":"Majid Hojati, Rob Feick, Steven Roberts, Carson Farmer, Colin Robertson","doi":"10.5311/josis.2023.27.220","DOIUrl":null,"url":null,"abstract":"With the advent of new technologies and broader participation in geospatial data production, new challenges emerge for spatial data sharing. Spatial data sharing practices are increasingly transacted through and, to varying degrees, controlled by a handful of privately controlled corporate services. Data production has evolved from being largely centralized, expert-oriented, and authoritative in nature to now also include hybrid data collection processes involving distributed assemblages of individuals who share and co-produce spatial data while interacting through centralized architectures and control regimes. These changes have resulted mainly from technological and social changes linked to the emergence of Web 2.0 and widely available Internet participation tools. Concerns about how spatial data access and sharing are controlled, particularly for sensitive or personally-identifying data, have increased interest in distributed file technologies that allow users to share resources independently of centralized platforms. This paper examines how spatial data sharing practices may move towards a more decentralized sharing ecosystem as technologies for a further distributed web mature. We identify this transition as increasingly hybridized forms of data ownership and access control concerns are coupled with new distributed systems (e.g., Web 3.0). We also discuss opportunities and barriers to distributed spatial data sharing, including possible benefits for big geographic data management and the need for protocols to share, integrate, and process spatial data shared on distributed networks.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":"38 3","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Spatial Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5311/josis.2023.27.220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
With the advent of new technologies and broader participation in geospatial data production, new challenges emerge for spatial data sharing. Spatial data sharing practices are increasingly transacted through and, to varying degrees, controlled by a handful of privately controlled corporate services. Data production has evolved from being largely centralized, expert-oriented, and authoritative in nature to now also include hybrid data collection processes involving distributed assemblages of individuals who share and co-produce spatial data while interacting through centralized architectures and control regimes. These changes have resulted mainly from technological and social changes linked to the emergence of Web 2.0 and widely available Internet participation tools. Concerns about how spatial data access and sharing are controlled, particularly for sensitive or personally-identifying data, have increased interest in distributed file technologies that allow users to share resources independently of centralized platforms. This paper examines how spatial data sharing practices may move towards a more decentralized sharing ecosystem as technologies for a further distributed web mature. We identify this transition as increasingly hybridized forms of data ownership and access control concerns are coupled with new distributed systems (e.g., Web 3.0). We also discuss opportunities and barriers to distributed spatial data sharing, including possible benefits for big geographic data management and the need for protocols to share, integrate, and process spatial data shared on distributed networks.
随着新技术的出现和地理空间数据生产的广泛参与,空间数据共享面临着新的挑战。空间数据共享实践越来越多地通过少数私人控制的企业服务进行交易,并在不同程度上受其控制。数据生产已从主要是集中式、专家导向型和权威性的,发展到现在还包括混合数据收集过程,涉及个人的分布式集合,他们在通过集中式架构和控制制度进行互动的同时,共享和共同生产空间数据。这些变化主要源于与 Web 2.0 和广泛使用的互联网参与工具的出现相关的技术和社会变革。由于人们对空间数据访问和共享的控制方式,尤其是敏感数据或个人身份数据的控制方式感到担忧,因此人们对允许用户独立于集中式平台共享资源的分布式文件技术越来越感兴趣。本文探讨了随着分布式网络技术的进一步成熟,空间数据共享实践如何向更加分散的共享生态系统转变。我们认为,随着数据所有权和访问控制问题的日益混合形式与新的分布式系统(如 Web 3.0)相结合,这种转变也会发生。我们还讨论了分布式空间数据共享的机遇和障碍,包括对大型地理数据管理可能带来的好处,以及需要制定协议来共享、整合和处理分布式网络上共享的空间数据。