The Boundaries of Data
The legal domain distinguishes between different types of data and attaches a different level of protection to each of them. Thus, non-personal data are left largely unregulated, while privacy and data protection rules apply to personal data or personal information. There are stricter rules for proc...
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| Formato: | Libro |
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Routledge
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4328065&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4328065 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: The Boundaries of Data aug: au: Bart Sloot Sascha Schendel isbn: 9781041187356 9789463729192 9781003705420 9781040776971 9781040789964 imageinfo: pubinfo: dt: @attributes: year: 2025 month: 01 day: 01 pub: Routledge pubContract: Taylor & Francis (Unlimited) place: Oxford price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 artinfo: ui: 4328065 1411820455 formats: fmt: – @attributes: type: EB doid: NL$4328065$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$4328065$EPUB caption: EPUB download: Y tig: atl: The Boundaries of Data ptl: The Boundaries of Data aug: au: Bart Sloot Sascha Schendel sug: subj: LAW / Science & Technology LAW / Privacy SOCIAL SCIENCE / Privacy & Surveillance ab: The legal domain distinguishes between different types of data and attaches a different level of protection to each of them. Thus, non-personal data are left largely unregulated, while privacy and data protection rules apply to personal data or personal information. There are stricter rules for processing sensitive personal data than for ‘ordinary'personal data, and metadata or communications data are regulated differently than content communications data. Technological developments challenge these legal categorisations on at least three fronts: First, the lines between the categories are becoming harder to draw and more fluid. Second, working with various categories of data works well when the category a datum or dataset falls into is relatively stable. However, this is less and less so. Third, scholars increasingly question the rationale behind the various legal categorisations. This book assesses to what extent either of these strategies is feasible and to what extent alternative approaches could be developed by combining insights from three fields: technology, practice and law. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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