Privacy Goals for the Data Lifecycle
Authors: Henriksen-Bulmer, J., Yucel, C., Faily, S. and Chalkias, I.
Journal: Future Internet
Volume: 14
Issue: 11
eISSN: 1999-5903
DOI: 10.3390/fi14110315
Abstract:The introduction of Data Protection by Default and Design (DPbDD) brought in as part of the General Data Protection Regulation (GDPR) in 2018, has necessitated that businesses review how best to incorporate privacy into their processes in a transparent manner, so as to build trust and improve decisions around privacy best practice. To address this issue, this paper presents a 7-stage data lifecycle, supported by nine privacy goals that together, will help practitioners manage data holdings throughout data lifecycle. The resulting data lifecycle (7-DL) was created as part of the Ideal-Cities project, a Horizon-2020 Smart-city initiative, that seeks to facilitate data re-use and/or repurposed. We evaluate 7-DL through peer review and an exemplar worked example that applies the data lifecycle to a real-time life logging fire incident scenario, one of the Ideal-Cities use cases to demonstrate the applicability of the framework.
https://eprints.bournemouth.ac.uk/37732/
Source: Scopus
Privacy Goals for the Data Lifecycle
Authors: Henriksen-Bulmer, J., Yucel, C., Faily, S. and Chalkias, I.
Journal: FUTURE INTERNET
Volume: 14
Issue: 11
eISSN: 1999-5903
DOI: 10.3390/fi14110315
https://eprints.bournemouth.ac.uk/37732/
Source: Web of Science (Lite)
Privacy Goals for the Data Lifecycle
Authors: Henriksen-Bulmer, J., Yucel, C., Faily, S. and Chalkias, I.
Editors: Kalloniatis, C.
Journal: Future Internet
Volume: 14
Issue: 11
Publisher: MDPI AG
ISSN: 1999-5903
DOI: 10.3390/fi14110315
Abstract:The introduction of Data Protection by Default and Design (DPbDD) brought in as part of the General Data Protection Regulation (GDPR) in 2018, has necessitated that businesses review how best to incorporate privacy into their processes in a transparent manner, so as to build trust and improve decisions around privacy best practice. To address this issue, this paper presents a 7-stage data lifecycle, supported by nine privacy goals that together, will help practitioners manage data holdings throughout data lifecycle. The resulting data lifecycle (7-DL) was created as part of the Ideal-Cities project, a Horizon-2020 Smart-city initiative, that seeks to facilitate data re-use and/or repurposed. We evaluate 7-DL through peer review and an exemplar worked example that applies the data lifecycle to a real-time life logging fire incident scenario, one of the Ideal-Cities use cases to demonstrate the applicability of the framework.
https://eprints.bournemouth.ac.uk/37732/
https://www.mdpi.com/1999-5903/14/11/315
Source: Manual
Privacy Goals for the Data Lifecycle
Authors: Henriksen-Bulmer, J., Yucel, C., Faily, S. and Chalkias, I.
Editors: Kalloniatis, C.
Journal: Future Internet
Volume: 14
Issue: 11
Pages: 1-25
Publisher: MDPI AG
ISSN: 1999-5903
Abstract:The introduction of Data Protection by Default and Design (DPbDD) brought in as part of the General Data Protection Regulation (GDPR) in 2018, has necessitated that businesses review how best to incorporate privacy into their processes in a transparent manner, so as to build trust and improve decisions around privacy best practice. To address this issue, this paper presents a 7-stage data lifecycle, supported by nine privacy goals that together, will help practitioners manage data holdings throughout data lifecycle. The resulting data lifecycle (7-DL) was created as part of the Ideal-Cities project, a Horizon-2020 Smart-city initiative, that seeks to facilitate data re-use and/or repurposed. We evaluate 7-DL through peer review and an exemplar worked example that applies the data lifecycle to a real-time life logging fire incident scenario, one of the Ideal-Cities use cases to demonstrate the applicability of the framework.
https://eprints.bournemouth.ac.uk/37732/
https://www.mdpi.com/1999-5903/14/11/315
Source: BURO EPrints