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Privacy Goals for the Data Lifecycle.

Henriksen-Bulmer, J., Yucel, C., Faily, S. and Chalkias, I., 2022. Privacy Goals for the Data Lifecycle. Future Internet, 14 (11), 1-25.

Full text available as:

futureinternet-14-00315_published31-10-2022.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.


Official URL:

DOI: 10.3390/fi14110315


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.

Item Type:Article
Additional Information:Funded by Ideal Cities.
Uncontrolled Keywords:Privacy goals;Privacy;Data governance;Privacy by design;Cyber;Data lifecycle;GDPR;Decision making;Smart city;Circular economy
Group:Faculty of Science & Technology
ID Code:37732
Deposited By: Symplectic RT2
Deposited On:01 Nov 2022 10:39
Last Modified:01 Nov 2022 10:39


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