Transparency by Default: GDPR Patterns for Agile Development

Baraa Zieni; Dayana Spagnuelo; Reiko Heckel

doi:10.1007/978-3-030-86611-2_7

Transparency by Default: GDPR Patterns for Agile Development

Baraa Zieni^*, Dayana Spagnuelo, Reiko Heckel

^*Corresponding author for this work

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Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Users have the right to know how their software works, what data it collects about them and how this data is used. This is a legal requirement under General Data Protection Regulation (GDPR) and fosters users’ trust in the system. Transparency, when used correctly, is a tool to achieve this. The adoption of agile approaches, focused on coding and rapidly evolving functionality in situations where requirements are unclear or fast changing, poses new problems for the systematic elicitation and implementation of transparency requirements which are driven by, but lag behind, the functionality. We propose requirements patterns addressing GDPR’s principle of transparency by default, i.e., through a systematic and structured approach based on the artefacts of agile development. We present a case study using a SCRUM process to demonstrate the effectiveness and usability of the patterns.

Original language	English
Title of host publication	Electronic Government and the Information Systems Perspective
Subtitle of host publication	10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings
Editors	Andrea Kö, Enrico Francesconi, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	89-102
Number of pages	14
ISBN (Electronic)	9783030866112
ISBN (Print)	9783030866105
DOIs	https://doi.org/10.1007/978-3-030-86611-2_7
Publication status	Published - 2021
Event	10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021 - Virtual, Online Duration: 27 Sept 2021 → 30 Sept 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12926 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021
City	Virtual, Online
Period	27/09/21 → 30/09/21

Bibliographical note

Funding Information:
Acknowledgement. The research is supported by University of Leicester. We also would like to thank Dr Mahmood Hosseini for the valuable input and Spirit Healthcare team for their collaboration, experience.

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Funding

Acknowledgement. The research is supported by University of Leicester. We also would like to thank Dr Mahmood Hosseini for the valuable input and Spirit Healthcare team for their collaboration, experience.

Keywords

Agile development
GDPR
Requirements patterns
Transparency
Trust

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-86611-2_7

Persistent URL (handle)

Persistent link

Cite this

Zieni, B., Spagnuelo, D., & Heckel, R. (2021). Transparency by Default: GDPR Patterns for Agile Development. In A. Kö, E. Francesconi, G. Kotsis, A. M. Tjoa, & I. Khalil (Eds.), Electronic Government and the Information Systems Perspective: 10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings (pp. 89-102). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12926 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86611-2_7

Zieni, Baraa ; Spagnuelo, Dayana ; Heckel, Reiko. / Transparency by Default : GDPR Patterns for Agile Development. Electronic Government and the Information Systems Perspective: 10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings. editor / Andrea Kö ; Enrico Francesconi ; Gabriele Kotsis ; A Min Tjoa ; Ismail Khalil. Springer Science and Business Media Deutschland GmbH, 2021. pp. 89-102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Zieni, B, Spagnuelo, D & Heckel, R 2021, Transparency by Default: GDPR Patterns for Agile Development. in A Kö, E Francesconi, G Kotsis, AM Tjoa & I Khalil (eds), Electronic Government and the Information Systems Perspective: 10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12926 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 89-102, 10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021, Virtual, Online, 27/09/21. https://doi.org/10.1007/978-3-030-86611-2_7

Transparency by Default: GDPR Patterns for Agile Development. / Zieni, Baraa; Spagnuelo, Dayana; Heckel, Reiko.
Electronic Government and the Information Systems Perspective: 10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings. ed. / Andrea Kö; Enrico Francesconi; Gabriele Kotsis; A Min Tjoa; Ismail Khalil. Springer Science and Business Media Deutschland GmbH, 2021. p. 89-102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12926 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Funding Information: Acknowledgement. The research is supported by University of Leicester. We also would like to thank Dr Mahmood Hosseini for the valuable input and Spirit Healthcare team for their collaboration, experience. Publisher Copyright: © 2021, Springer Nature Switzerland AG.

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Zieni B, Spagnuelo D, Heckel R. Transparency by Default: GDPR Patterns for Agile Development. In Kö A, Francesconi E, Kotsis G, Tjoa AM, Khalil I, editors, Electronic Government and the Information Systems Perspective: 10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 89-102. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 Sept 3. doi: 10.1007/978-3-030-86611-2_7

Transparency by Default: GDPR Patterns for Agile Development

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

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