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GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant

This article presents a tool called GDPRValidator that aims to assist small and medium-sized enterprises (SMEs) that have migrated their services, or a part of them, to the cloud to be General Data Protection Regulation (GDPR) compliant when they manage and store employees’ or customers’ data in the...

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Autores principales: Cambronero, M. Emilia, Martínez, Miguel A., de la Vara, José Luis, Cebrián, David, Valero, Valentín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748828/
https://www.ncbi.nlm.nih.gov/pubmed/36532816
http://dx.doi.org/10.7717/peerj-cs.1171
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author Cambronero, M. Emilia
Martínez, Miguel A.
de la Vara, José Luis
Cebrián, David
Valero, Valentín
author_facet Cambronero, M. Emilia
Martínez, Miguel A.
de la Vara, José Luis
Cebrián, David
Valero, Valentín
author_sort Cambronero, M. Emilia
collection PubMed
description This article presents a tool called GDPRValidator that aims to assist small and medium-sized enterprises (SMEs) that have migrated their services, or a part of them, to the cloud to be General Data Protection Regulation (GDPR) compliant when they manage and store employees’ or customers’ data in the cloud. As these companies have a limited budget to hire legal experts to guide them in complying with GDPR, the main objective of this tool is to help SMEs to be more competitive by saving a considerable amount of money. By using GDPRValidator, these companies can learn and begin the GDPR compliance process by themselves and decide whether it will be necessary to hire GDPR legal experts in the end. GDPRValidator implements a process that aids companies in compliance analysis and validation and generates a series of documents with recommendations. These documents do not guarantee full GDPR compliance, but they can help the company better understand the regulation and improve its data management strategies. In order to validate the efficiency and efficacy of the tool, two SMEs have used it and provided feedback about its perceived ease of use and its perceived usefulness for understanding and complying with GDPR. The results of the validation showed that, for both companies, the degree of perceived usefulness and ease of use of GDPRValidator is quite good. All the scores expressed agreement.
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spelling pubmed-97488282022-12-15 GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant Cambronero, M. Emilia Martínez, Miguel A. de la Vara, José Luis Cebrián, David Valero, Valentín PeerJ Comput Sci Data Science This article presents a tool called GDPRValidator that aims to assist small and medium-sized enterprises (SMEs) that have migrated their services, or a part of them, to the cloud to be General Data Protection Regulation (GDPR) compliant when they manage and store employees’ or customers’ data in the cloud. As these companies have a limited budget to hire legal experts to guide them in complying with GDPR, the main objective of this tool is to help SMEs to be more competitive by saving a considerable amount of money. By using GDPRValidator, these companies can learn and begin the GDPR compliance process by themselves and decide whether it will be necessary to hire GDPR legal experts in the end. GDPRValidator implements a process that aids companies in compliance analysis and validation and generates a series of documents with recommendations. These documents do not guarantee full GDPR compliance, but they can help the company better understand the regulation and improve its data management strategies. In order to validate the efficiency and efficacy of the tool, two SMEs have used it and provided feedback about its perceived ease of use and its perceived usefulness for understanding and complying with GDPR. The results of the validation showed that, for both companies, the degree of perceived usefulness and ease of use of GDPRValidator is quite good. All the scores expressed agreement. PeerJ Inc. 2022-12-01 /pmc/articles/PMC9748828/ /pubmed/36532816 http://dx.doi.org/10.7717/peerj-cs.1171 Text en © 2022 Cambronero et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Data Science
Cambronero, M. Emilia
Martínez, Miguel A.
de la Vara, José Luis
Cebrián, David
Valero, Valentín
GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant
title GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant
title_full GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant
title_fullStr GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant
title_full_unstemmed GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant
title_short GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant
title_sort gdprvalidator: a tool to enable companies using cloud services to be gdpr compliant
topic Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748828/
https://www.ncbi.nlm.nih.gov/pubmed/36532816
http://dx.doi.org/10.7717/peerj-cs.1171
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