Exploring Stakeholders’ Practical Needs for GDPR Compliance
Ana Ferreira
a
, Pedro Vieira-Marques
b
and Rute Almeida
c
RISE-Health, Department of Community Medicine, Information and Health Decision Sciences,
Faculty of Medicine, University of Porto, Porto, Portugal
Keywords: GDPR Compliance, Privacy by Design, User Centered Research.
Abstract: In a time when various regulations and directives are enforced within the European cyberspace regarding
cybersecurity and data protection, General Data Protection Regulation (GDPR) requirements are still far from
being completely understood and integrated into the practice of individuals personal and sensitive data
processing. Having clear directions of what is needed to protect the privacy of personal data is essential but
even more, is the availability of tools and mechanisms that can provide easy, structured and, hopefully, more
automated ways to implement those requirements in practice. After more than six years of GDPR enforcement,
how are people aware, knowledgeable and prepared to comply with GDPR in their daily practice? Moreover,
what still needs to be done to improve this process? This work presents the results of a survey aimed to collect
the perceptions, preferences and needs regarding interactive and assistive tools, together with its content, to
support GDPR compliance in practice. Participants (n=62) from varied backgrounds and experiences agreed
that such tools are very needed and can have beneficial impact in terms of Privacy, Knowledge, Efficiency
and Productivity, but also in terms of Safety. Results also show that stakeholders who frequently need to
perform personal data processing, do not many times have the knowledge, experience or required support to
put compliance procedures into practice, and within their context. Our study contributes to understanding
what content and functionalities a GDPR compliance tool must include to support those stakeholders.
1 INTRODUCTION
As with any legislation, the European General Data
Protection Regulation (GDPR) (GDPR, 2016) is
made to be generic. This may difficult the integration
of its requirements in different domains (Quinn and
Quinn, 2018; Cool, 2019), as it provides little or no
technical guidance to the entities that are obliged to
implement it. This approach aims to be impartial but
may cause unforeseen complications when
organizations attempt to adapt their processes to
GDPR (Politou et al., 2018).
In a 2020 literature review (Ferreira, 2020), two
years after GDPR enforcement, most proposed
guidelines and proof of concepts in the literature were
not tested or used in real settings.
Four more years have elapsed, and works focusing
on understanding end users’ needs, challenges and
preferences regarding practical GDPR compliance or
a
https://orcid.org/0000-0002-0953-9411
b
https://orcid.org/0000-0001-7755-5002
c
https://orcid.org/0000-0003-4174-2820
identifying available, adapted and interactive tools
that can support them with those challenges, are few.
On a search query in SCOPUS indexation
database with the following terms: TITLE-ABS-KEY
(survey AND gdpr AND compliance), on the
5/12/2024, 58 results were retrieved. From the
analysis of their titles and abstracts, only a few works
were closer to the subject in exploration in this study.
A work (Iadinic et al., 2023) discusses the results
of a survey applied to Croatian SMEs regarding
GDPR compliance challenges. Commonly, SMEs fail
to demonstrate an adequate level of compliance with
the GDPR due to a lack of literacy on the data
protection legal framework or a lack of supporting
resources. Results also indicate that SMEs would
greatly benefit from additional practical guidance and
templates relating to various internal policies and
GDPR requirements such as data retention, deletion,
access, maintaining records of processing activities
and training strategies for staff on data protection
matters (Iadinic et al., 2023). There was no clear
460
Ferreira, A., Vieira-Marques, P. and Almeida, R.
Exploring Stakeholders’ Practical Needs for GDPR Compliance.
DOI: 10.5220/0013360900003929
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 27th International Conference on Enterprise Information Systems (ICEIS 2025) - Volume 2, pages 460-469
ISBN: 978-989-758-749-8; ISSN: 2184-4992
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
understanding of what type of practical guidance
would be the most adequate.
Other works in the literature have explored if a
tool/platform focusing on supporting GDPR
compliance would be part of such guidance. The
study (Tsohou et al., 2023) has answered positively to
this question and described that end users highly
expressed the need for a platform that enables them
to: i) “clearly verify whether the basic GDPR
principles and their rights are complied with; ii) know
when their data is processed by third parties; iii)
define their consent; and iv) is user friendly”. A
platform was built in the ambit of that study.
However, the authors could only find an online demo
and no further testing results from user experience
and impact on GDPR compliance or use in practice.
A 2021 review of GDPR compliance software
solutions shows that organisations are being “greatly
challenged in meeting GDPR compliance obligations,
despite the myriads of software tools available to
them” (Ryan et al., 2021) (IAPP-EY, 2019). Solutions
commonly lack interoperable features or are not
based on evidence.
Other works focused on specific requirements and
try to validate GDPR compliance in an automated
form (Chhetri et al. 2024) (de Montety et al., 2019)
(Libal, 2021). Moreover, a specific software tool to
provide support for Data Protection Impact
Assessments (DPIA) execution, in French, can be
found here (PIA, 2024).
Although these mentioned examples are relevant,
they address only a few specific GDPR requirements
(e.g., DPIA or consent management), not all the main
requirements. Also, those examples may potentially
need extra knowledge in terms of configuration and
data inputs for the various requirements associated
with the regulation. In addition, it is not clear if such
examples are adapted to the infrastructure and context
where they are applied as well as the users
experiences and expectations.
In fact, existing solutions may not be as successful
as predicted. Many organisations choose to use
manual methods such as spreadsheets to manage their
GDPR compliance (Ryan et al., 2021), while 76% do
not use commercial software tools to carry out
compliance activities (IAPP, 2019). Stakeholders
continue to struggle with core GDPR compliance
requirements such as DPIA, register of processing
activities and data inventory mapping.
Functional, user-friendly, interactive, easy
understandable, freely available tools are still scarce
to find. Many times, the existing solutions are not
context-oriented, difficult to adapt and commonly
focus on a few specific GDPR aspects such as digital
consent management or data sharing. Maybe this is
explained by the fact that no exploration works of
stakeholders’ needs, preferences, context specific
needs and actual day by day activities are found in the
literature. Solutionsdesign and development must be
integrated from the beginning of its conception. Co-
designing such tools with stakeholders can give a
higher degree of assurance of what is required and
really works in practice.
A recent work from the authors aims to target
these challenges but with a focus on health research
projects management (Ferreira et al., 2024). The
authors propose the implementation of a high-fidelity
prototype of a recommendation platform (IRIS) for
compliance of health projects with GDPR. The work
integrated user centered research methodologies and
was performed in co-design with the target
population. It addresses GDPR in the light of non-
experts in law or its requirements so that it is easy for
the lay user to get the main definitions and be guided
on the main requirements. Being just an interaction
design prototype, it only describes the interaction
scenarios, and the focus is a specific context.
However, some of its outcomes are being further
explored in this present work.
Our present work aims to present the results of a
survey to collect perceptions, preferences and needs
regarding GDRP compliance within stakeholders’
professional practice, from various domains, as well
as the requirements for the development of an
interactive/assistive tool to guide them in the
compliance process. Asking stakeholders directly can
provide insights into what are the real needs and
challenges that need to be addressed and overcome.
Next section describes the applied methods while
section 3 presents the obtained results. Section 4 and
5 discuss the results and conclude the work providing
future research directions, respectively.
2 METHODS
2.1 Data Collection
An anonymous online survey was designed on google
forms and shared in LinkedIn on the 18/10/2024,
where it was available for a month. Participants from
the authors’ contact networks were invited to answer
the survey via the post and to share it.
The survey was written in English to reach a wider
audience and not limit replies from the authorscloser
community.
Exploring Stakeholders’ Practical Needs for GDPR Compliance
461
2.2 Survey Structure
The online survey comprised the following 5 main
parts:
1. Informed consent;
2. Demographics;
3. GDPR literacy;
4. Personal data processing;
5. GDPR compliance supporting tools.
More details are presented in Table 1 and in the
text that follows.
Table 1: Detailed content of each survey section.
Part Content
1. Informed consent with project’s description;
Purpose and type of data processing;
Responsible researcher contacts;
Participants’ consent to
p
articipate
2. Demographic data: Age, Gender, Main
Occupation, Areas of Activity;
Years of Experience;
Numbe
r
of Employees of Working Institution
3. Awareness, Knowledge, Relevance and
Ade
q
uate Su
pp
ort re
g
ardin
g
GDPR
4. If personal data processing is part of the
participant’s professional activity;
What
p
ersonal data
p
rocessing is
erfor
e
d
5. Available tools to support GDPR compliance;
The need for such tools;
Any free tools;
The positive impact such tools could have;
The need to be adaptable to context and
requirements;
The device to use it;
The content such tools should include;
The use of a chatbot/AI Assistant to either
com
p
lement o
r
re
p
lace such tools
Although the study is anonymous, section 1 is
required for compliance with GDPR, to describe the
ambit, nature of the study, together with personal data
to be processed, to study participants before they
choose to participate or not.
Section 2 aims to characterise the main
participants’ demographic variables.
Section 3 bases the questions on one of the three
main categories raised by (Ferreira et al., 2024) in the
analysis of data collected from interviews, the main
“Concerns about GDPR”.
Section 4 questions aim to detail our sample needs
and associated activities for personal data processing.
Section 5 bases its questions on two of the three
main categories raised by (Ferreira et al., 2024)
“Content for the tool” and “Tool characteristics”, to
explore our sample needs in terms of supporting tool
features and content.
2.3 Data Analysis
Descriptive statistics were extracted from the google
forms report as well as from a .csv file exported from
the same forms.
3 RESULTS
3.1 Demographics
The online survey was answered by 62 participants,
47% female, with an age ranging from 36 to 45 years
old (31%) and 46 to 60 years old (50%).
Forty percent (40%) of participants work in
research, 26% in Education while 26% in IT
(Information Technology). Their main areas of
actuation are Healthcare (47%), Cybersecurity and
Privacy (42%) as well as IT engineering and
networking (26%) (Figure 1).
More than half of respondents (58%) have more
than 20 years of experience working in their specific
areas while 15% have between 16 and 19 years of
experience, 13% between 6 to 9 years of experience
and 8% less than 5 years of expertise.
Figure 1: The main areas of actuation of the survey
respondents.
Forty seven percent (47%) of participants work in
large companies (more than 1000 employees) while
others are distributed by companies between 200 and
1000 employees (21%), 50-200 employees (19%) and
less than 50 employees (13%) (Figure 2).
47%
42%
26%
7%
5%
3%
Healthcare
Cybersecurity
& Privacy
IT
Energy
Management
Arts
Main areas of actuation
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462
33.90%
37.10%
29%
Yes Sometimes No
Figure 2: Participants’ institutions dimension.
3.2 GDPR Perceptions
Most respondents (82%) completely agree or agree
that they are aware of GDPR while 76% completely
agree or agree that they are knowledgeable regarding
this regulation (Figure 3).
Figure 3: Perceptions of awareness and knowledge
regarding GDPR.
3.3 Personal Data Processing
Eighty four percent (84%) of participants completely
agree or agree that GDPR is essential for the
protection of personal data processing. Moreover
34% affirm that personal data protection is frequently
part of their main occupation, 37% state that
sometimes it is while 29% answered No (Figure 4).
When asked what type of personal data processing
was performed, 37% mentioned personal data from
staff, clients or the academic community while 23%
referred the processing of clinical/health/patient data.
Figure 4: Answers from respondents regarding the
frequency they engage in personal data processing on the
course of their activity.
3.4 GDPR Supporting Tools
Regarding the knowledge of existing supporting tools
to comply with GDPR during personal data
processing, 48% of respondents do not know, 27%
answered Yes while 25% replied No. Some
characteristics referred by the participants about those
tools are presented in Figure 5.
Figure 5: GDPR compliance supporting tools mentioned by
the survey participants.
When asked specifically about free tools, 90% of
respondents answered No and 10% answered Yes.
Names provided for these free tools comprise:
Ghostery, Cookie Script, PIA tool from CNIL; or the
European Data Protection Board Guidelines.
3.5 Need for a GDPR Supporting Tool
Regarding the usefulness of a GDRP supporting tool,
89% of participants agree while 10% do not know.
Participants agree in the positive impact such tools
can have in terms of Privacy (76%); Knowledge
(63%); Safety (60%); Efficiency (53%); and
Productivity (45%) (Figure 6).
0% 20% 40% 60% 80% 100%
I'm aware of this
regulation
I'm knowledgeable
about it
I completely agree
I agree
Neutral
I disagree
I completely disagree
12.90%
19.40%
21%
46.80%
Less than 50 employees
50-200 employees
200-1000 employees
More than 1000 employees
Exploring Stakeholders’ Practical Needs for GDPR Compliance
463
0% 20% 40% 60% 80% 100%
Clear main GDPR terms
Clear GDPR requirements
Clear data owner rights
I completely agree I agree Neutral I disagree I completely disagree
Figure 6: Respondents’ opinions regarding the impact that
a supporting tool for GDPR compliance would have in their
daily activities.
When asked to justify the need for such tool,
participants gave various reasons. The most frequent
justifications were that a tool would help: i) to
understand legal concepts and requirements as well as
provide adequate and even automated protection
(n=11; 18%) and ii) to support non-experts in the
field, including SMEs and researchers, to understand
basic concepts (n=10; 16%). Other participants also
referred that such tool could help in data processing
management and efficiency and would be useful to
provide a compliance score when self-evaluating
their data processing procedures for GDPR
compliance.
Quotes from the participants are presented in
Figure 7.
Figure 7: Quotes from survey participants on the need for a
GDPR compliance supporting tool.
3.6 GDPR Supporting Tool - Design
A tool to support GDPR compliance in different
contexts must necessarily integrate different
functionalities and respond to various needs. Next, we
describe tool’s characteristics that were mentioned by
our sample.
Regarding tool content, 89% and 90% of
respondents completely agree or agree they would
like to have clarification of GDPR main terms and
requirements, respectively, while 79% completely
agree or agree to have clarification of data owners’
rights (Figure 8).
Moreover, when participants were asked about
practical measures for data protection processing
within the tool, 87% and 84% of respondents
completely agree or agree they would like to have
guided data protection processing and guided GDPR
requirements application in the practice of data
processing, respectively (Figure 9).
Also, 84% of participants would like to have
access to recommendations of security measures
and/or mechanisms to apply according to their own
data processing needs.
Figure 8: Participants’ opinions regarding GDPR supporting tool compliance content.
76%
63%
60%
53%
45%
3%
2%
2%
2%
Privacy
Knowledge
Safety
Efficiency
Productivity
Compliance
Completeness
Audit
No
GDRP compliance tool impact
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18%
27%
34%
11%
10%
I completely agree
I agree
Neutral
I disagree
I completely disagree
Figure 9: Participants’ opinions regarding practical procedures for secure data processing.
Figure 10: Participants’ opinions regarding access to templates for informed consent or DPIA procedures.
Regarding templates the tool might include, 82%
and 84% of participants completely agree or agree to
have access to informed consent and DPIA templates,
respectively (Figure 10).
Figure 11 shows the percentages of responses
regarding the integration of a Chatbot/AI Assistant
feature within the GDPR compliance supporting tool.
Forty-five percent of respondents completely agree or
agree with this integration while around a third of
respondents did not have a defined opinion.
Figure 11: Opinions regarding the inclusion of a Chatbot/AI
Assistant feature to the GDPR compliance tool.
For more clarification, participants were asked
regarding the detachment of the compliance tool from
the Chatbot/AI Assistant. If they would prefer both or
only one of those tools. Answers show that 47% of
respondents prefer the compliance tool alone while
42% prefer both tools. One participant also refers that
including an AI Assistant implies that it needs to
comply with the AI Act (AI Act, 2024).
Bringing to more general design and
specifications, 74% of respondents agree that a
GDPR compliance supporting tool must be adaptable
to the context of data processing while 16% agree it
to be adapted to both data processing context and
users’ needs.
Some quotes to justify these responses are
presented in Figure 12.
Figure 12: Quotes from survey participants regarding the
need for the GDPR compliance support tool to integrate
both context and users’ needs.
0% 20% 40% 60% 80% 100%
Informed consent templates
Data protection impact assessment
(DPIA) templates
I completely agree I agree Neutral I disagree I completely disagree
0% 20% 40% 60% 80% 100%
Guided data protection processing
Apply GDPR requirements into data
processing practice
Mechanisms for secure data processing
I completely agree I agree Neutral I disagree I completely disagree
Exploring Stakeholders’ Practical Needs for GDPR Compliance
465
Further, while asking the participants what type of
device they would be more willing to use to access
such tool, 81% mentioned they would prefer using a
laptop while 15% a smartphone.
The last survey question asked the participants to
provide other suggestions they would like to share
with study researchers. We highlight here two of
those suggestions for further discussion:
Possibility of generating the necessary
documents from the provided data
AI Assistance should be provided in the
background, handling events, and helping to
fill the gaps
4 DISCUSSION
GDPR is to be applied in any domain where personal
data processing is required and it needs to integrate
the necessary privacy and security to prove that it is
so. This demands that every such context needs the
available expertise to implement it in practice. If we
consider the type of knowledge such person needs to
have, we reach a set of multidisciplinary and very
different and complex subjects such as IT, privacy,
cybersecurity, the domain associated to the context
and law, just to name a few, which are not easily
acquired.
This is likely unmanageable for many
organizations, and this is why we need to devise other
strategies to overcome these challenges. This study
aims to contribute a step further in this direction.
The sample that participated in our online survey
had a lot of experience in areas such as healthcare and
IT which may mean they are more aware of the
importance of protecting sensitive and personal data.
However, as shown by our results, this may not also
mean that they have the required knowledge or tools
to implement GDPR compliance best practice, which
research commonly shows (Iadinic et al., 2023)
(Tsohou et al., 2023). Our sample was not so
confident in their knowledge of GDPR as they were
aware of it.
Almost half of our sample is working in large
companies which may explain their frequent
participation in personal data processing activities
with some knowledge of existing tools to support
those activities. However, most of the mentioned
tools are in fact manual guidelines or procedures, also
in accordance with previous works (Ryan et al.,
2021). Even when in online format, they still lack
interactive capabilities. Possibly those that mentioned
proprietary tools may have more of the late features
integrated, but the authors could not assess them.
Regarding the mentioned free tools, these are
specific tools which are not comprehensively tackling
the main GDPR requirements or providing practical
knowledge to users but rather focus on specific needs.
For example: the Ghostery is a tracker and Ad blocker
and includes online private search; the Cookie Script
includes tools to make a website compliant with the
latest privacy regulations including GDPR (not more
details were provided in its description); the PIA tool
from CNIL comprises mainly documents and guides
for best practice while performing a DPIA, and the
European Data Protection Board Guidelines are also
documents to provide best practice and to clarify the
law for better interpretation.
Overall, our sample clearly confirms the need of a
more interactive and comprehensive GDPR
compliance supporting tool, as explored in previous
research (Iadinic et al., 2023) (Tsohou et al., 2023).
The authors would like to stress this fact for future
research in this area. Associated justifications focus
on the complexity of the theme and the volume of
knowledge and data there is to manage. A tool could
alleviate and support that work as well as facilitate the
communication, translation and interpretation of legal
language to practical settings, in accordance with this
previous study (Iadinic et al., 2023). It would also
help in the compliance implementation and
verification, again as shown already in the literature
by (Tsohou et al., 2023), where the need for a
platform to automatically verify compliance of
specific GDPR requirements would be of great help.
Moreover, our sample clearly perceives and
acknowledges the impact such tool could have not
only on the protection of personal data processing but
also on improved knowledge of the regulation and its
requirements and practical implementation. In turn,
this can have an impact on the efficiency and
productivity of their professional activity. In addition,
if the privacy of personal data is increased so can be
the safety of the data subjects, especially in the
healthcare domain (well represented in our sample),
where breaches of confidentiality and privacy can
negatively impact patients’ safety and wellbeing.
Another contribution of this work is the specific
characteristics and associated justification that the
tool may include. Although a high experienced
sample and actively dealing with data protection
challenges, they value the integration of clear content
from GDPR general knowledge and concepts as well
as from more specific guidance in practice. Previous
research also highlights the fact that there is a lack of
literacy as well as supporting resources, guidance and
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466
templates to provide for GDPR compliance in
practice (Iadinic et al., 2023) (Ryan et al., 2021). A
focus is put on the inclusion of templates, which can
save a lot of time, especially regarding informed
consent (mandatory), and in the suggestion of the
most adequate security mechanisms or measures to
apply and how.
Other tool components that may be useful to
complement the main tool functionalities is a
Chatbot/AI Assistant. Almost half of participants
agree with the inclusion of this component but more
than a third also remain neutral about this topic. Our
sample perceives the benefit of an AI Assistant
mostly when integrated in the main tool, as a
complementary support. One participant even refers,
as an added suggestion at the end of the survey, that
AI Assistance should be provided in the background,
handling events and maybe fill the gaps.
In addition, AI can be used not only to provide
pre-defined legal recommendations as well as
improve user’s interaction experience, but also to be
able to integrate and adapt users’ requirements for
specific contexts. As confirmed by our study, the
majority of participants (74%) agree that supporting
tools for GDPR compliance must comprise the need
to be adaptable to context. AI can easily learn and
integrate specific needs from specific contexts into
the on-the-fly recommendations and support.
To notice also that another participant raised the
issue that such Assistant needs to be AI Act
compliant. In fact, the tool itself needs to be GDPR
compliant, and this awareness is very important to
keep in mind for future developments.
An important detail that was revealed by our
sample is the preference of using a laptop device to
access the compliance supporting tool. This may be
because the laptop is still the most common working
device and using this tool will be part of their
professional context.
More than quantitative data, the survey also
collected qualitative data to further explore the
choices of our sample. The need for a compliance
supporting tool is justified to alleviate the complexity
of procedures as well as the day-to-day management
of personal data processing, aiming to improve
effectiveness and efficiency of the process. To
accomplish this, such tool needs to be flexible and
adaptable (mentioned by various participants no
one-size-fits-all solutions) to be able to consider both
general and specific requirements. But not all
participants have this opinion. One participant prefers
standardized tools. These have obvious advantages
for compliance procedures that are common to
different domains and purposes and can even be used
across different regulations and legislations.
However, to bring more value, the tool also needs to
allow customization both for the context and
specificities at hand as well as for the users that will
interact with it. As mentioned by the participants, the
tool needs to support both expert and lay people. As
GDPR goes across every domain where personal data
is processed, we cannot expect to have law experts in
every possible setting.
This aspect goes along with some of the
suggestions made by the participants at the end of the
survey:
“Possibility of generating the necessary
documents from the provided data”. General
templates can be made available, especially the
ones concerning informed consent as a
mandatory requirement for personal data
processing, However, other documents may also
be generated for specific domains, such as in
research when an Ethics Commission needs to
approve a study, or a record of activities
performed in the ambit of the “right of access” or
the “right to be forgotten” in healthcare;
AI Assistance should be provided in the
background, handling events, and helping to fill
the gaps”. AI can be very useful in filling the
gaps to adapt and customise needs on the go, to
learn what can be more relevant to a certain
context at a certain time, and to answer to users’
requests for different types of data processing or
even added protection for more sensitive data.
4.1 Limitations
This work has some limitations, including the small
sample size and the main recruitment venue being
used was the LinkedIn platform. However, since this
was a short period study, the authors agreed that it
was a platform where a more varied sample of people
could be reached and faster. Still, this can also be
biased by the authors’ connections most probably
linked with their own personal and professional
interests.
The analysis was only made with descriptive
statistics, but a deeper exploration can be made to find
possibly deeper connections between demographic
variables such as age and domains of actuation to the
specific tool characteristics, preferences and
perceived benefits.
Exploring Stakeholders’ Practical Needs for GDPR Compliance
467
5 CONCLUSIONS
By 2024, more than 6 years after the GDPR has been
enforced in all European State Members to regulate
citizens personal data protection, not many works
were found in the literature that aim to understand
users’ knowledge, needs and contexts to implement
GDPR compliance in practice.
The lack of research on this topic impacts the way
users and organizations will approach this
requirement. Also, not many straightforward tools are
available to provide the right knowledge and support
the usage of that knowledge within stakeholders’
professional contexts, without needing to be experts
in law or privacy.
On the way to fill this gap, this study aimed to
explore the perceptions, preferences and needs
regarding interactive and assistive tools, together with
its content, to support GDPR compliance in practice.
Our results show that stakeholders who frequently
need to perform personal data processing do not often
have the knowledge, experience or required support
to put compliance procedures into practice in their
context. This work contributes to understanding what
content and functionalities could be included in an
interactive tool to be designed to provide a holistic
management of all requirements and further
enhancing the capability of GDPR compliance.
Our study outcomes can be leveraged with the
outcomes of previous works to integrate both user
research needs not only at the interaction and design
level but also on the content needs and expectations.
ACKNOWLEDGEMENTS
This work is funded by project Health from Portugal
- HfPT (Aviso 2022-C05i0101-02 Agendas/Alianças
mobilizadoras para a reindustrialização, Projeto nº
C630926586-00465198”).
Ana Ferreira is supported by Fundação para a
Ciência e Tecnologia (FCT), project DRAPE-
Designing Trust and Privacy into Research, Ref.
2022.00381.CEECIND/CP1712/CT0001; DOI:
10.54499/2022.00381.CEECIND/CP1712/CT0001.
Rute Almeida is supported by FCT, Ref.
CEECINST/00056/2021/CP2804/CT0004; DOI:
10.54499/CEECINST/00056/2021/CP2804/CT0004.
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