Europaudvalget 2024-25
EUU Alm.del Bilag 626
Offentligt
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The Danish
Government’s response to
the consultation of the
Commission on a European Data Union Strategy
1. A refreshed European approach to data
The time is right for a refreshed and enabling European approach to data. It is in this
spirit that Denmark welcomes the Commission's efforts toward a new European Data
Union Strategy (EDUS). The Danish government calls for a strong focus on streamlin-
ing and simplifying the current regulatory framework to unleash the full potential of data,
also in view of the upcoming Digital Package.
The availability of large quantities of high-quality data is critical for the development of
artificial intelligence (AI), which is a key enabler for enhancing
Europe’s
global compet-
itiveness. Data sharing across the public and private sector is important for European
companies to be able to develop data-driven solutions.
The current regulatory framework for data hinders the full potential of data sharing. It is
also imposing significant administrative barriers and cost-related burdens for compa-
nies and authorities, ultimately stifling data-driven innovation.
From a Danish point of view, priority should be given to revise existing regulation in,
with a focus on reducing burdens, and improving the balance between protection and
innovation. This starting first and foremost with the General Data Protection Regulation
(GDPR), as well as it’s interaction with the ePrivacy Directive. Moreover, also horizon-
tally across data regulations to ensure simplification, consistency and legal clarity.
Furthermore, at a horizontal level, new and existing legislation should be digital ready
from the get-go through a screening of the acquis and by ensuring that structured and
standardised data formats are set for businesses reporting requirements.
Finally, automating digital business reporting - by standardizing and streamlining cross-
border data interoperability
is crucial to reduce administrative and unlocking the many
opportunities of a more connected and streamlined EU data economy.
Against this background, the following response elaborates on our key points to be
aware of in the forthcoming EDUS:
Making more room for innovation while maintaining a strong framework for
data-protection
A clear and consistent regulatory framework for data sharing
Ensuring the availability of high-quality data for the uptake of AI-solutions
Encouraging the use of data-driven solutions to burden reduction and enabling
data sharing between businesses
18 July 2025
2. Making more room for innovation while maintaining a strong framework for
data-protection
While the protection of personal data is a fundamental right, which in its core shall be
respected, the GDPR in its current form is creating barriers to the development and use
EUU, Alm.del - 2024-25 - Bilag 626: Notat og høringssvar vedr. strategien for en europæisk dataunion
of data-driven solutions such as AI that benefit European companies, citizens and pub-
lic authorities. Where better data use could support the development of solutions that
benefit European companies and citizens, the current regime risks stalling technological
and societal
innovation and limit Europe’s chances to compete in the AI race.
A recent study finds that compliance with GDPR (and associated national legislation)
costs Danish companies close to EUR 2 billion every year. There is an urgent need to
address the negative effects of GDPR, which constitute a drag on European competi-
tiveness.
Many initiatives in the private and public sector are being paused or abandoned due to
concerns over compliance, stemming from GDPR rules that can be complex, unclear,
and challenging to navigate without specialised legal expertise.
Danish companies point to burdensome documentation requirements and mapping of
dataflows and the broad scope of the rights granted to the data subjects. In particular,
small companies and non-profit organizations find the GDPR burdensome to comply
with. The impact is also felt by citizens
who find it more cumbersome to participate
in community and volunteer organisations. From a Danish perspective it is very im-
portant to safeguard the continued functioning and prosperity of the civil society and
local associations.
Thus, Denmark advocates for an upcoming revision of the GDPR that ensures that
public authorities, businesses and individuals can benefit from data-driven solutions.
Rather than hindering innovation, the revised framework should unlock improved ac-
cess to data for the training of AI models.
There is no doubt that we need data protection in the EU. Nonetheless, we need to do
it smarter and more flexible. Specifically, Denmark encourages an even more risk-
based approach, where regulatory requirements are proportionate to the actual risks
involved in data processing. Denmark sees a need to recalibrate the balance between,
on one hand, ensuring an adequate level of protection of personal data, and on the
other, ensuring the right scope of action for companies, so they can continue to thrive.
Additionally, in the spirit of ensuring that companies are not stifled by excessive regula-
tory burdens, the interaction between GDPR and the ePrivacy Directive should be par-
ticularly considered. The costs related to implementing and maintaining a cookiebanner
for companies are substantial vis-à-vis the often harmless
from a privacy perspective
simple tracking purposes involved in maintaining a website. Users are also becoming
increasingly desensitized to cookie consent banners. Instead of fostering trust, this risk
leading to “cookies fatigue” —
where rules overwhelm users, rather than empowering
them.
From Danish side, it is suggested that only companies collecting data for purposes of
marketing or sharing of data with third parties should be required to maintain a cook-
iebanners. This would massively reduce burdens to European companies and avoid
overwhelming users, while not compromising with the protection of personal data. Thus,
it could be appropriate to make an exemption in the GDPR, whitelisting the processing
and storage of personal communications data for technical purposes and for simple
statistics.
In this vein, Denmark recommends:
Revise and simplify the data protection regime to reduce burdens for busi-
nesses and make it more innovation friendly.
Consider a more risk-based approach to data protection.
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Abolish the cookie-banner for non-harmful purposes.
3. A clear and consistent regulatory framework for data sharing
Efforts to achieve a single market for data are currently hindered by the absence of a
clear, simple and consistent regulatory framework for data sharing and reuse (see ex-
amples in Chapter 6. Appendix, Figure 1.).
The upcoming EDUS and Digital Package is an opportunity to review the EU data reg-
ulation to addresses these inconsistencies, in view of simplifying burdens for companies
and enable data sharing for businesses, citizens and authorities. Against this back-
ground, the Danish Government strongly recommends specifically:
The horizontal digital regulation should be aligned in order to provide a clear
and consistent legal framework for data sharing and reuse. This includes the
General Data Protection Regulation (GDPR), Data Governance Act (DGA),
Data Act (DA), AI Act (AIA), Interoperable Europe Act (IEA), Open Data Di-
rective (ODD), Free Flow of Data Regulation (FFDR).
The horizontal digital regulation should be coordinated with sectoral regulation
such as Intelligent Transport Systems Directive (ITS), Payment Services Di-
rective (PSD), Infrastructure for Spatial Information in the European Commu-
nity Directive (INSPIRE), European Health Data Space Regulation (EHDS)
and others in order to provide an easier overview and reduce redundancy or
the risk of inconsistency.
Focus on the value added of existing regulation, without prejudice to any piece
of legislation. This may involve integration of some of the regulation, e.g. the
ODD and chapter II the DGA, in order to collect related regulation in single acts
to provide an easier overview and reduce redundancy or the risk of incon-
sistency. This could furthermore involve repealing the DGA whilst placing its
governance structure elsewhere, namely the European Data Innovation Board
(EDIB). Alternatively, the Commission should consider reviewing the condi-
tions for data intermediation services provider (DISP) listed in article 12 of the
DGA with a view to stimulating innovation in the data market that is yet to de-
velop.
The rules regarding AI training on personal data or other protected data should
be clarified with deference to the protections provided by the GDPR, the DA
and other relevant regulations.
4. Ensuring the availability of high-quality data for the uptake of AI-solutions
The availability of large quantities of data of high quality are an essential component in
the development of AI-solutions.
The EDUS should continue and build on ongoing efforts to make more data reusable
for AI training and other purposes. This should encompass both ODD and DGA related
data sharing by public sector organizations and data sharing of companies in data
spaces.
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EUU, Alm.del - 2024-25 - Bilag 626: Notat og høringssvar vedr. strategien for en europæisk dataunion
Further efforts regarding data quality would increase usability for AI. This includes clear
definitions of data quality, increased use of standardized data, standards for documen-
tation and processes for data quality assurance and trusted data transactions. Moreo-
ver, greater legal certainty regarding intellectual property rights (IPR) and personal data
rights in relation to AI training and models is needed to support Europe as an AI conti-
nent.
A renewed effort to highlight the value of data sharing through data spaces and other
mechanisms is also important. In order to support efficient supply chains, the flow of
data within the EU need to be as open and smooth as possible. Open data in particular
should remain open to maximize value creation and avoid introducing administrative
burdens. The strategy should also support improved sustainability of European data
spaces. This includes both the common European data spaces and other initiatives.
Data valuation and pricing seems to be a particular challenge as well as definition of
sustainable business models for the data spaces. Engagement of private businesses
is also hampered by uncertainty about security of business secrets, unclear business
models and this should therefore be addressed in the EDUS.
5. Encouraging the use of data-driven solutions to burden reduction and ena-
bling data sharing between businesses
Data-driven solutions have a significant potential to simplify data sharing and reporting,
facilitating compliance and reducing the administrative burdens faced by businesses.
To this end, we encourage the use of digital tools, such as the European Digital Identity
Wallet under eIDAS2 Regulation, and the forthcoming Business Wallet.
Furthermore, while acknowledging the need to simplify existing data regulation, a simi-
lar long-lasting effort must be taken to encourage digitisation, standardisation and au-
tomation of data collection, handling and sharing needed for businesses reporting obli-
gation.
Increasing businesses digital capabilities, streamlining and harmonising digital report-
ing requirements and provide common open and decentralized EU data infrastructures,
has the potential to dramatically reduce the current burdens stemming from manually
business-to-business data gathering, processing and sharing across fragmented sys-
tems available on the market.
Thus, the EDUS should promote digital ready legislation to existing and new reporting
requirements making sure that they follow structured and harmonised data formats that
can be easily shared across interoperable IT systems in open business data exchange
infrastructure.
Furthermore, efforts should be targeted to make EU digital tools and businesses digital
systems interoperable, portable and to handle standardised data by exploring common
minimum requirements and technical functionalities as well as methodology on data
sources and methodology in digital business systems to make digitised and automated
reporting comparable. This could be realised through the establishment of a long-term
open business data infrastructure build on standards and interoperability in collabora-
tion between the Commission, Member States and private actors.
Here a clear governance model should be explored in terms of combining and creating
interoperability between existing EU building blocks as well as defining a common EU
architecture for business data distribution and by ensuring the necessary links to other
efforts such as the EU data spaces. The infrastructure should look to existing best prac-
tices in Member States, existing Union wide data infrastructures, such as the Open
Peppol network, and ongoing efforts to build new infrastructures, such as the digital
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product passport system. It is key to secure an open and interoperable infrastructure
that all European businesses can use without risking vendor lock-in and keep cost
down.
6. Appendix
Figure 1.: For example, while GDPR establishes the principle of privacy by design
(Regulation (EU) 2016/679, article 25), the Data Act (DA) demands access by de-
fault. Similarly, while the Cyber Resilience Act (CRA) requires that manufacturers of
digital products address vulnerabilities through security updates (COM (2022) 454
final, article 1(3)(k)), the Ecodesign for Sustainable Productions Regulation (ESPR)
stipulates that “no change shall occur as a result of rejecting [software and firmware]
updates” (Regulation
(EU) 2024/1781, article 40(5)).
Additionally, definitions lack of consistency as well, such as “data processing service”
in the DA and “cloud computing service” in NIS2, as well as “data centre service” in
NIS2. In addition to this, the term “data holder” is defined differently in the DA and
the Data Governance Act (DGA).
At the same time, contradictions and inconsistencies regarding reporting and auditing
requirements also exist across EU legislation. One example is the lack of harmoni-
zation on the requirements related to market surveillance systems (e.g. the NIS 2
Directive, CRA, Cybersecurity Act, and AI Act), leading companies to submit the
same or similar information multiple times.
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