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Learn how GA4GH helps expand responsible genomic data use to benefit human health.
Learn how GA4GH helps expand responsible genomic data use to benefit human health.
Our Strategic Road Map defines strategies, standards, and policy frameworks to support responsible global use of genomic and related health data.
Discover how a meeting of 50 leaders in genomics and medicine led to an alliance uniting more than 5,000 individuals and organisations to benefit human health.
GA4GH Inc. is a not-for-profit organisation that supports the global GA4GH community.
The GA4GH Council, consisting of the Executive Committee, Strategic Leadership Committee, and Product Steering Committee, guides our collaborative, globe-spanning alliance.
The Funders Forum brings together organisations that offer both financial support and strategic guidance.
Learn how GA4GH is working to expand its global reach and cultivate connection and meaningful engagement with members of the international genomics and health community.
Distributed across a number of Host Institutions, our staff team supports the mission and operations of GA4GH.
Curious who we are? Meet the people and organisations across six continents who make up GA4GH.
More than 500 organisations connected to genomics — in healthcare, research, patient advocacy, industry, and beyond — have signed onto the mission and vision of GA4GH as Organisational Members.
These core Organisational Members are genomic data initiatives that have committed resources to guide GA4GH work and pilot our products.
This subset of Organisational Members whose networks or infrastructure align with GA4GH priorities has made a long-term commitment to engaging with our community.
Local and national organisations assign experts to spend at least 30% of their time building GA4GH products.
Anyone working in genomics and related fields is invited to participate in our inclusive community by creating and using new products.
Wondering what GA4GH does? Learn how we find and overcome challenges to expanding responsible genomic data use for the benefit of human health.
Study Groups define needs. Participants survey the landscape of the genomics and health community and determine whether GA4GH can help.
Work Streams create products. Community members join together to develop technical standards, policy frameworks, and policy tools that overcome hurdles to international genomic data use.
GIF solves problems. Organisations in the forum pilot GA4GH products in real-world situations. Along the way, they troubleshoot products, suggest updates, and flag additional needs.
GIF Projects are community-led initiatives that put GA4GH products into practice in real-world scenarios.
The GIF AMA programme produces events and resources to address implementation questions and challenges.
NIF finds challenges and opportunities in genomics at a global scale. National programmes meet to share best practices, avoid incompatabilities, and help translate genomics into benefits for human health.
Communities of Interest find challenges and opportunities in areas such as rare disease, cancer, and infectious disease. Participants pinpoint real-world problems that would benefit from broad data use.
The Technical Alignment Subcommittee (TASC) supports harmonisation, interoperability, and technical alignment across GA4GH products.
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All GA4GH standards, frameworks, and tools follow the Product Development and Approval Process before being officially adopted.
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Publishes regular briefs exploring laws and regulations, including data protection laws, that impact genomic and related health data sharing
Translates findings from studies on public attitudes towards genomic data sharing into short blog posts, with a particular focus on policy implications
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1 Sep 2026
This policy brief — published as part of the GA4GH Health Data Sharing, Privacy, and Regulatory Forum — discusses the European Data Protection Board’s (EDPB) draft Guidelines and its understanding of “scientific research purposes” when processing personal data, in relation to existing European data regulations.
By Mikel Recuero, University of the Basque Country
This policy brief focuses on discerning what the European Data Protection Board’s (EDPB) draft Guidelines understand by “scientific research purposes” in the context of the processing of personal data. Furthermore, we briefly refer to the complex legal interplay between these Guidelines, the EU’s General Data Protection Regulation’s (GDPR) underlying approach, and the Regulation 2025/327 on the European Health Data Space (EHDS).
The GDPR contains a set of provisions specifically applicable to the processing of personal data for scientific research purposes. These provisions include inter alia, adaptations in the application of some basic data protection principles (such as purpose or storage limitations), exceptions to some data subjects’ rights (such as right to erasure), a possibility of granting broad consent (Recital 33), or even a specific condition for the processing of special categories of personal data when the processing is necessary for the pursuit of scientific research (Article 9(2)(j)). The provisions aim to strike a fair balance between the fundamental right to data protection and other fundamental rights and interests, including the freedom of the arts and sciences (Art. 13 of the EU Charter of Fundamental Rights), the broader societal and public interest in scientific advancement (Recital 157 GDPR), and even, as some authors argue, the international human right to science¹. To this end, a trade-off is introduced via the adoption of appropriate safeguards pursuant to Article 89(1) GDPR.
Accordingly, data controllers may have access to this “privileged” regime under the GDPR, provided that they can substantiate and demonstrate that the purpose of their personal data processing is to carry out scientific research. However, despite the important role given to scientific research in the Regulation, orientations and guidance have been rather limited.
On 15 April 2026, the European Data Protection Board (EDPB) adopted the Guidelines 1/2026 on processing of personal data for scientific research purposes. These Guidelines provide the genomics and health community with a valuable resource and referential point, but they also give rise to a number of issues and lead to complex legal interactions.
Determining when processing is undertaken for scientific research purposes
In an attempt to shed some light, while conceding there is no universally agreed definition, the EDPB builds on the concise notes set out in the GDPR’s recitals 157 and 159 to further develop six key-indicative factors for determining whether processing of personal data is motivated by scientific research purposes. These factors function as a cumulative rebuttable presumption: where all are satisfied, the controller may presume that the processing constitutes scientific research within the meaning of the GDPR, and no further justification is required. Nevertheless, where one or more factors are absent, the presumption does not automatically operate but the burden shifts to the controller, who must be able to justify and document why the processing should nonetheless be regarded as scientific research.
According to the EDPB, the six key-indicative factors of the test are as follows:
In operational terms, this means data controllers will need to conduct a self-assessment against the above-described six factors before processing personal data. It follows that the rationale behind this test is not to confer the status of genuine scientific research to certain projects, hypotheses, or research endeavours, but merely to delineate which personal data processing activities that are motivated by such purposes are eligible for greater regulatory flexibility.
How is this consistent with the current approach and letter of the GDPR?
It is worth considering to what extent the EDPB’s position sits comfortably with the current wording of the GDPR and, notably, with the European Commission’s declared goal of fostering research and innovation in the EU². The GDPR deliberately refrains from defining scientific research in a restrictive manner: recital 159 states that scientific research shall be interpreted in a “broad manner.” However, the EDPB’s six-factor test introduces a degree of normative specificity that sits uncomfortably with this legislative choice.
One particular point of criticism has been the EDPB’s excessive focus on academic and institutional research, leading to a situation where science is almost equated with established institutional habits or practices of academia. The autonomy and independence factor introduces a requirement for academic qualifications or credentials (e.g. holding a PhD), which risks excluding legitimate research carried out by skilled professionals in industry settings who may lack formal academic titles, and could exclude activities carried out by start-ups, SMEs, or citizen-science initiatives that are not run by professional scientists. Furthermore, applying all these factors together would appear to narrow down the scope of what constitutes scientific research beyond what the GDPR originally intended. As a result, novel, interdisciplinary research that does not yet exhibit all the hallmarks of mature research endeavours could be excluded from the privileged regime; thereby impacting not only the original scope of the GDPR, but also the essence of freedom of science.
This does not offer a promising scenario for genomic and health data sharing collaborations, as public-private partnerships and consortium-based science are increasingly becoming the global standard, while AI is reconfiguring how and by whom scientific research is carried out.
Secondary use of personal electronic health data in the EHDS framework
At a first glance, it would appear that the EHDS sets a higher threshold, especially since access to personal electronic health data under its infrastructure would be subject to stronger protections and safeguards (including technical measures, secure processing environments, and governance mechanisms) than those provided for in the EDPB’s test. Yet, many research, development, and innovation activities may still not satisfy the EDPB’s requirements, which creates an actual risk of contradictory compliance obligations.
The new EHDS Regulation is likely to transform the secondary use of electronic health data (both personal and non-personal) for scientific research purposes over the next decade. As for the secondary uses that are expressly permitted, Article 53(1)(e) of the EHDS refers specifically to “scientific research related to health or care sectors”. Recital 61 clarifies, in line with the GDPR, that “the notion of scientific research purposes should be interpreted in a broad manner”. In contrast to the GDPR, however, the EHDS does provide a greater level of detail in terms of what constitutes scientific research in the context of secondary uses.
On the one hand, this far-reaching claim is followed by an illustrative list of purposes that would fall within the scope of permitted secondary use, including, in particular: “(i) development and innovation activities for products or services” and “(ii) training, testing and evaluation of algorithms, including in medical devices, in vitro diagnostic medical devices, AI systems and digital health applications.” On the other hand, the EHDS places a sectoral restraint on the fields in which research is conducted within the EHDS (“related to health or care sector”), while also imposing several conditions of general interest on the concerned research activities. In particular, the latter translates into an obligation, pursuant to Article 67(2)(c) of the EHDS to demonstrate to Health Data Access Bodies (HDABs) what the expected benefits are and to what extent they can contribute to society or to end users (i.e. patients, health professionals, and health administrators).
Consequently, tensions resulting from a strict application of the EDPB’s six-factor test and the EHDS framework for the secondary use of personal electronic health data deserve careful examination.
Mikel Recuero is Privacy & Data Governance Counsel and postdoctoral researcher at the University of the Basque Country.
Footnotes
Further reading
Relevant GDPR provisions
Relevant EHDS provisions