SciTransfer
Organization

INSTITUT ZA PLUCNE BOLESTI VOJVODINE

Serbian pulmonary disease research institute with expertise in smoking prevention and FAIR health data interoperability.

Research institutehealthRSNo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€168K
Unique partners
32
What they do

Their core work

Institut za Plucne Bolesti Vojvodine (Institute for Pulmonary Diseases of Vojvodina) is a specialist clinical research centre in Serbia focused on respiratory medicine, lung disease diagnosis and treatment, and related public health challenges. In EU research, they have contributed as a clinical site providing patient data, disease-specific expertise, and real-world healthcare context — first in the area of smoking behaviour and cessation, then in health data infrastructure and interoperability. Their institutional focus on pulmonary conditions makes them a natural partner for research touching tobacco-related lung disease, chronic respiratory conditions, and clinical data governance. As a Serbian institution, they also bring a non-EU Balkan healthcare perspective that adds geographic and demographic diversity to pan-European health consortia.

Core expertise

What they specialise in

Pulmonary and respiratory clinical researchprimary
2 projects

Their institutional mission as a pulmonary disease institute underpins both projects — SmokeFreeBrain directly addresses smoking-related lung disease risk, and FAIR4Health drew on their clinical patient data assets.

Smoking prevention and cessationprimary
1 project

SmokeFreeBrain (2015-2018) focused on multidisciplinary tools to improve public prevention measures against smoking, where IPBV contributed clinical and epidemiological expertise.

1 project

FAIR4Health (2018-2021) aimed to improve EU health research through FAIR data practices; IPBV contributed clinical datasets and participated in building interoperable health data infrastructure.

Health informatics and distributed data miningemerging
1 project

FAIR4Health keywords explicitly name health informatics and distributed data mining as core competencies exercised during that project.

Evolution & trajectory

How they've shifted over time

Early focus
Smoking prevention, public health
Recent focus
FAIR data, health informatics

In the first half of their H2020 participation, IPBV's EU research role was defined entirely by clinical domain knowledge — specifically smoking prevention and the public health burden of tobacco-related respiratory disease. By the time of FAIR4Health (2018-2021), their focus had shifted toward the infrastructure layer of health research: FAIR data principles, e-health services, health informatics, and distributed data mining. This suggests they evolved from being a clinical content contributor to also functioning as a data-providing and data-governance actor within larger digital health ecosystems. The trajectory is consistent with a clinical institution that accumulated structured patient data over time and then found value in contributing that data to EU-level interoperability efforts.

IPBV appears to be positioning itself as a clinical data contributor in digital health research networks, making them a relevant partner for future projects that need real-world pulmonary or respiratory patient data in an interoperable format.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European13 countries collaborated

IPBV has participated exclusively as a consortium member, never taking a coordinating role, which is typical for specialised clinical institutions whose primary contribution is domain expertise and patient data rather than project management. Both their projects were large Research and Innovation Actions, suggesting they are comfortable operating within sizeable multi-partner structures. With 32 unique partners across just two projects, they have broad but shallow network exposure — each project brought a new set of collaborators rather than a recurring core group.

IPBV has collaborated with 32 distinct organisations spanning 13 countries across two projects, indicating they have been embedded in large, geographically diverse consortia. Their network is wide relative to their project volume, but the absence of repeated partners suggests they have not yet built a settled inner circle of long-term collaborators.

Why partner with them

What sets them apart

IPBV is one of very few Serbian clinical institutions active in H2020 health research, giving them a distinct value as a non-EU Balkan clinical site — consortia benefit from this for geographic coverage requirements and for access to patient populations with different exposure and healthcare system profiles. Their combination of pulmonary clinical depth and demonstrated capacity for FAIR health data practices is relatively rare among specialist hospitals in the Western Balkans. For a consortium building around respiratory disease data or tobacco-related health outcomes across Europe, IPBV fills a specific niche that few Serbian research centres can.

Notable projects

Highlights from their portfolio

  • SmokeFreeBrain
    Their largest-funded project (EUR 120,200) and the most direct expression of their clinical mission — a multidisciplinary smoking prevention effort that placed IPBV's pulmonary expertise at the centre of a public health intervention study.
  • FAIR4Health
    Marks a significant strategic shift: IPBV moved beyond clinical subject matter into health data infrastructure, contributing to EU-wide FAIR data adoption in health research and acquiring digital health governance competencies.
Cross-sector capabilities
Digital health infrastructure and data governancePublic health and behavioural scienceEnvironmental and occupational health (air quality, respiratory exposure)
Analysis note: Only two projects with keywords available for just one of them. The institutional name and project titles make the clinical specialisation clear, but depth of technical capability in health informatics versus data contributor role cannot be reliably distinguished from this data alone. Confidence would rise significantly with access to deliverables or report summaries.