Research Lab - Data2Health

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Understanding Data Governance

Data2Health is a research training program of the University Koblenz and University of Applied Sciences Koblenz that aims to enhance clinical decision-making and patient monitoring through trustworthy analysis of healthcare data. This initiative involves six PhD projects exploring innovative approaches to data transmission, delivery, and predictive analytics, including trusted edge cloud methods, wireless systems, and AI applications in precision medicine. The research training program is partially funded by the Ministry of Science and Health Rhineland-Palatinate.

Data governance in healthcare is a critical component of ensuring the accuracy, accessibility, and security of patient information. The conccept encompasses the processes of decision-making and accountability, ensuring efficient and legally compliant management and utilization of data resources, treating data as an asset. Yet, a holistic understanding of what data governance comprises and what are the necessary components to realize data governance is still lacking.

Goals of Research Lab

The research objectives are to systematically analyse the literature with regard to data governance and existing data governance frameworks, and to conceptualize the field through a concept matrix and an ontology.

Tasks

  1. Systematically study scientific literature to gather the status of research on relevant theoretical concepts such as Data Governance, Information Governance, Health Data Governance, Clinical Data Governance, and Medical Data Governance.

  2. Systematically study scientific literature to build foundations of Data Governance Concepts and by extension with Health Data Governance.

  3. Investigate and specify legal critical requirements for data sharing in healthcare and utilize existing frameworks such as “Data governance and data policies at the European Commission”, “Health Data Governance for the Digital Age by Organization for Economic Cooperation and Development” and similar frameworks. 

  4. Synthesize the findings and develop conceptual models for data sociality and data governance that are built on above aspects

  5. Project management and regular progress report presentations

  6. Documentation of research results and the concept within the project manual

  7. Final presentation

Skills needed for participation

  • Knowledge of methods of systematic literature review and synthesis of findings
  • Analytical and structured thinking
  • Interest in qualitative research
  • Project management and soft skills (presentation, documentation, teamwork)
  • Excellent presentation and documentation skills & good english skills - oral and written

Your benefits

  • Investigation and establishing competencies in a highly relevant cross-section field of using data-driven innovative technologies in healthcare within the given frame of legal requirements
  • Systematization of knowledge and extracting knowledge gaps in the given field
  • You will acquire
    • competencies and knowledge in academic writing and skills on conducting structured and systematic literature analysis of a complex research topic
    • skills of project management and specific project roles in a team, including leadership
    • experiences in documenting and communicating research results

Work with us in an exciting context of a project within a real environment! We anticipate an exciting collaborative effort!