Collaborative Data Science

Data science relies on working across datasets, teams, disciplines and geographies. Collaboration is crucial, as well as key frameworks. In order to be translatable to patient care, the learning health systems framework helps to conceptualize where healthcare data sits in science, care and evidence domains. Knowledge of key competencies and professions in informatics and data science will facilitate team working. Moreover, without awareness of the national and international datasets which may be available, the “big picture” benefits of data science cannot be achieved.

In this Collaborative Data Science course, you will learn the tools (e.g. phenomics and interoperability and datasets) and guiding principles (e.g. competencies and regulation) to maximize the potential advantages of health data science, whether for patients or policymakers.

  • 3-4 hours
  • Self-paced and 100% flexible
  • Aimed at healthcare professionals
  • Dynamic online assignments
  • English
€79,- ex. VAT
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Course overview

You gain insight about the principles of collaborative data science including:

  • Cross-professional working, suggested competencies and frameworks
  • Data sources, linkages, sharing and version control
  • Interoperability and data standards
  • Phenomics and definitions
  • Regulation, information governance and approvals

It will also highlight the role and application of collaborative data science:

  • In the policy context and implications
  • From a patient and public involvement perspective
  • In real world setting

Learning objectives

By the end of the course, you should be able to:

  • communicate effectively across different research disciplines, and including the right people at the right time.
  • identify national and international data repositories and include these in your research in an ethical and reproducible way.
  • use different data (re)sources.
  • translate findings to implementation and make your research relevant for the patient.
  • understand how collaborative data science currently is being put to practice.

Course topics

  • What is collaborative data science
  • What are the resources and how to use these
  • How to make it relevant


To enroll in this course, you need:

  • MSc degree or similar
  • Access to Microsoft Excel
  • Sufficient proficiency in English reading and writing

Wij zijn Elevate

Wij geloven dat futureproof onderzoek essentieel is voor goede zorg. Daarom verbinden we innovatieve medische kennis met didactiek. Dankzij ons uitgebreide netwerk en bewezen didactische methodes, maken we Health & Life Sciences professionals beter dan gisteren.

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