Data Stewardship, Short Course | Part time online | Elevate Academy | Netherlands
2 days
79 EUR/full
79 EUR/full
Tuition fee
Apply date
Start date


In this Data Stewardship course offered by Elevate Academy we will take you along the journey of a data steward in medical science.


What you will study

During this Data Stewardship course offered by Elevate Academy , you will develop skills regarding Communication, Scientific reporting, Research, and Implementation. By the end of the course, you should be able to:

  • Discuss the issues of retrospective and prospective data verification with both domain experts and data experts.
  • Explain data research approaches to the data scientist.
  • Formulate questions and issues on data with data scientists.
  • Use basic principles of scientific medical background when reporting about data science results.
  • Use basic principles of the clinical decision-making process at the individual patient level when reporting about personalized medicine.
  • Use basic principles of the limitations of the model with respect to medical, clinical, technical, and model exceptions when reporting about data science models.
  • Make a technical file for CE marking that explains basic principles of reporting.
  • Design data validation rules compliant to GDPR to limit data entry for analytics.
  • Retrospectively check data usefulness for research by verifying parameter values at both intra and inter-parameter levels dependent on a specific domain.
  • Translates care data to high quality structured data for research.
  • Recognize errors in data and deletes, alters, or excludes data from study.
  • Validate data using semi-automated approaches fit for large data sets.
  • Explain to the data scientist that sensitivity analysis is needed when the model cannot be validated manually.
  • Search for understanding of putative mechanisms of found correlations in clinical decision-making tools, within domain knowledge, personal interactions, and literature search.
  • Develop Data privacy impact assessment (DPIA) and data management plan (DMP).

Programme Structure

The program focuses on:

  • Data Stewardship
  • Data handling
  • Data Stewardship in Clinical Decision Support
  • Data validation
  • Data sharing
  • Data management plan

Key information


  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.




  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

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

Tuition Fee

To always see correct tuition fees
  • International

    79 EUR/full
    Tuition Fee
    Based on the tuition of 79 EUR for the full programme during 2 days.
  • EU/EEA

    79 EUR/full
    Tuition Fee
    Based on the tuition of 79 EUR for the full programme during 2 days.


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