Clinical Data Management

Data as a Science, Research & experiments with data, Probability, randomness, & the risk of de-anonymization, Sampling, data distribution, & secure data custody, …


A Flexible Online Setup

Our setup enables you to complete this program either next to a full-time job or in a focused effort. 100% of the program is online and most of the training courses can be completed at any time.

Get Certified & Job Ready

On successful completion of this program, you will be certified and will have acquired knowledge, skills and competencies to start at an entry level role as Clinical Research Data Science, like Clinical Data Analyst, Clinical Data Coordinator, or similar.

The VIARES Clinical Research Data Management program is more than just a training. It’s a life-changer!


  • GCP

The fee includes:

  • registration fee
  • all online-training course material
  • one year online access to our learning management system
  • mini-exams during the training to test your knowledge
  • VIARES exam online
  • personalized certificate upon completion

plus exclusive VIARES benefits:

  • join career events at no cost
  • free access to our weekly updated global job list
  • apply to exclusive job offers
  • get your personal career coaching

Course Content

The Clinical Research Data Management program consists of four modules. You will complete the following learning activities:

  • review the e-learning
  • submit the assignment
  • take the module test

4 Modules – 100 Learning Hours – VIARES Certificate.

Successfully complete the 4 competency modules below to obtain your VIARES Academy Certificate.

  • Identify concepts in ethical reasoning which may influence our analysis & results from data.
  • Understand the process of data curation, & the custodial duty of data science. Learn some essential tools used by data scientists.
  • Investigate & manipulate data to learn its metadata, shape & robustness.
  • Identify an appropriate chart & present data to illustrate its core characteristics.
  • Recognise the importance & process for applying concepts of privacy & anonymity.
  • Integrate methods for metadata & archival into data management.
  • Investigate data distribution & confidence, & reshape using Pandas.
  • Illustrate core analysis with histograms & box plots.
  • Determine implications in collection, mining & recombination of open- & digital data.
  • Employ methods for presenting data for synthesis & usage, & employing methods for data maintenance.
  • Perform techniques in randomness & probability to understand distribution & likelihood.
  • Apply histograms, line charts & scatter plots to illustrate probability.
  • Acknowledge the privacy & confidentiality issues in data storage & security of personal data.
  • Recognise responsibilities & mechanisms for securing data-at-rest & data-in-motion.
  • Apply linear & continuous sampling methods to assess normal distributions.
  • Plot distributions as normal histograms & continuous curves.


This program will be of benefit to anyone with a life science degree and/or first relevant work experience, ideally in clinical research, pharma or related areas, e.g. working with patients, medical products or services, medical technology, laboratories or similar.

If you are not sure if this is the right training for you, we are happy to help you make the right decision. Email us at and we will contact you.

Your expert instructors

Hear from our graduates



The VIARES Clinical Research Academy is a great resource for career development in clinical research. I appreciate Eric Klaver, Gabriele Disselhoff, and Gavin Chait for the effective training for the ICH GCP guideline and its application to the clinical


trials. Thank you Dietmar Eglhofer for your responsive communication and support throughout the online training program. Thank you!




I have successfully completed the VIARES Clinical Research Talent Program, allowing me to expand my clinical research skills. The program has informative micro-courses and webinars which are organized. This program provided me with deep


insights into clinical research. I highly recommend it to anyone interested in the field of Clinical Research.


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Clinical Data Management
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      Data Scientist at Whythawk

      Gavin Chait is a Data Scientist at Whythawk, which specializes in integrated open data consulting, and training for open knowledge, freedom of information, and economic development projects. He spent more than a decade in economic and development initiatives in South Africa. He was a commercial director at the Open Knowledge Foundation, and led the implementation of numerous open data projects around the world. Gavin has twenty years of experience in teaching at all academic levels, and is a passionate advocate for knowledge development through open access to data and freedom of information.

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