Clinical Research Data Management

Training and more

The VIARES Clinical Research Data Management program is more than just training.

We aim to improve employability as Clinical Research Professionals for our participants. Our setup enables participants to complete their program next to a full-time job or in a focused effort. On successful completion of this program graduates 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 and others.

Enjoy all our services during your program enrollment. 

  • modules including
    • e-learnings
    • assignments
    • knowledge checks
  • VIARES ACADEMY certificate
  • GCP certification
  • modules including
    • e-learnings
    • assignments
    • knowledge checks
  • VIARES ACADEMY certificate
  • GCP certification
  • Talent Profile to connect you with open jobs
  • Talent Days to connect with our industry partners and learn about career opportunities
  • Talent Portal to apply for posted jobs available to the Talent Program Community

Program

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
  • join the live instructor-led webinars
  • take the final exam

Successfully complete all activities 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.
  • Background of medicines development
  • Research and discovery stage & product development
  • Clinical development
  • Regulatory submission, Health Technology Assessment, lifecycle management
  • ICH GCP and other applicable regulations
  • Applicable international and national regulations
  • ICH GCP E6 (R2)
  • FDA Regulation
  • Quality Assurance: Audits and Inspections
  • The Study Protocol
    • Elements of a Study Protocol according to ICH GCP
    • Trial Design
    • Methodologies
  • Roles and Responsibilities
    • Ethics Committees
    • Sponsor / Monitor
    • Investigator
    • Competent Authority
  • 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.

Program Dates​

We recommend to first join an information webinar, where we provide guidance and tips on how to best take the program.

Enrollment

until January 18, 2021

first come – first serve

Program LIVE WEBINARS

DAY

TIME

Kick-Off Webinar &

Access to Program opens

January 19, 2021

START: 5:30 pm CET

END: 6:30 pm CET

BLOCK 1

Introduction to Data as a Science

January 23, 2021

START: 2:00 pm CET

END: 3:00 pm CET 

BLOCK 2

Research & experiments with data

February 06, 2021

START: 2:00 pm CET

END: 3:00 pm CET 

BLOCK 3

Probability, randomness, & the risk of de-anonymization

February 20, 2021

START: 2:00 pm CET

END: 3:00 pm CET 

BLOCK 4

Sampling, data distribution, & secure data custody

March 06, 2021

START: 2:00 pm CET

END: 3:00 pm CET 

Exam Opens

March 08, 2021

 

Information can be subject to change without notice.

Expert instructors

Gavin Chait

Hear more from your instructor

Who should attend

This program will be of benefit to anyone with a life science degree and first relevant work experience, ideally but not necessary in clinical research or related areas.

Is this academy right for me? We are happy to help you make the right decision.
Email us at academy@theviares.com and we will contact you.

Typical jobs with this skills

You could apply for jobs like:

  • Clinical Data Analyst, Clinical Data Coordinator or similar

You can also take this program to broaden your current skills working in clinical research.

Affordable and flexible

Our Programs come at very affordable cost wherever you are in your career.

Nonmember: EUR 299 net  | Member: EUR 199 net

Invite your friends with your personal discount code to sign up and get refunded.

Our Programs come at very affordable cost wherever you are in your career.

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