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Collection and Management of Clinical Research Data using ODK and Kobo Toolbox


The course focuses on clinical research data management that complies with international Good Clinical Practice (GCP) standards as published by the International Congress on Harmonization, E6 Consolidated Guidance. The course will have an overview of the GCP process used internationally for conduct of human subjects’ research, and how it supports research data management that is accurate, complete, timely, verifiable, secure, and available for analysis. 

The course will balance theoretical guidelines with the use of practical tools designed to assist in planning and conducting research. Real-world research examples, problem solving exercises and hands-on training will ensure students are comfortable with all concepts.


5 days


This course is geared towards clinical researchers, investigators, research nurses, study coordinators and all other study staff.


  • Have a clear understanding of clinical research data management that complies with international  Good Clinical Practice (GCP) standards
  • Participants will be able to plana good Data Collection Strategy
  • Have a hands-on experience in data collection using ICT tools i.e. RED cap and ODK
  • Perform research data management that is accurate, complete, timely, verifiable, secure, and available for analysis


  • Overview of the Good Clinical Practice (GCP) standards
  • Principles of database design
  • Survey design and sampling
  • Planning a Data Collection Strategy
  • International controlled vocabulary standards for creation of research variables and their values using REDcap (Research Electronic Data Capture)
  • Creation of paper and electronic data capture forms
  • Principles and practice of information security
  • Mobile data collection using Open Data Kit (ODK)
  • Hosting data on KoBo Toolbox.
  • Setting up KoBo Collect for mobile data collection.
  • Mobile device calibration for data collection.
  • Visualizing and analyzing data on KoBo Toolbox.
  • Downloading/extracting data for analysis.
  • Approaches to data validation and cleaning
  • Participants will create a research data management plan as an independent work assignment, and implement a sample study using REDCap and ODK


Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The training is residential and will be held at IRES Training Centre Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814


This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment should be transferred to IRES account through bank on or before C.O.B 15th  July 2019

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.    Participants may cancel attendance 14 days or more prior to the training commencement date.

2.    No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 5 Days
Event Date 22-07-2019
Event End Date 26-07-2019
Cut off date 15-07-2019
Individual Price(Kenyan) KES 69,000
Individual Price (International) EUR 790
Individual Price(International in Dollars) USD 920
Location Nairobi, Kenya
We are no longer accepting registration for this event
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