Introducing
ETHICS AND DATA MANAGEMENT
Ethics And Data Management
Course Details
Background
This course is designed to provide the researcher with ethical issues encountered in research and how to handle ethical issues. The leaner will also be oriented with the operations of the Zambia National Health Research Authority (NHRA) regulations. The course also covers management of data for research in a timely, accurate and quality way.
Rationale
In most cases, research participants are side-lined and do not benefit from some research projects conducted. Indeed, knowledge and training on ethical issues surrounding research subjects is warrantable internationally. This course provides just that.
Many individuals fail to collect and store quality data for their research, hence affecting the impact of their manuscript late alone the hope for publishing in a peer reviewed journal. When quality data is collected and stored well, it will not only answer the research question for which data was collected but often is a gold mine where many research questions can be answered in future. This course has been designed to address data management challenges in research.
Code
EDMFees
K2, 000 per personLocation
OnlineContact
Dr. Sepiso K Masenga, BSc, MSC, CT, PhDDates
Commencement date: 18th January, 2021Aim
To provide skills and competencies for leaners to be able to plan, collect, store, share research data and conduct research in an ethical manner.
Objectives
At the end of the program Learners should be able to:
- Understand Ethical issues in research
- Understand the ethical review process
- Understand ethical regulatory operations and guidelines of the NHRA
- Learn how to conduct research within ethical guidelines
- Learn how to plan, collect, store and share research data
Competencies
At the end of this course, learners will be able to do the following:
- Ethics knowledge on research related to human or animal studies
- Ethics Certification with an international body
- Writing ethics consents, statements, assents etc
- Good clinical practice
- REDCap interphase
- Data collection and handling skills
- Data sharing
Entry requirements
The candidate must possess a minimum of a degree in any health-related course or be a student or learner at diploma or degree working on or planning to design a research protocol.
Expected prior knowledge
Must have conducted or participated in research project before or have some basic knowledge of research activities and what is involved. Beginners are encouraged to take RPD prior to this course.
COURSE DELIVERY.
Intensive 2 weeks of didactic lectures, hands-on practical and tutorials sessions
QUALIFICATION
Upon successful completion the candidates will be awarded a certificate in Ethics and Data management. This qualification will only apply to a student who passes the final exam.
Course Content
- Human Subject Protection
- Good Clinical Practice
- Biomedical Responsible conduct of Research (RCR)
- Cultural Competence in Research
- Clinical Trials
- National Health Research Authority regulations
- Health Information Privacy and Security (HIPS)
- Data management in Research
- REDCap
Lesson Schedule
Day |
Lesson/activity |
Responsible/Lecturer |
Day 1 |
Human Subject Protection part I |
Dr SK Masenga |
Day 2 |
Human Subject Protection part II |
Mr BM Hamooya |
Day 3 |
Good Clinical Practice |
Dr SK Masenga |
Day 4 |
Biomedical Responsible conduct of Research I |
Mr BM Hamooya |
Day 5 |
Biomedical Responsible conduct of Research II |
Dr SK Masenga |
Day 6 |
Cultural Competence in Research Health Information Privacy and Security (HIPS) NHRA regulations |
Dr SK Masenga |
Day 7 |
Data management in Research I |
Dr SK Masenga |
Day 8 |
Data management in Research II |
Mr BM Hamooya |
Day 9 |
REDCap |
Dr SK Masenga |
Day 10 |
Assignments due and Quizzes |
Dr SK Masenga |
note |
REDCap project due 7 days after completion (day 10) |
Dr SK Masenga |
Teaching Methods
Lectures
Hands-on Tutorials
Assignments
Timing and schedules
Monday to Friday
Note: select one when applying
- Option A: 06:00 – 08:00
- Option B: 10:00 – 12:00
- Option C: 12:00 – 14:00
- Option D: 16:00 – 18:00
- Option E: 18:00 – 20:00
Assessment Method
- Assignment 20%
- Quizzes 20%
- Final Project 60%
Certifications
Mulungushi University certificate will be provided