The Implementation Science course , launched by The George Institute in partnership with the University of Colombo, aims to develop your skills, knowledge and understanding in applying critical evidence and research in program and change practices for implementing informed change within health.
This module on Exploratory data analysis under the Biostatistics course is aimed to build the capacity of public health researchers to be able to perform exploratory data analysis in context of the research question and research design and to prepare the data for statistical inference.
In the Exploratory data analysis module, participants will learn to:
Track Trial - Quality Management and Monitoring Plan Training. This training is designed to train
all CRAs and Regional centres participating in the TRACK trial to support them in their role as the trial progresses.
This course is intended for researchers, research degree students, and other professionals, who would like to improve their understanding of linkages between environmental changes and Non-Communicable Diseases (NCDs), innovative research approaches, and core principles for the development of effective solutions.
Intended Learning objectives:
Hello GHRC academy members!
A warm welcome to the Academy member zone! This is a platform for you to share, learn and collaborate in your journey at the Centre as researchers. The zone will serve as a:
There is always more to learn! So let us do it together!
This 5-part module is designed for an academic audience and will enable participants
to incrementally develop knowledge, skills, and expertise in systematic
literature reviews. This course is intended to supplement the open and free asynchronous
online learning modules contained in the course ‘Systematic
Reviews and Meta-Analysis’ by the Campbell Collaboration.
By the end of this course, course participants will be able to:
This course is intended for researchers, research degree students, and other professionals, who would like to learn how to plan, design, conduct, analyze and present Qualitative Research.
By the end of this course, course participants will be able to:
• Identify main features of different research paradigms.
• Learn how to plan and design a qualitative study.
• Learn key characteristics of and core techniques used within qualitative research.
• Learn when to use and how to plan, conduct, and document qualitative interviews and focus group discussions.
• Learn about validity and reliability in qualitative research.
• Learn how to enhance the trustworthiness of qualitative research.
• Learn about ethical issues, practices, and procedures in qualitative research.
• Learn strategies to present qualitative data.
• Learn what gender analysis is in qualitative research, why it is important and how to incorporate, analyze and present these findings.
Data management is common for all types of research projects. Appropriate planning and implementing data management processes is crucial for quality and efficiency of research output.
Upon completion of this course, participants will be able to develop the key elements of a data management plan, implement ways for producing quality research data and identify ways to ensure data integrity and security.
At the end of the course, participants will be able to:
- Recognize the importance of data management planning,
- Critically review data collection tool with a critical lens,
- Recognize key activities during planning, deployment, maintenance, and closure of a data management project,
- Plan and implement data quality control measures,
- Organize data to ensure security and reproducibility.
This course will contribute towards the education of GP’s to prevent and treat dementia in a primary care setting – therefore promoting better care of the elderly in community.
