Managing Research data is an important area in the responsible conduct of research. How the data will be managed should be planned before the start of any research project. Researchers must know how to manage their data to ensure that these are properly documented and systematically organized.
Data management encompasses all phases of the data life cycle: starting from data creation and collection and going to data analysis; preparing data for preservation and archiving; metadata and documentation; distribution and publication; and re-use of data.
The training course aims to provide participants with basic good practices for managing data. It covers organizing raw data in spreadsheets , data cleaning/checking, validation. Participants will be given basic knowledge and several hands-on exercises promoting good practices in managing research data.
Course Objectives
At the end of this course, the participants will be able to:
- Discuss the research data lifecycle as well as the basic concepts of data management
- Explore different tools that can be used for data management/collection
- Practice research data management through hands-on exercises
- Explain the importance of data backup, storage and security
- Discuss data archiving and sharing benefits and platforms
- Enhance awareness regarding fraud in research
- Develop a data management plan
Key Modules
- Data Management Planning
- Data Collection and Documentation
- Data Cleaning
- Data Preservation/Storage/Backup
- Data Sharing/Reuse
Course Requirements
Laptop, Microsoft Excel, Microsoft Word, knowledge in Excel, and Word.
Learning modality
The course will be delivered purely online through lectures, hand-on activities, group/individual presentation, quizzes, and pre-post course assessment.