This short course introduces the key processes and skills needed for managing and analysing data during an emergency. This is an important course for those working with data during emergencies, as there is so much information being generated and shared. The course looks at various types of humanitarian data, how to collect and collate it, data analysis steps and good practice, and what to consider in support to partners with their data. The course also touches on data responsibility and security.
Learning objectives
After completing this course you should be able to:- Describe the role of the IMO in collecting, processing and analysing data
- Describe the types of data that are made available and maintained for emergency response use
- Describe the four main steps for data cleaning
- Describe how to judge data quality
- Describe the steps involved in data analysis
- Describe common challenges in data collection and identify ways to address them with partners
- Explain how to develop and maintain data management systems
- Describe what Power Query is
- Describe the roles and responsibilities of an IMO in terms of storing and sharing data, information, and documents and why it is important
- List principles relating to data responsibility
Audience
Information Management Officers (IMOs), Coordinators or Programme and M&E staff with some basic knowledge of the humanitarian system.Length
It should take you about 6 hours to complete this self-paced course.
Methodology
This course is composed of short self-paced animated modules, including various examples and activities.
Structure
This course is composed of ten modules:
- Planning for data collection, processing and analysis
- Humanitarian data
- Collating and cleaning data
- Data analysis
- Improving data at its source
- Developing and maintaining data management systems
- Storing data
- Data responsibility and protection principles
- Developing an information-sharing and data confidentiality policy
- Technical tutorial (Excel - Power Query)