Chapter 4.4 Collection and management of good quality data
The collection of reliable data for Health EDRM research and practice requires careful preparation and planning. Different methods can be used to gather data, and the local context, time and resources available should be considered in selecting the most suitable approach for a specific study.
Chapter 4.4 discusses important aspects that should be considered before, during and after data are collected to ensure that it is of good quality when used in Health EDRM research. It explores planning and preparation processes, different methods for data collection, the challenges that a researcher may face when studying disasters and tools that might help them to address these challenges. Finally, the chapter discusses how to ensure good quality data are stored and made accessible to others, so that it can bring additional benefits.
This chapter describes explains key aspects of data collection for research in health emergency and disaster risk management (Health EDRM), including:
- Different sources and methods for data collection, along with their advantages and limitations.
- Challenges involved in collecting data in disaster settings, and how these might be overcome.
- The importance of data quality, data storage and data sharing.
Authors: Gouvea-Reis F, Dell’Aringa MF, Murray V.
