Collecting primary data for academic research in crisisaffected- regions: challenges and recommendations
dc.contributor.author | Allali, B | |
dc.contributor.author | Kulatunga, U | |
dc.contributor.author | Salha, S | |
dc.contributor.editor | Sandanayake, YG | |
dc.contributor.editor | Gunatilake, S | |
dc.contributor.editor | Waidyasekara, KGAS | |
dc.date.accessioned | 2023-01-12T08:45:42Z | |
dc.date.available | 2023-01-12T08:45:42Z | |
dc.date.issued | 2018-06 | |
dc.description.abstract | Collecting primary data for research is one of the most critical stages in the research journey; it is the practical element of the research that requires access to data embedded in fieldwork. If the primary data is collected from a crisis-affected-regions, the fieldwork can generate a high risk to the researcher. The aim of this paper is to investigate the challenges of data collection in crisis-affected-regions. The personal experience of seven different PhD researchers who collected their primary data from crisis-affected-regions are presented and analysed in the paper. The findings suggest that the risks of collecting primary data from crisis-affected-regions can involve different challenges: some of them are related to the researcher, such as a lack of awareness around the aspects of the crisis context. Some other challenges are related to the research study, such as non-clarity of aims and objectives. Also, within the context of study the main challenge of collecting data is a lack of accessibility to data sources and documents. The paper provides different suggestions to improve the practices of collecting primary data from crisis-affected-regions. These are: providing supportive training to researchers who intend to research in crisis-affected-regions, networking with other researchers with the same interests, increased regular meetings with the supervisor, adapting an appropriate approach for collecting the data, and having a risk management plan. | en_US |
dc.identifier.citation | ********** | en_US |
dc.identifier.conference | 7th World Construction Symposium 2018 | en_US |
dc.identifier.department | Department of Building Economics | en_US |
dc.identifier.faculty | Architecture | en_US |
dc.identifier.pgnos | pp. 158-167 | en_US |
dc.identifier.place | Colombo | en_US |
dc.identifier.proceeding | Built Asset Sustainability: Rethinking Design, Construction and Operations | en_US |
dc.identifier.uri | http://dl.lib.uom.lk/handle/123/20151 | |
dc.identifier.year | 2018 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ceylon Institute of Builders | en_US |
dc.relation.uri | https://ciobwcs.com/downloads/WCS2018-Proceedings.pdf | en_US |
dc.subject | Challenges | en_US |
dc.subject | Crisis-affected-regions | en_US |
dc.subject | Data collection | en_US |
dc.subject | Primary data | en_US |
dc.subject | Research methodology | en_US |
dc.title | Collecting primary data for academic research in crisisaffected- regions: challenges and recommendations | en_US |
dc.type | Conference-Full-text | en_US |
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