Data Management and Security in Qualitative Research

Abstract

Qualitative research provides rich data on phenomena important to nursing and may offer in-depth information for critical care nurses in providing care to their patients. Data management, which encompasses topics such as human subjects' protection, confidentiality, data storage and record keeping, data ownership, and data sharing, is a critical process in qualitative research that deserves researchers' attention. Thus, the purpose of this article is to synthesize existing research studies on qualitative data management.

Establishing good collaborative research practices in the responsible conduct of research in nursing science

“…Negotiating one’s role on a well-known quantitative research team may bring epistemological challenges concerning data ownership. As noted by Lin (2009), “It may be more difficult in qualitative research to have a clear data ownership agreement, especially where data ownership is split between 2 or more parties” (p. 136). More research is needed to better understand the exploitation concerns of junior faculty members, including those whose primary methodological focus of inquiry is qualitative.…”

Women’s Experiences and Knowledge of Breast Self-Examination: A Qualitative-Quantitative Study

“…In addition, phenomenology is a systematic and accurate method to extract and display the perceptions of human experience about various phenomena. In other words, the use of phenomenological method is one of the most important ways to identify experiences 11 . According to the objective of the study, participants were selected based on a purposive sampling method from women referring to health care centers of Jiroft, who had experienced a breast self-examination test, and had the following inclusion criteria for this study.…”

Data Ownership: A Survey

“…In addition to the aforementioned examples and the literature and studies mentioned in this chapter, other literature [70][71][72][73][74][75][76][77][78] discuss aspects of data ownership in health sector, but are not explained in detail since the presented examples above are up to date and cover the most aspects relevant to the scope of this paper.…”