Qualitative strategies are critical to research studies in many settings, and clinical settings are no exception. In this case, it is not uncommon to find critical care nurses who specialize in administrative tasks involving data management and qualitative research. Consequently, effective data management is a crucial component in both quantitative and qualitative research as it aims to ensure the authenticity and usability of the data, as well as protect the participants involved in the research. It is in no way false to say that qualitative research provides a profound illustration of an experience that highlights the significance of a study. Even so, data in qualitative research can take various forms including field notes, audio/videotapes, transcriptions, memos, and analysis. In essence, data management in qualitative research has different definitions, however what stands out is the structure to systematise, categorize and archive materials to make them efficiently retrievable and duplicable. Another meaning may refer to the conversion of data representing human interactions into written reports as part of qualitative data management. The importance of proper data management lies in the ability to enable researchers to collect information in various forms or locations for different research purposes, while maintaining data security. In this regard, the paper explores the forms and importance of qualitative research strategies in hospital cybersecurity implementations. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay In any research, data analysis is an approach that revolves around the grounded theory method. This technique involves the process of methodically researching and grouping the collected data with the aim of increasing understanding and enabling the researcher to present the findings accordingly. Furthermore, the method involves creating and integrating categories and their properties, as well as defining and writing emerging theory. A central approach to data reduction and visualization is the coding process, while verification is the process of concluding research. Coding is the process of naming or labeling things, categories, and properties. It can also be defined as the process of identifying and naming significant portions of text. Furthermore, Grounded Theory uses different coding techniques to examine the collected data. In analyzing hospital cybersecurity concerns, coding is considered the first step because it helps move away from particular claims toward a more abstract interpretation of the data collected. This technique involves refining the data into categories namely: open coding, axial coding and selective coding. Similarly, the main procedures in grounded theory are open, axial, and selective coding. The main steps of the Grounded Theory used in this analysis are the following: label the emerging concept, group the concept into categories and identify the relationships between the categories. The first two steps are based on open coding while the last one uses axial coding. Researchers analyze transcripts following the coding procedure defined in open coding and axial coding. Open coding is the first step of analysis and begins by collecting the main points from the raw data. It is part of the analysis that involves identifying, naming, categorizing and describing patterns found in the raw data, thus allowing the concept to materialize. In.