Discuss two strategies that would help a researcher manage and organize the data.

The data can be described as a type of data that approximates and characterizes, and it is usually collected through methods such as observation one–on–one interviews and also through the conduction of focus groups (Hall, Chai, & Albrecht, 2015). Qualitative data organization is imperative for any of the researchers since it facilitates them to conduct appropriate data analysis and organizations since it becomes much easier to retrieve such data. When data is organized, it eliminates any aspects of confusion and perhaps allows the researchers to collect useful and adequate data without any limit. For effective management and organization of the data, the researcher needs to make use of the following major straggles. 

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1. File description strategy. This strategy involves the provision of brief details about the data file in question. Such information will help the researcher to know much about the data file without necessarily opening it (Wolff, 2018). Secondly, the file description strategy will also help the research preserve the data file’s information, such as data location, data abbreviation meanings, and the details regarding when the data file was collected. During the data file collation exercise. The said data file information is used to eliminate any future confusion about organized quality data.
2. Systematic naming. In this strategy, the research is able to quickly find and sort data files and folders using consistent names that are distinct and unique. Also, for effective data management, the researcher needs to utilize this strategy by using various name components such as acronym, their initials, version number, consistent formatted dated, and perhaps name all the directory data file folders (Wolff, 2018).

Discussion 2 

A study is performed either by observation or interview, thereby creating voluminous and cumbersome data that can be overwhelming to the researcher. Examples include phenomenological and ethnographic research. While both research types are descriptive and qualitative in nature, each has different characteristics as well.

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Phenomenology research is described as an approach that is qualitative in nature and perhaps aims at the commonality of the shared and lived life experiences with a given group of people. Its fundamental objective is to arrive at a given description of the existing nature of a particular phenomenon. Additionally, Phenomenology research describes individuals’ experiences over a given situation by collecting primary data through an in-depth interview. Data analysis is done by listing significant participants’ statements and responses to determine the statement’s meanings and identify the importance of the phenomenon. Phenomenological research explores a person’s experience. An example can be a study of nursing students’ experience in the RN to BSN degree program at GCU (Ishitani, 2017).

On the contrary, ethnography research explains the cultural features and events of a group of people with the help of collecting primary data through participant observation over a certain period of time. Data analysis is usually done with a holistic description and search for cultural themes in a given data. Ethnography research studies cultural scenes and characteristics. An example can be examining the nurse-patient relationship in a mental health care facility. 

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References

Hall, E., Chai, W., & Albrecht, J. A. (2015, September 17). Full article: A Qualitative Phenomenological Exploration of Teachers’ Experience With Nutrition Education. Retrieved from https://www.tandfonline.com/doi/full/10.1080/19325037.2016.1157532

Ishitani, L. (2017, December). (PDF) Ethnography and Phenomenology applied to game research: a systematic literature review. Retrieved from https://www.researchgate.net/publication/326066063_Ethnography_and_Phenomenology_applied_to_game_research_a_systematic_literature_review

Wolff, B. (2018). Collecting and Analyzing Qualitative Data | Epidemic Intelligence Service | CDC. Retrieved from https://www.cdc.gov/eis/field-epi-manual/chapters/Qualitative-Data.html