Qualitative data has been described as voluminous and sometimes overwhelming to the researcher. Discuss two strategies that would help a researcher manage and organize the data.

Certainly, data management and organization remain crucial when handling large volumes of qualitative data that can pose implicit challenges to researchers. The organization of qualitative data is quite important because it assists the researchers in conducting an organized and managed data analysis for easy retrieval. Moreover, organized and managed data decreases confusion for the researchers and facilitates them to collect more information as possible. Moreover, with the advancement in technology, there are several strategies that can be applied in managing and organizing qualitative data.

Firstly, building an integrated qualitative database is a useful strategy to manage and organize qualitative data. An example of the database is FileMaker pro. With this database, a researcher can copy data from transcripts and paste it into a field in a relational database. Besides, the relational database can systematically connect a field note or data with the subject identification number, the researcher’s name who produced the data, and the expenses incurred. Notably, with the integrated qualitative database, the management and organization of data are pretty straightforward. The database manages data on network drive hence enabling other people to manipulate such data at the exact moment. Furthermore, with the usage of an integrated qualitative database, the data is organized such that each question in an interview protocol consists of a location or field where the answer of a subject is automatically stored. Truly the database has the capability to illustrate the name of codes, as well as the number of the subjects interviewed in a row, and each answer to each question, are organized with respect to the respondent. In addition, the database provided the means where a researcher can identify missing data and blank cells. Besides, in the database, follow-up protocols and interviews with the same subjects can be organized in the same way as the baseline protocol for easy management of their similar data (Johnson et al., 2010). Certainly, the database provides means for organizing focus groups based on the asked questions. Indeed, the database will have mountains of words, but the structured data organization enables a researcher to manage the information for analysis effectively.

Indeed, the researchers can record interviews with digital voice recorders. Due to the advancement of technology, multiple digital voice recorders can use a very minute disk for the storage of information, and the disk is not quite expensive. Therefore, for research to manage and organize data, they can use digital voice recorders integrated with a storage disk for each subject interviewed. The storage disk can be systematically named the names of the corresponding subjects where research was obtaining information. Notably, the digital voice recorder offers significantly superior sound quality accuracy and recording accuracy. With digital voice recorders, a researcher can distinguish different voices from a variety of subjects if the information is mixed up. However, the digital voice recorders store the data in regards to the time it was captured and the size of the recorded information. This will enable the researcher to organize the information based on the time it was recorded. Also, in case a researcher uses the same disk to collect data from a variety of subjects, digital voice recorders start another recording after the other has been stopped instead of progressive. Therefore, the recorders provided a means for sorting data in an organized form for easy managing.

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