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Open coding is a qualitative data analysis method used to identify and categorize concepts within the data by breaking down information into discrete parts. It serves as the initial step in coding qualitative data, allowing researchers to label themes, patterns, and ideas that emerge from data such as interviews and focus groups. This process is essential for developing a deeper understanding of participants' perspectives and for laying the groundwork for further analysis in methodologies like grounded theory.
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