Open coding is the initial step in qualitative data analysis where researchers break down data into discrete parts to identify and label concepts, themes, or patterns. This process allows for a detailed examination of the data, facilitating the emergence of new ideas and categories, which can then be used for further analysis. It serves as a foundational practice in various qualitative methodologies, enabling a more nuanced understanding of complex data sets.
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