Wondering what to share at the end of your qualitative data project? Effective sharing goes beyond archiving; it must preserve the contextual value of the data for future use. Here’s a checklist of critical data files and supporting documents, along with file organization tips and repository options.
Qualitative Data
Qualitative coding is the systematic process of categorizing and segmenting textual or visual content into meaningful analytical units to identify patterns and themes within the data. This handout compares deductive and inductive approaches to qualitative coding and highlights campus-licensed and supported tools to aid in this process.
De-identifying text with human participant data is challenging due to its unstructured and sensitive nature, requiring careful measures for safe and ethical sharing. Here are eight essential steps to minimize re-identification risks while preserving reusability.
Qualitative data is inherently nuanced and deeply contextual. While it offers rich interpretive possibilities, its analysis and presentation often demand considerable resources. Moreover, due to its sensitivity, managing qualitative research data obtained from human subjects—such as interviews and observations— poses distinct ethical challenges. This handout delineates key considerations, practical tips, and available resources for effectively handling this data type across its lifecycle.