Managing and Sharing Qualitative Data (QMMR E)

Session Submission Type: Short Course Half Day

Session Description

Research data management entails developing a data management plan and handling research materials systematically throughout the research lifecycle. Effectively managing data makes research more robust, allows data to be useful over a longer period of time, and facilitates sharing data with the broader research community. This short course equips participants with a range of strategies for effectively managing qualitative data. Hands-on exercises allow participants to practice basic data management tasks in the context of their own projects. The short course particularly emphasizes writing data management and sharing plans (DMSPs), as required by the National Science Foundation (NSF) and other funders and organizations, for research involving qualitative data. This is of particular relevance this year, as new policies for sharing data and materials from NSF-funded research will go into effect in January 2025. We also consider the benefits and challenges of sharing data and demonstrate appropriate techniques for mitigating them, again with the help of exercises and tools that participants will be able to use with their own research. Finally, the short course briefly introduces and briefly discusses new techniques for making qualitative research more transparent, including developing interview methods appendices and tables, documenting analysis performed in qualitative data analysis (CAQDAS) software, and employing Annotation for Transparent Inquiry (ATI).

Sub Unit

• Pre-Conference Short Courses

Chair

• Sebastian Karcher Syracuse University