Managing and Sharing Qualitative Data (QMMR 3)

Session Submission Type: Pre-conference Short Course Half Day

Session Description

Instructor: Sebastian Karcher, Syracuse University

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 plans (DMPs), as required by the National Science Foundation (NSF), for research involving qualitative and multi-method data. 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 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

• APSA Panels and All Meetings and Receptions

Chair

• Colin Elman Syracuse University

Presenter

• Sebastian Karcher Syracuse University