Managing and Sharing Qualitative Data and Qualitative Research Transparency (QMMR3)
Diana Kapiszewski, Colin Elman, and Sebastian Karcher
Qualitative and Multi-Method Research Section, APSA Organized Section 37
9:00 am – 1:00 pm
This short course has two central goals:
- The course provides guidance that will help researchers manage data through the research lifecycle. Effective data management, including documentation, both improves a scholar’s own research and facilitates the sharing of data. Shared data can be used to evaluate scholarly products, analyzed to achieve other research ends, and employed in teaching. Data sharing also facilitates citation and collaboration. We also address various challenges to sharing research data (including copyright and human subjects-related concerns).
- We discuss ways to achieve analytic transparency in qualitative research. Analytic transparency facilitates the effective interpretation and evaluation of scholarly products, and is achieved by clearly demonstrating how data and analysis support the empirical claims and conclusions in published work. More specifically, analytic transparency requires scholars to identify the inferential structures invoked in their research design, and demonstrate how their data support the inferences in their written work in a manner appropriate to that design. We also introduce participants to ways to achieve analytic transparency in qualitative research, paying particular attention to work that uses narrative causal approaches supported by granular data.
**All Short Courses will take place on Wednesday, August 31 at the APSA 2016 Annual Meeting in Philadelphia, PA.