Half Day AM (9:00 a.m. – 1:00 p.m.)
This short course has three central goals. First, the course provides guidance to help scholars manage data through the research lifecycle. We show how participants can meet funders’ data-management requirements and improve their own research by creating a data management plan. We discuss strategies for effectively documenting data throughout the research process to enhance their value to those who generated them and to other scholars. We also provide practical advice on keeping data secure to protect against data loss as well as illicit access to sensitive data. Second, we consider the multiple benefits of sharing data, the various uses of shared data (e.g. for evaluating scholarly products, for secondary analysis, and for pedagogical purposes), the challenges involved in sharing qualitative research data (including copyright and human participants-related concerns), and various ways to address those challenges. Finally, we discuss transparency in qualitative research. Production transparency and analytic transparency facilitates the effective interpretation and evaluation of scholarly products. Production transparency is achieved by clearly describing how the information that underpins a study was collected and how data were generated from that information. Analytic transparency is achieved by clearly demonstrating how data and analysis support the empirical claims and inferences in published work in a manner appropriate to that work’s research design. We also introduce participants to ways to achieve production and analytic transparency in qualitative research, paying particular attention to work that uses narrative causal approaches supported by individual data sources.
**All Short Courses will take place on Wednesday, August 30 at the APSA 2017 Annual Meeting in San Francisco, CA.**