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Transparent Data Research Series

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Transparency in Qualitative Research (reschedule date to be announced shortly)

Dr. Sebastian Karcher

Research transparency is quickly emerging as a norm for empirical research: shared data and analysis code are increasingly expected by funders, journals, and fellow researchers. However, practical, ethical, and epistemic concerns have limited the progress of transparency in qualitative research. Dr. Sebastian Karcher argues that qualitative researchers can benefit from making their work more transparent and will present practical approaches to research transparency in qualitative research from the social sciences and beyond.

Keynote : Transparency in Qualitative Research? - 9 a.m. to 10 a.m. (Free)

Dr. Karcher will present the reasoning behind the importance of transparency in qualitative research by presenting the benefits to be gained by being transparent.

Workshop - 11 a.m. to 4:00 p.m

We will explore transparency in qualitative research throughout the lifecycle of a research project, starting with planning and collecting data, preparing different forms of qualitative data for sharing, and different forms of supplementary information and data to accompany published qualitative research. Throughout the workshop, we will engage in interactive exercises that either let participants apply strategies to their own research or explore critically how other researchers have used them.

Workshop charge: Mac students - $30, Faculty/staff at Mac -$45, Others - $60. Scholarships available.


Register now

Upcoming Events

April 17, 2020: Data Sharing as Knowledge Mobilization

Frederick Solt

Join us as Professor Solt teaches participants how to build and interactive data dashboard using the web application Shiny. 



Dr. Solt will overview the The Standardized World Income Inequality Database (SWIID) case. This overview of the SWIID, a research database of income inequality indicators cited in new research nearly 700 times (Solt 2016), will emphasize the importance of creating a new database is an important type of research and how organizations and researchers can recognize and benefit from the creation of such public goods.


This hands-on workshop will teach participants how to create public-facing web applications using Shiny (and R) to display their research data with interactive features that allow other researchers, students, or policy makers to engage with datasets online.