- Let’s unpack the black box of qualitative analysis!

2019.06.06 | Anne-Mette Pedersen

Collaborative qualitative data sessions @ the IMC, 1483-312

Second Thursday of the month. Time: 13-15.

A growing group of IMC researchers does ethnographic and other qualitative research. With Open your data, we wish to open up a shared analytical space where we discuss our data problems and collaboratively support analytical processes in the individual projects. Hence, this new IMC initiative establishes a qualitative data group that will meet monthly to work on data problems and foster curious reflection between IMC affiliated research projects.

Each month will feature one researcher to present a data problem and a piece of data for the group to analyze. Only the presenting researcher will need to prepare – everyone else just shows up on time, curious and ready to share their reflections and discuss ideas for the analysis.

Outline for the meetings:

13:00 - 13:05   Welcome (& very short intro to OYD) | Mette or Ella

13:05 - 13:40   ‘Here’s my data problem’ | Data owner of the day

• Data owner presents their data problem (short contextualization and presentation of analytical strategy). 10 mins
• Data owner presents their data in an accessible format. 15 mins
• Group asks clarifying questions. 10 mins

13:40 - 14:20   Reflection: See, think, wonder… | collectively

• Individual reflection. 10 mins.
• Group reflection: Group unpacks the data problem from their individual methodological perspectives. 30 mins
  You can (but are not obliged to) provide feedback using phrases like: ‘In the data, I see…. This makes me think….. And it makes me wonder…..’
  The data owner is not allowed to respond.

14:20 - 15:00 Discussion: Considerations and suggestions | collectively

• Individual reflection. 10 mins
• Group discussion: Around the table. Everybody provides feedback for the data owner. 30 mins
• You can (but you don’t have to) use the phrases: ‘If I was you, I would consider…’ or ‘In the data, …. is remarkable to me’.
  The data owner is allowed to respond at the end.

 

OYD is an opportunity to get interdisciplinary perspectives on your data and to
learn how your colleagues understand your approach and your analysis.

We welcome curious comments, qualifying questions, and divergent discussion!

 

Questions or comments on the format, get in touch with Ella (elp@cas.au.dk) or Mette (hoybye@clin.au.dk)

 

 

Contact:

Ella Paldam and Mette Terp Høybye