It seems a rarity, but I have two really interesting sites open in my browser talking about qualitative data in the relatively current environment. The first, Pandemic Journaling Project Archive Opens for Research, is notable because it fills a big gap. As the article notes,
“There are several large quantitative surveys in the social sciences that are broadly used,” says Karcher, “but qualitative datasets that are large enough to be analyzed from so many different angles are very, very rare. The PJP data are going to be a treasure for social scientists for years to come, and we at QDR couldn’t be more excited to be the permanent home for them.”
That does remind me of another tab I have open that I wanted to explore - A listing of qualitative data results from the lunaris data repository here in Canada...
The second is timely in that it talks about the problems of using AI to try to perform qualitative data analysis. How not to: We failed at analyzing public discourse on AI with ChatGPT. A couple of weeks ago, I was able to help a researcher successfully use NVivo's automatic coding using existing coding patterns feature, and wonder if it would've helped in this case.
Related to the above, I know folks are exploring the use of ChatGPT and other AI tools to assist with qualitative data analysis, but I sure haven't yet seen anything that makes me think we're very close yet. And that leaves aside the questions around confidentiality in letting any online tool churn through qualitative data. Though I do still have to delve more deeply into CoLoop and Qeludra.