Week 8 Instructor Q&A
Channel: ABCD-ReproNim Course
Date: 2021-01-26

Week 8 Instructor Q&A Webinar
Friday, January 22, 2021
Panelists: Drs. Raul Gonzalez, Adina Wagner, Angela Laird, David Kennedy, Jessica Bartley, and ABCD-ReproNim Teaching Assistant Dr. Adam Richie-Halford
Questions and answers asked during the Webinar can be accessed here: https://docs.google.com/document/d/17TKLPPND3gOVXmMS67RjA-mQUVziWEncfc4ms2A7Ovs/edit?usp=sharing

Contents:
0:00 - Introductions

2:00 - JEDI Council

8:45 - Lead TA and Announcements

12:25 - I’m curious as to how the ABCD study defines “culture” (finding a narrow but encompassing enough definition doesn’t seem trivial). Is it mostly measured by language spoken and heritage nationality?

16:10 - Were there any measures that you could not include that you wish you had time for? Do you still have only 10 minutes to administer these questions at later years?

20:48 - How is DataLad typically used in practice? Is it best practice to start tracking the dataset during acquisition? Would you recommend tracking all dataset files (including raw, like DICOM) with Datalad, or should we track from the raw bids tree?

24:41 - How should I pitch DataLad to my non-technical PI for use on our datasets?

27:35 - You mentioned that you are collecting measures of discrimination. Can you talk a little about what those items are and how discrimination is measured?

31:20 - The FIU site demographic breakdown seems quite different from the breakdown across all ABCD sites put together. It makes me wonder if there will be some unintended cultural aspects represented in the data that are very site specific. For example, if the proportion of, say, Hispanic youth across the full ABCD study will be more strongly representative of the experience of Hispanic youth in the Miami-Dade area specifically, thereby biasing out the experiences of Hispanic youth from other regions (e.g., along the Mexican/American border).

34:55 - Were measures like the “Mexican-American culture value scale” administered to everyone or just caregivers that indicated they had a Mexican American cultural background? Likewise for the “Native American acculturation scale” and so on. Is there a list of which measures were given to all youth/caregivers and which were given to subsets of participants?

37:15 - Suppose I already have a preprocessed dataset that I would like to "convert" to a DataLad dataset, after the fact. And it would be computationally expensive to recreate the dataset using DataLad commands. What's the best way to convert this dataset to DataLad and capture the data provenance without rerunning all of my computationally expensive analysis?

40:32 - If I adopt DataLad for my local use, I then have to be careful about how I handle my files that are under DataLad control, and can not just handle them in the ways that I’m typically used to  (remove, copy, open, get disk space usage, etc), yes? Can you say a little more about the potentially dual mindset one might have to have to handle DataLad data versus non DataLad (i.e. ‘regular’) data? What if i have a local repository for my data but have to do some data processing steps outside of it?

46:32 - Are there any measures of discriminatory/prejudiced beliefs of participants?