Week 9

Mar 07 2022    
Week 9: Drs. Kristina Uban and our own Satra Ghosh talk about ABCD biospecimen measures and ReproNim concepts about reproducible workflows and analyses.
Help and Resources: If you have questions about this week's material please post them to the ABCD-ReproNim Neurostars or the ABCD-ReproNim Slack.
Week 9 Assignments:


Week 9 Data Exercise: This week we ask that students complete a Data Exercise that asks questions about ABCD biospecimen measures and well reproducible workflows and analyses. Please complete the Week 9 Data Exercise after viewing the Week 9 videos. Solutions for this week’s data exercise can be found on our GitHub

ABCD Data Access Confirmation: In order to access ABCD Study data you will need to obtain a Data Use Certification (DUC) from the NDA. We provide instructions on how to obtain ABCD data access to help with this process. Once you have an approved DUC please complete our ABCD Data Access Confirmation. Note that you do not need to have ABCD data access in order to take this course. This assignment is optional and does not count towards completion of the course. However, students who do not successfully complete this assignment will not be allowed to participate in Project Month.

ABCD-ReproNim JupyterHub Access Request: ABCD-ReproNim students with active DUCs can access to the new ABCD-ReproNim JupyterHub, a cloud-based scientific computing platform that is fully accessible through an internet browser (see this link for details about the JupyterHub project!) This document introduces the ABCD-ReproNim JupyterHub, how to access it, and outlines some basic usage rules. Students can use the Hub to work on Data Exercises and perform ABCD data analysis projects during the course. ABCD-ReproNim staff will grant access to students with active DUCs who submit an Access Request. Students without an active NDA Data Use Certification are invited to follow the instructions here where they can access the same computational environment locally via Docker.

AI/ML Course: If you are taking the parallel AI/ML Course you can view the videos for Week 2 here. If you would like to take the AI/ML Course then please make sure to register so we can add you to our AI/ML Course email list. Please note: we recommend that students first complete the main 12-week Course before beginning the 5-week AI/ML Course.

Instructor Question and Answer Webcast Recording

Recorded in 2020. Note that course-related announcement made during this recording may be out of date. Please see the top of this page for 2022 Course announcements.

Week 9 Q&A Doc: Click here for written answers to the Q&A Doc.

Important Links and Platforms: