Session description:
With the advancement of multi-omics and non-omics technologies, there is an urgent need for the kidney research community to be aware of these resources and learn to leverage these datasets to support kidney research systemically. This session will review big data and open resources in the kidney field and showcase how they can contribute to your research.
Learning objectives:
Discuss the major accessible big data open science resources that can support kidney science and medicine; Showcase how to use open science to generate and test the hypothesis.
| Time | Session |
|---|---|
|
11:00
11:30
|
Federated Databases Bring Your Analyses to the Data; Experiences from BEAt-DKD and Beyond
|
|
11:30
12:00
|
Kidney Tissue Level Multiscalar Data Mining in CKD and AKI: Insights and Tools from KPMP
Jonathan Himmelfarb
Speaker
jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States
|
|
12:00
12:30
|
How Big Data Can Help Your Kidney Research; Only a Mouse Click Away
|
|
12:30
13:00
|
Q and A
|