Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Panel discussion: Challenges and Opportunities of Big Data and Open Science in the Kidney Field. Hands-on Training: Online Data Mining for Molecular Analysis of Renal Disease

Session description:
Private-sector partners are interested in generating and utilizing big data for kidney research and drug development. It is critical to understand their perspectives on Open Science. This session will feature a panel discussion on challenges and opportunities in applying open science to target identification.

Learning objectives:
Discuss the challenges and opportunities utilizing big data and open science for target identification; Brainstorm how public and private partnerships can join force to contribute to kidney science and medicine.

Hands-on Part:
There has been a major interest in learning how to access and utilize publically available kidney-related multi-omic datasets in the kidney research community. This session will provide in-person and on-line hands-on, step-by-step training for researchers with and, most importantly, without bioinformatic knowledge. Learn how to mine various types of big data, including but not limited to, transcriptomic (bulk, single cell, single nuc RNAseq) data, eQTL, spatial transcriptomic and proteomic data in health and disease.