Difference between revisions of "SOCR News ICPSR PIBS 2019"
(→Abstract) |
|||
Line 14: | Line 14: | ||
==Abstract== | ==Abstract== | ||
− | ... | + | This talk will present the pillars of and rationale for Open-Science. We will discuss the important characteristics of Big Biomedical Data and challenges with sharing sensitive information. At the end, we will review some case-studies illustrating applications to neurodegenerative disorders, autism research, and population census-like neuroscience discovery. More information, slides, code, datasets, publications, learning modules, and instructional materials are available on the website of the Statistics Online Computational Resource. |
== SOCR Resources== | == SOCR Resources== |
Revision as of 10:34, 24 April 2019
Contents
SOCR News & Events: Open Science and Data Sharing
Logistics
- ISR/ICPSR 2019: Summer Program in Quantitative Methods of Social Research
- PIBS Workshop: Program in Biomedical Sciences (PIBS) and Bioinformatics Workshop
- Date/Times: Thursday, May 09, 2019, 11 AM.
- Place/Time: Perry Hall, UMich, Ann Arbor, MI.
- Organizers: Amy Pienta, Libby Hemphill, Jared Lyle, Maureen Sartor, Peter Freddolino, Christina Mitrea, Armand Bankhead
Title
Open Science and Data Sharing
Abstract
This talk will present the pillars of and rationale for Open-Science. We will discuss the important characteristics of Big Biomedical Data and challenges with sharing sensitive information. At the end, we will review some case-studies illustrating applications to neurodegenerative disorders, autism research, and population census-like neuroscience discovery. More information, slides, code, datasets, publications, learning modules, and instructional materials are available on the website of the Statistics Online Computational Resource.
SOCR Resources
- SOCR News & Events
- SOCR Global Users
- SOCR Navigators
- SOCR Datasets and Challenging Case-studies
- Electronic Textbooks:
SOCR Demos
- General SOCR Webapps
- SOCR BrainViewer
- Hands-on interactive visualization of extremely high-dimensional data (learning module and webapp)
References
- SOCR is sponsored in part by NIH Grants P30 DK089503, P20 NR015331, U54 EB020406, P50 NS091856, P30AG053760, as well as, NSF Grants 1734853 and 1636840.
- SOCR Home page: http://www.socr.umich.edu
Translate this page: