Big Data Opportunities Using NIH/NIMH Data Repositories

The NIH established the National Database for Autism Research (NDAR) in 2008. Since then, de-identified human subjects research data on 77,000 research participants across hundreds of cognitive, diagnostic and clinical measures are now shared. Secured in the Amazon cloud, large datasets from over 8,000 exome sequences, 2,000 structural images exists (see NDAR Query) and event based fMRI, EEG, and eye tracking experiments make NDAR one of the largest data repositories in the neurosciences. Recently, the NIMH Research Domain Criteria (RDoC) and Clinical Trials (NDCT) initiatives have adopted the same data sharing platform. Together, these platforms provide new and emerging opportunities that previously could not have been considered. This symposium will help educate the neuroscience community on the best practices used to drive scientific discovery using these resources. Further, NIH program officers will present on how such big data scientific efforts are now being funded.

 

It should also be noted that this workshop is currently nearing maximum capacity, but a few slots remain. Your sign-up maybe tentative, stored on a wait-list, pending the final closing of registration. You will be notified as soon as possible regarding the outcome of your registration.

 

When and Where:
Thursday, November 13, 2014, 9:30AM - 4:00PM
Carlyle Crescent, Alexandria, VA, 1940 Duke St., 2nd Floor
 
Draft Agenda:
 

9:00 – 9:30                            Registration

 

9:30 – 10 am                         An Introduction to the NIMH Data Repositories (Dan Hall)

 

10:00 – 10:30                       Science in the Cloud – A 21st Century Vision (Dan Hall)

 

Break

 

10:50 – 11:30 am                 Data sharing and Big Data funding Opportunities (Ann Wagner)

 

11:30 – 12:15                       miNDAR and Study – Foundations of Data Exploration and Repeatable Workflows in the Cloud                                                                      (Brian Koser)

 

 

Lunch                                    (Sponsored by OMNITEC Solutions, Inc.)

 

1:00 – 1:45                            Demonstration of Omics Query and Computation in the Cloud

                                                (David Obenshain)

 

1:45 – 2:00                            Demonstration of Imaging Pipelines Deployed in the Cloud

                                                 (Christian Haselgrove and Cameron Craddock)

 

Break

 

2:20 – 2:40                             Discussion: NIMH Data Repository Futures circa 2016

 

 

2:40 – 3:30                            Open Forum: Big Data Needs Supporting the 21st Century Vision for Science

 
To reserve your seat for Big Data Opportunities Using NIH/NIMH Data Repositories, provide the information below. Important updates will be sent as the day of the event approaches. A current institutional email and phone number are required.
 
Do you currently have access to NDAR, NDCT, RDoCdb, or PediatricMRI shared data? (Access to data shared in the NIMH data repositories is highly encouraged) *

We store only the following information when you visit this page: the domain name from which you access the Internet, the date and time you access our site, and the Internet address of the web site from which you direct-linked to this form. This information is used to measure the number of visitors to the various sections of our site and to help us make our site more useful to visitors. Unless it is specifically stated otherwise, no additional information will be collected about you. We may also use cookies only for internal tracking and for providing a better customer experience. No data we collect is shared with any other parties.

You will be sending us personal information (e.g., name, address, e-mail address), subject to an official Freedom of Information Act request. We may store your name and email address in order to respond to your registration or to otherwise resolve your submission of this form. Unless otherwise required by statute, we do not identify publicly who sends questions or comments to our web site.

Powered byFormsiteReport abuse
National Institutes of Health LogoDepartment of Health and Human Services Logo