NINR 2014 Boot Camp
Registration Closed--Check Back Jan. 2015
for NINR's Next Boot Camp
The NINR Big Data in Symptoms Research Boot Camp, part of the NINR Symptom Research Methodologies Series, is a one-week intensive research training course at the National Institutes of Health (NIH) in Bethesda, Maryland. Sponsored by the National Institute of Nursing Research (NINR), the course is administered by the Foundation for Advanced Education in the Sciences (FAES) as one of the Bio-Trac programs.
NINR's 2014 Boot Camp will provide a foundation in methodologies for using Big Data in research. The purpose of the course is to increase the research capability of graduate students and faculty. The course will feature lectures by distinguished guest speakers, classroom discussion, and hands-on training with real-world Big Data.
The course is provided by the NINR at no cost. Attendees are required to pay for housing, food, and transportation expenses incurred during program participation.
The Big Data Boot Camp will be held Monday, July 21, to Friday, July 25, 2014. Classes will begin daily at 8:30 am and adjourn at or before 5:30 pm.
This course will cover a number of topics relevant to using Big Data in research. For additional details, please see the agenda.
- Increase knowledge in Big Data methodologies for use in research
- Discuss strategies for incorporating novel methods into research proposals
Who Should Attend?
Graduate students, faculty, and clinicians who are citizens or permanent U.S. residents may apply.
Speakers, Faculty, and Staff
The speakers in this course will include nationally and internationally known Big Data experts from various institutions including the NIH and universities across the United States.
Final Agenda (for a full agenda with times, click here)
Monday July 21 - Introduction & Foundation to the Era of Big Data
- Meet & Greet--All Participants
- Opener, Introductions--Christina Farias, FAES Executive Director
- Welcome & Program Overview--Patricia A. Grady, PhD, NIH NINR
- Introduction to "Big Data"--Jay Liebowitz, PhD, Harrisburg University
- Big Data Analytics for Healthcare--Bonnie Westra, PhD, University of Minnesota
- Big Data in Nursing Research--Patricia Brennan, PhD, University of Wisconsin-Madison
- Nursing & Health Informatics: Empowering Research--Connie Delaney, PhD, University of Minnesota
- Principles and Examples of Biomedical Terminologies--James Cimino, MD, National Library of Medicine
- Big Data, Symptom Science, and Health Disparities: The Promise and the Peril--Suzanne Bakken, PhD, Columbia University
Tuesday July 22 - Clinical Practice: Big Data in Symptoms Research
- Research Use of Clinical Data--Clement McDonald, MD, National Library of Medicine
- Integrating Symptom Science with Big Data--Diane Reeves, MSN, NCI Center for Bioinformatics
- Healthcare Analytics and Patient Outcomes--Bonnie Westra, PhD, University of Minnesota
- The Emerging Role of Nurse Informatics--Patricia Abbott, PhD, University of Michigan
- Becoming a Data Scientist--Patty Mabry, PhD, NIH Office of Disease Prevention
Wednesday July 23 - Ethical, Legal, and Regulatory Aspects in Data Use
- Ethics in Healthcare Technology Management--Pablo Molina, PhD, Georgetown University
- Health Databases & Clinical Decision Support--Jean Stanford, MS, Georgetown University
- Management of Technology in Nursing--Beverly Magda, PhD, and Kevin McDonald, MS, Georgetown University
- Regulatory Implications--Jonathan Helfgott, MS, Hopkins University
- Healthcare Analytics Software: Getting Tangible Results--Jean Stanford, moderator, Georgetown University, Peter Mork, PhD, Noblis Biomedical Information Management, and Paul Quigley, RN, Managing Partner, Cornerstone Healthcare Consulting
Thursday July 24 - Data Mining as a Tool for Research & Knowledge Development
- Human Genome and Big Data Challenges--Philip Bourne, PhD, NIH Associate Director for Data Science
- Incidental Findings Related to WGS and Whole Exome Sequencing--Ann Cashion, PhD, NINR
- Genetic Testing Registry--Wendy Rubinstein, PhD, NIH Genetic Testing Registry
- Hands-on Training with Genomics and Clinical Datasets--Medha Bhagwat, PhD, and James Cimino, MD
- Tour of the Clinical Center
Friday July 25 - Bringing It All Together
- Outcomes of Big Data--Sandra Mitchell, PhD
- Boot Camp Summary--Lyn Hardy, PhD
- Presentations and Panel Q&A--Funding Opportunities for Training, Career Development, and Big Data Research:
NINR--Marty Matocha, PhD, David Banks, PhD, Sue Marden, PhD
National Library of Medicine (NLM)--Valerie Florance, PhD
Big Data To Knowledge (BD2K)--Michelle Dunn, PhD
National Cancer Institute (NCI)--Jennifer Couch, PhD
Big Data Boot Camp will be held on the NIH Campus in Bethesda, MD:
July 21-23: Building 10 (The Clinical Center), FAES Academic Center, Room 1
July 24-25: Building 60 (The Cloisters), Lecture Hall
Directions to FAES Academic Center, Building 10 (The Clinical Center):
Registration for Big Data Boot Camp will open on Tuesday, April 1st, 2014, and close on Tuesday, May 27th, 2014, or whenever the course is full. Once you have completed the registration form, you will receive an email confirmation from FAES. The email will contain a link to a ticket. Please print the ticket and bring it with you on the first day of Boot Camp (alternatively, you can add the ticket to Passport by opening the email on your Passport-enabled device).
If you experience any technical difficulties with the registration system, please contact Carline Coote at 301-496-7975 or by email at email@example.com.
The NINR offers the following links to resources in the Bethesda NIH campus area to help participants plan their stay.
NIH Housing List
Bethesda Campus Map
NIH Security Info
NIH Transportation Services (including campus shuttle)
Washington Metro Area Transit Authority (bus and subway)
Ride-On Map (local bus routes)
NIH Moving Guide
For questions on the NINR Big Data Methodologies Boot Camp, please contact:
Dr. Mary Engler
Senior Clinician/Chief Vascular Biology Unit, Tissue Injury Branch
NINR Division of Intramural Research
National Institutes of Health
1 Cloister Court
Room 253, MSC 4733
Bethesda, MD 20892-4733