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.

Course Dates

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.

Course Topics

This course will cover a number of topics relevant to using Big Data in research. For additional details, please see the agenda.

Course Objectives

  • 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):

Directions from Main Entrance (Hatfield Clinical Research Center) – North Entrance
From the North Lobby of the Hartfield Center, go down the right corridor past the Gift Shop. Proceed through the glass double doors into the Magnuson Clinical Center. Turn left after passing through the double doors, then a quick right toward the Masur Auditorium. Look for a bookstore/coffee shop on your left and a sign from the ceiling that says ‘FAES Academic Center’. Take a left down the hallway, through the double-doors, then take the steps down to the lower level.
Directions from (Magnuson Clinical Center) – South Lobby
From the South Lobby of the Magnuson Clinical Center, go down the right corridor. Turn left at the end and take a right through the metal doors. Look for a bookstore/coffee shop on your right and a sign from the ceiling that says ‘FAES Academic Center’. Take a right down the hallway, through the double-doors, then take the steps down to the lower level.
Access via stairs:
From the Masur Auditorium, go north, past the Main Elevators. Look for a bookstore/coffee shop on your right and a sign from the ceiling saying “FAES Academic Center.” Take a right down the hallway, through the double-door; then take the steps down to the lower level. Rooms 1-4 are on your right.
Wheelchair Access via Main elevator:
Take the Main Elevators outside Masur to the B1 level. Follow the “FAES Academic Center” signs down the hallway towards the Post Office. Across from the Post Office, enter the FAES Academic Center on the left. Once inside the FAES academic Center, Rooms 1-4 are on your left.


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

Register Here


The NINR offers the following links to resources in the Bethesda NIH campus area to help participants plan their stay.

NIH Housing List

Area Hotels

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

Bethesda Dining

Other Housing Lists
(phone contact 202-885-3370 or email

Contact Information

For questions on the NINR Big Data Methodologies Boot Camp, please contact:

Dr. Mary Engler
Training Director
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
Phone: 301-594-0081

Posted Date: December 4, 2012Updated Date: July 14, 2014