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Introduction to Data Management Series (Affiliate Jacqueline Meijer-Irons facilitates final workshop on 5/4/2018)

Posted: 3/30/2018 (CSDE Workshop)

This Spring, Global WACh and the Center for Studies of Demography and Ecology (CSDE) present a four-part skills series:  Introduction to Data Management. This series is designed to help students who aspire to do research develop skills with methodologies, platforms, and data sets commonly used by research teams at the University of Washington and beyond.

Affiliate Jacqueline Meijer-Irons, a Demographic Research Scientist, will be the CSDE facilitator for the final workshop, Intro to Analyzing Demographic and Health Surveys.

In this Series, students will be introduced to a framework for data management and several tools and analysis techniques often used to answer research questions.  The series is suited to masters and PhD-level students at the University of Washington with some exposure to health research in a local or global context. Faculty members are welcome to refer their research assistants or other members of their team who will benefit from any or all workshops. Join us for:

INTRO TO DATA MANAGEMENT

Brandon Guthrie, PhD, MPH
April 6th 2018, 2:00-4:00PM
Health Sciences T-360A
Register Here: https://goo.gl/forms/Vle0ttWedePOFHtA3

OPEN DATA KIT

Keshet Ronen, PhD
April 13th 2018, 9:00AM-12:00PM
Health Sciences T-360A
Register Here: https://goo.gl/forms/lYcLPMzWODHu0Q172

REDCap

Brandon Guthrie, PhD, MPH
April 27th 2018, 9:00AM-12:00PM
Health Sciences T-360A
Register Here: https://goo.gl/forms/FYUGY10UojgNL2jd2

ANALYZING DHS DATA

Jacqueline Meijer-Irons, PhD
May 7th, 2018, 9:00AM-12:00PM
Savery Hall 117
Register Here: https://goo.gl/forms/k8XNx0SfancZ9SfH2 (For CSDE-affiliates)

Participants are welcome to, but are not required, to register for all four workshops. Plan to bring their own laptops for all workshops except for Part 4: DHS Data Program, which will be held in a computer lab on campus.  Space is limited for each workshop so please register early!

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