Massive Open Online Course on Coursera

Reproducible Templates for Analysis and Dissemination

Registration for this new Coursera course begins Monday, January 15, 2018. Session will be repeated every 4 weeks. Next Session will start Monday, February 12.

School of Nursing faculty Melinda Higgins, PhD leads this  five-module course covering topics such as "Introduction to Reproducible Research and Dynamic Documentation,” and "Leveraging Custom  Template From Leading Scientific Journals." There are a number of advantages of reproducible research principles and dynamic documentation workflows. One key goal of reproducible research is to  eliminate manual data manipulations and processing steps which are prone to human error. Another advantage of a dynamic documentation workflow is to connect the data, analysis, visualizations, and   reporting together to not only speed up the time to dissemination but also provide a complete audit-trail of all steps from data collection to final report. Many research funding agencies and scientific journals  are now requiring an audit-trail supporting reproducible research. This course will cover the steps and resources necessary to set up the software and tools (R and RStudio and associated packages)  necessary to build your own templates and utilize existing templates for reproducible data analysis, dynamic documentation, presentation, and dissemination. Each week of the course will address a key  component in the analysis workflow process including: software and system set-up; building templates for creating different types of reports and formats; adding parameters to and modularization of the  report templates making them useful for standardized reporting and batch processing; and finally covering tools for collaboration and dissemination (e.g. cloud-based solutions using Rpubs, Github, and    RStudio connect).

Participants can set their own pace through Higgins’ Each module contains two hours' worth of content, including video lectures, demonstrations, discussion forums, interactive and personalized assignments, practice quizzes, and other educational resources.


Those who wish to secure a certificate of course completion from Coursera can do so for a fee of $49.

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About the Instructor

Melinda Higgins has dual degrees in Chemometrics (PhD) and Statistics (MS) with 25 years experience in research, teaching, consulting, directing and managing projects. Her expertise includes programming/scripting languages (R, S, Pascal, Perl, Prolog) and statistical, mathematical, imaging, and geo-spatial processing software packages (R, SAS, SPSS, MATLAB, SYSTAT, ENVI, ESRI ArcView, IMAGINE). While at Georgia Tech Research Institute (1994-2011), she coordinated large team projects with rigorous timelines, milestone tracking and version control in the areas of remote sensing, geospatial information systems, sensor fusion and target recognition. In her current work at Emory (2007 –), she has 10+ yr expertise mentoring students and faculty in nursing and public health science research and scholarship. Her health research experience includes pattern recognition, phenotype characterizations and longitudinal modeling in heart failure, diabetes, cognitive impairment, and HIV/AIDS chronic disease populations.
The Coursera initiative is a collaboration between the Provost’s Office, through the Center for Faculty Development and Excellence (CFDE), and the Libraries Information and Technology Services’ (LITS) Academic Technology Services (ATS) production team.