Tag Archives: quantitative research

The Productive Scholar: Best Practices for Data Management

Topic: Best Practices for Data Management480885099 copy
Speaker: Willow Dressel (Plasma Physics and E-Science Librarian)

Time: Thursday, October 16, 12:00pm – 1:00pm
Location: New Media Center (NMC), 130 Lewis Library, First Floor

• Slides from Willow Dressel’s presentation: RDMProductiveScholar-10-2014
• Entertaining NYU Health Sciences Library video on the perils of poor data management. Shown by Willow Dressel during her presentation.

More and more digital data are being created and used in the course of research, yet often little thought is given to managing this data for collaboration, future use, or preservation. In addition, many funders require data management plans be submitted with grant applications, and both funders and journals are calling for shared or publicly accessible data. Following best practices can help you be prepared for these requirements.

Willow Dressel is the E-Science and Plasma Physics Librarian and has been providing reference, instruction, and outreach services for Princeton University Libraries for over five years. She is currently developing research data management library services for the sciences. Willow holds a Bachelor of Science in Physics and Astronomy, and a Master of Library and Information Science from the University of Washington.

Statistical Programming with R Workshop Series (Two Sessions!)

R is the de facto standard for statistical analysis in a wide range of disciplines such as 450985571v3computational biology, finance, sociology, political science and digital humanities. This two-part workshop will help participants to get started with R’s abilities, ranging from data structure to visualization. Designed for students without any programming experience, this course will better prepare you for introductory statistics courses and quantitative research at Princeton.

Part 1: Introductory Workshop in Statistical Computing with R
In the first session, you will become familiar with the R programming environment and learn how to work with variables, vectors and data frames. You’ll learn how to import data from a file, to filter it, and to extract summary statistics. You’ll then learn how to use the powerful ggplot2 package to visualize your data, including scatter plots, histograms and boxplots.

Part 2: Intermediate Workshop in Statistical Computing with R
In the second session, you’ll be introduced to R’s tools for statistics and exploratory data analysis. You’ll learn to use R’s built-in statistical functions to test hypotheses about your data, including computing correlations, comparing two samples, and performing linear regressions. You’ll then learn further methods of manipulating and summarizing data using the dplyr package, and learn the basics of exploratory data analyses.

PLEASE NOTE: The best way to learn R is to attend both sessions. The second session will assume students are familiar with both R data structures and the ggplot2 package. To meet the goals of each session, and out of respect for those who enrolled in both, the Instructor will not be able to review material for students not present for Part 1. If you absolutely must miss the first session, reviewing the material in Lessons 1 and 2 of the online course, and passing the corresponding interactive quizzes, would help acquire the necessary basis for Part 2.

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The Productive Scholar: Turning Freshmen into Scientists: Hardware, Software, and Hands-on Technology in the Field

Topic: Turning Freshmen into Scientists: Hardware, Software, and Hands-on Technology in the FieldPS-FroshScientists-image2-web
Speakers: Adam Maloof and Frederik J. Simons

Time: Thursday, April 24, 4:30pm – 5:30pm (SPECIAL TIME!)
Location: HRC Classroom, 012 East Pyne, Lower Level

Refreshments will be provided. To register for this session: http://bit.ly/Frosh-Sci
(Registration is not required for attendance, however refreshments may be limited.)

For six years FRS 145/149/171/187 has taught students to define a hypothesis, collect data to test that hypothesis, analyze their data using quantitative techniques, and present their work in the form of scientific prose and figures.  Technology plays a central role in this mission, in the form of field instrumentation such as radar, magnetometry and GPS to collect data, and software such as Matlab and ArcGIS to analyze and present data. In this session Professors Adam Maloof and Frederick Simons will detail the lessons from their six year journey developing and refining their curriculum for turning Freshmen into scientists.

Adam Maloof is an Associate Professor of Geosciences. He is a field geologist who studies the rock record of the coevolution of animals and climate.

Frederik J. Simons is an Associate Professor of Geosciences. He is a geophysicist who specializes in the analysis of data from seismological networks and satellite gravity missions to study the structure and evolution of the Earth’s continents and their ice cover.

The Productive Scholar: Overview of Q-APS: Social Science Research Support for Scholars

Download the slides from this presentation: QAPS-Olmsted-slidesS2014

Topic: Overview of Q-APS (Program for Quantitative and Analytical Political Science): Social Science Research Support for Scholarsviews
Speaker: Jonathan Olmsted

Time: Thursday, April 17, 12:00pm – 1:00pm
Location: HRCC, 012 East Pyne, Lower Level




The Program for Quantitative and Analytical Political Science (Q-APS) offers training, consulting, and resources in support of social science and beyond. In this presentation, Jonathan Olmsted will outline and discuss examples of the ways Q-APS supports social science research at Princeton University for Princeton affiliates of all levels. The goal of this talk is to introduce these forms of support to a broader audience within the university.

SESSION RECAP: Jonathan provided a detailed overview of the various resources of Q-APS that are available to members of the campus. Though the focus of the presentation was on the social scientists Q-APS also works with humanists and those who, regardless of discipline, want to explore applying quantitative analysis to their research. Jonathan’s review included past and current examples of Q-APS’ support offerings including teaching…[more after the jump]

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The Productive Scholar: Introduction to the Institutional Review Board (IRB) and Successful Review Processes

Topic: Introduction to the Institutional Review Board (IRB) and Successful Review Processes
Speakers: Andrea Ferguson-Dadas and Gloria Gaines164455698(1)

Time: Thursday, March 13, 12:00 pm – 1:00 pm
Location: HRC Classroom, 012 East Pyne, Lower Level

Lunch will be provided. To register for this session: http://bit.ly/IRB-RIA
(Registration is not required for attendance, however refreshments may be limited.)

An Institutional Review Board is responsible for the protection of the rights, privacy and welfare of all participants in human subjects research. Guided by federal regulatory requirements, the IRB has the authority to review, approve, modify or disapprove research protocols submitted by Princeton faculty, staff and student investigators. This session will introduce key ethical principles, critical elements of IRB review, components of the IRB operations and review processes, as well as tips for successful IRB application.

Gloria Gaines, Compliance Administrator (RIA), serves as a resource to faculty, staff, and students providing guidance on regulatory/compliance matters, facilitating the research compliance program in accordance with federally mandated regulations and Princeton University’s policies.

Andrea Ferguson-Dadas is Assistant Director of Research Integrity and Assurance. She oversees the Institutional Review Board and for over 23 years has conducted research at the Centers for Disease Control, Columbia University, Yale University School of Medicine, Vanderbilt University, and elsewhere. She has also administered over nine University Institutional Review Boards, education programs; Quality Improvement programs; and information technology support programs for the Human Research Protection Program enterprise at Rutgers (UMDNJ) University. Andrea holds degrees in Social Sciences and Bioethics.

In keeping with Research Integrity Assurance guidelines for external educational presentations, this Productive Scholar presentation was not documented. However, if  you would like to attend education sessions offered by the Human Research Protections Education Program, or you have questions regarding human subjects research guidelines and regulation and/or the University’s Institutional Review Board, please go to RIA’s Human Research Protections homepage for more details and IRB Staff contact information.