Category Archives: Educational Technology

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.

The Productive Scholar: OpenScholar: Personal Websites for Scholars

Topic: OpenScholar: Personal Websites for ScholarsOpenScholar-Logo
Speakers: Angel Brady, Ben Johnston

Time: Thursday, October 9, 12:00pm – 1:00pm
Location: New Media Center (NMC), 130 Lewis Library, First Floor

Slides from this session are available here:

OpenScholar is a website building and content management tool available to faculty and graduate students for hosting professional profile sites. OpenScholar sites can contain biographies, CVs, course lists, publications, blog entries, and event listings. An owner of a site does not need to know code or web development tools to edit and use the site. A user only needs to a web browser to edit the site. OpenScholar is hosted by Web Development Services in Princeton’s Office of Information Technology.

To check out OpenScholar, and set up your account prior to the workshop, visit Princeton’s OpenScholar webpage.

Angel Brady is an Academic Systems Support and Training Specialist in Academic Technology Services in OIT. She provides support for Princeton’s Blackboard service, OpenScholar, and Princeton’s WordPress blogs. Previously, she was an Educational Technologist at the Humanities Resource Center at Princeton University. Prior to coming to Princeton, she was an Instructional Technologist and Training Specialist at Rider University. She earned her Master’s of Science in Biomedical Visualization from the University of Illinois at Chicago.

Ben Johnston is currently Humanities Computing Specialist at Princeton University’s Center for Digital Humanities.  Ben has over fifteen years’ experience working with faculty to integrate technology into teaching, learning, and research at Princeton University’s Educational Technology Center in the Office of Information Technology, Bryn Mawr College, and Columbia University’s Columbia Center for New Media Teaching and Learning. Ben holds a Masters degree in Instructional Technology and Media from Teachers College, Columbia University.

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: Pivot: Collaboration and Funding Connected

Topic: Pivot: Collaboration and Funding ConnectedPivot-Logo1
Speaker: Kyle Burkhardt, ERA Manager (ORPA, Office of the Dean of Research)

Time: Thursday, October 2, 12:00pm – 1:00pm
Location: New Media Center, 130 Lewis Library, First Floor

To learn more about Pivot, check out the Pivot at a Glance Guide and the Finding Funding section of the ORPA (Office of Research and Project Administration). Additionally, members of the Princeton University community can contact Kyle Burkhardt directly with their questions.

Are you a Princeton student, faculty member or researcher looking for funding or collaboration opportunities?  Are you a staff member who helps others look for funding?   Do you want weekly email alerts of new opportunities matching your research interests?   Then come to the Pivot demo!  Learn how to sign up for a Pivot account, how to search and track opps, how to refine and save searches, and how to get opps in your inbox.

Kyle Burkhardt is the ERA Manager in the Office of Research and Project Administration (ORPA) at Princeton University. She is a software tester, documentation writer, and trainer for two software applications used by the University for Sponsored Research:  Coeus for proposal tracking and PS Grants for award/subaward tracking. Kyle also gives demos on how to use Pivot to find funding opportunities, and manages the University Research Board (URB) proposal reader process.