Workshops

We offer, coordinate, and highlight workshops and training on data analysis and statistics, computation and software, as well as on Library resources and methods. Anyone in the UVA community may attend. It’s free! Feel free to email us recommendations for workshops you’d like to see: researchdataservices@virginia.edu.

View/register for Research Data Services workshops
Other Library Workshops ||CADRE Workshops || HSL Data Workshops
ARCS Workshops || SOMRC Workshops

RDS Workshops: Fall 2018 Click the date to register! (Registration is not required, but we usually send out an email ahead of time with links to resources you’ll need for the workshop, and we don’t want you to miss out!)

 

Workshop Topic (Instructor) Day Time Location
Introduction to Python (Pete Alonzi) Tuesday, 9/4 14:00 – 16:00 Brown 133
This workshop covers the fundamentals of Python beginning with setting it up on your system. We will start with installation and then move to interpreted coding focusing on the built-in data types. This will be a hands on experience with exercises throughout and plenty of time to get your hands dirty. No prior experience is required. Just bring your laptop.


Introduction to R (Jenn Huck) Thursday, 9/6 10:00 – 11:30 Brown 133
Designed for the absolute beginner, this workshop provides a gentle introduction to R and RStudio. R is a free, open-source software environment and programming language designed specifically for statistical analysis. Since its introduction in 2000, R has rapidly increased in popularity thanks to its power, price (free!), and supportive community. RStudio is a free integrated development environment (IDE) that makes using and learning R much easier. In this workshop we’ll get you started using R with RStudio, show you how to import data, do some basic data manipulation, create a few graphics, perform some basic statistical analyses, and point you in the direction to learn more and go further with R!

Intro to R Workshop Materials


Data Wrangling with R, Part I (Clay Ford) Tuesday, 9/11 10:00 – 12:00 Brown 133
In this first of a three-part series we take a deep dive into binding, merging and reshaping data in R. Binding and merging is what we do when we want to combine two or more sources of data, or when we want to subset one data source based on membership in another data source. Reshaping data is often required for plotting or modeling and is one of the core concepts behind creating a “tidy” data set. In this workshop we’ll provide a thorough introduction to these topics using the dplyr and tidyr packages and provide you the instructions and exercises to help you apply them to your own data.

Prerequisites: basic experience using R, or successful completion of our Intro to R workshop.

Download workshop materials


Introduction to QGIS (Erich Purpur) Wednesday, 9/12 10:00 – 11:30 Brown 133
This course will be a hand-on introduction to QGIS, a widely used open source Geographic Information Systems program. This session does not assume previous experience with GIS software, though prior experience will most likely be helpful. We will talk briefly about background information, compare and contrast QGIS with ArcGIS, and walk through exercises using commonly used tools. The session will run between 75 and 90 minutes. Please install QGIS on your own computer before the session. It is available for Mac and PC and can be found here: https://qgis.org/en/site/forusers/download.html.


Unix: Introduction to the Command Line (Ricky Patterson) Thursday, 9/13 10:30 – 12:00 Brown 133
This workshop will introduce new users to the command line interface and Unix shell commands. This would be useful both for users interested in using Unix on a local machine (including Linux and Mac OS X), as well as users who want to make use of remote resources such as the Rivanna cluster. Users will learn how to create and navigate directories, and to create, copy, move, and search files. We will also cover setting and changing file permissions, and creating symbolic links. Redirection of output and job control, with a brief discussion of shell scripts. Users will need to bring their own laptop in order to fully participate in the workshop.


Funding Discovery Tools (Ricky Patterson) Thursday, 9/13 14:00 – 15:00 Brown 133
Funding discovery databases help researchers identify opportunities from public and private funders. UVa now has access to two discovery tools licensed by the Vice Provost of Research, Pivot and GrantForward. These tools allow faculty, students and staff to search for funding and set up email search alerts based on a researcher’s area of interest. After the workshop, the attendees will learn how to create an account, search the databases, share funding opportunities with others, as well as save search strategies for email alerts regarding new opportunities. All students, faculty and staff at the University have access and the ability to create personal accounts. Please bring a laptop for use for this hands-on workshop.


Data Wrangling with R, Part II (Clay Ford) Tuesday, 9/18 10:00 – 12:00 Brown 133
In the second of our three-part series we focus on working with dates, times and strings in R. Once we know how to format dates and times in R, we can do things like calculate elapsed time, average number of days, determine weekly totals, and so forth. Mastering the basics of string manipulation allows us to identify or extract certain patterns from text, which can be useful for deriving new variables or cleaning up data. After this workshop you’ll have the tools and practice necessary to work more effectively with time and text in your own data.

Prerequisites: basic experience using R, or successful completion of our Intro to R workshop. Successful completion of Part 1 would also be helpful.

Download workshop materials


Census Basics (Jenn Huck) Wednesday, 9/19 14:00 – 15:00 Brown 133
These are the learning outcomes for the Census basics workshop: (1) Understand the available Census surveys, and their strengths and weaknesses; (2) Understand Census geographies; (3) Understand Standard Error in the ACS and how to compare estimates; (4) Understand where to find easy-to-download data; (5) Recognize advanced download options; and (6) Recognize other specialized Census products.

Census Workshop Guide


Introduction to Dedoose (Christine Slaughter) Wednesday, 9/19 10:00 – 12:00 Brown 133
New to qualitative research or looking for an appropriate analysis software? Imagine being able to blend your video, audio, and text data with your spreadsheet information in an on-line tool to get the most out of all of your data! Dedoose is an easy to learn, feature rich, and affordable web app that can help you visualize a variety of information from your work that you can share with the research community. Come and see Dedoose in action if you want to add qualitative analysis to your research toolbox.


Principles of Data Visualization and Tableau, Part I (Nancy Kechner) Thursday, 9/20 10:00 – 11:30 Brown 133
In this first of a two-part series, we’ll discuss the basic principles of visualizing data, graphit types and purposes, and strategies of effective visualizations. We’ll introduce Tableau as a tool to make your data stand out and tell its story.

Workshop Files


Data Wrangling with R, Part III (Clay Ford) Tuesday, 9/25 10:00 – 12:00 Brown 133
In the final part of our advanced data wrangling series we focus on programming and automation with R. When you find yourself copying-and-pasting chunks of code, or re-running chunks of code with different variables, it’s probably a good time to consider writing your own R function to help automate the process. For example, imagine generating summary statistics or plots for all 400 variables in a survey data set. In this workshop we’ll cover how to create your own R functions and how to “apply” or “map” them to a series of values or parameters. By the end you’ll have valuable instructions and experience for tackling your own automation and programming issues.

Prerequisites: basic experience using R, or successful completion of our Intro to R workshop. Successful completion of Parts 1 and 2 would also be helpful.

Download workshop materials


Introduction to EndNote (Jeremy Garritano) Tuesday, 9/25 14:00 – 15:30 Brown 133
EndNote is one option for managing and formatting your citations (bibliographic management software). This workshop will allow you to see the functionality of the EndNote desktop product as well as learn how it integrates with the web version. Please note, the EndNote software is not free and will not be made available to participants. However, a basic web version can be accessed for free and participants may use only that version for part of the workshop if they choose.


Introduction to Python (Erich Purpur) Wednesday, 9/26 10:00 – 11:30 Brown 133
This workshop covers the fundamentals of Python beginning with setting it up on your system. We will start with installation and then move to interpreted coding focusing on the built-in data types. This will be a hands on experience with exercises throughout and plenty of time to get your hands dirty. No prior experience is required. Just bring your laptop.


Data Visualization Using Tableau, Part II (Nancy Kechner) Thursday, 9/27 10:00 – 11:30 Brown 133
In this second of a two-part series, we’ll work within Tableau to create beautiful and interactive visualizations. Tableau is an easy to use, extremely powerful software package to visualize your data. Tableau Public is freely available to all.

Download Workshop Files


Introduction to LaTeX & Overleaf (Ricky Patterson) Thursday, 9/27 14:00 – 15:30 Brown 133
LaTeX is a powerful (and free) document typesetting program, widely used in a number of academic disciplines for compiling professional research papers, articles, dissertations, presentations, letters, and books. It is especially useful for the creation and integration of mathematical formulae, tables and bibliographies into documents. Running an installation of LaTeX on your own computer can make it difficult to work on a document collaboratively. The UVa Library has recently provided access for all UVa users to an on-line collaborative LaTeX editor, Overleaf. Come learn how to take full advantage of this powerful tool. Participants will need to bring their own laptop for this workshop.


Introduction to Git/GitHub (Pete Alonzi) Tuesday, 10/2 14:00 – 16:00 Brown 133
Git is a program in the class of version control software. Proper use will help you to manage your development. Until recently the software has been a burden to operate but the development of Github.com has changed that. In this workshop we will explore the use of git through the github framework. We will work with the web interface and the desktop client. Please bring your laptops. The use of github requires a user account so please set one up prior to arrival at github.com.

Intro to Git/GitHub Materials


Visualization in R with ggplot2 (Clay Ford) Wednesday, 10/3 10:00 – 12:00 Brown 133
The ggplot2 package has revolutionized data visualization with R. With its consistent syntax and layered approach to making graphics, ggplot2 allows you to rapidly visualize your data in ways that previously would have required hours of tedious programming. In this workshop we introduce the logic behind ggplot2, how to use ggplot2 to explore your data, and how to customize and polish ggplot2 graphs.

Prerequisites: basic experience using R, or successful completion of our Intro to R workshop.

Download workshop materials


Data in Excel (Nancy Kechner) Thursday, 10/4 10:00 – 11:30 Brown 133
Excel is available everywhere, and is a powerful tool for data cleaning, analysis, and visualization. This hands-on session will cover the basics of Excel, from entering data, constructing formulas, creating charts and pivot tables.

Download workshop materials


Publish or Perish! Research Metrics for Academics (Erich Purpur) Thursday, 10/4 13:00 – 14:30 Brown 133
Are you applying for tenure, promotion or a new job? Do you need to prepare for your performance appraisal? Do you need to perform a literature review? Publish or Perish is designed to help individual academics to present their case for research impact to its best advantage, even if you have very few citations. You can also use it to decide which journals to submit to, to prepare for a job interview, to do a literature review, to do bibliometric research, or to do some homework before meeting your academic hero. In this session we will cover some basics with the software to allow you to use it to your advantage.


Text Analysis with R, Part I (Michele Claibourn) Tuesday, 10/16 10:00 – 12:00 Brown 133
This three-part series will take a deeper dive into text analysis and natural language processing tasks using R. In this first session, we will start by formatting and inputting source texts, creating a corpus, structuring metadata, processing and preparing text for analysis, and generating descriptive statistics about a corpus. We’ll spend time considering conceptual models of text, focusing on a “bag-of-words” approach.

Prerequisites: basic experience using R at least at the level of our Introduction to R workshop.

Download workshop materials


Introduction to Apache Spark and PySpark (Pete Alonzi) Tuesday, 10/16 14:30 – 16:30 Brown 133
TBA


Getting Started with Bayesian Data Analysis in R (Clay Ford) Thursday, 10/18 10:00 – 12:00 Brown 133
Are you interested in learning more about Bayesian data analysis but not sure where to start? This workshop is for you! In this applied, hands-on workshop, we introduce the fundamental ideas of Bayesian statistics while comparing and contrasting them to traditional statistical methods. For example, what is the Bayesian “equivalent” to a 2-sample t-test? How is it different? Why do it? How do we do it? Using R and a few selected packages, we’ll get you started running basic Bayesian data analyses and hopefully lay a foundation for you to go further and learn more.

Prerequisites: basic experience using R, or successful completion of our Intro to R workshop. A basic understanding of probability distributions would be helpful as well.

Download workshop materials


Qualitative Data Analysis (Christine Slaughter) Wednesday, 10/24 10:00 – 12:00 Brown 133
Have you collected qualitative data and are unsure how to proceed in analyzing it? Come to this workshop, where we will explore principles of qualitative analysis, including coding, discerning patterns, relevant software, and how to build an argument using your data. This workshop is geared toward graduate students and advanced undergraduates in the social sciences, but all are welcome.


UVaCollab for Research Collaborations, Part I (Bill Corey) Thursday, 10/25 10:00 – 11:30 Brown 133
This two-part series will explore using UVaCollab for research collaborations. In this first session, we will discuss research collaboration, and how to use UVaCollab as a research site for a lab, or an individual or group project. We will discuss what tools are available, and how they can be used for research. We will create our basic Research site. All participants will have access to the completed site as a sandbox and reference for creating research sites of their own. There will be a Q&A at the end of the session for your questions and suggestions.


Text Analysis with R, Part II (Michele Claibourn) Tuesday, 10/30 10:00 – 12:00 Brown 133
This three-part series will take a deeper dive into text analysis and natural language processing tasks using R. In this second session, we will examine and implement a set of “unsupervised” approaches to understanding text, including co-occurrence, clustering, and topic models.

Prerequisites: basic experience using R and familiarity with text processing at the level of part I in this series.


UVaCollab for Research Collaborations, Part II (Bill Corey) Tuesday, 11/1 10:00 – 11:30 Brown 133
This two-part series will explore using UVaCollab for research collaborations. In this second session, we will complete our UVaCollab research site by adding the components you want, select the appropriate options, and add participants. We will create and link several sub-sites and discuss their possible uses. All participants will have access to the completed site as a sandbox and reference for creating research sites of their own. There will be a Q&A at the end of the session for your questions and suggestions.


Data Storage Best Practices (Bill Corey) Tuesday, 11/6 14:00 – 15:30 Brown 133
Data Storage is a critical part of every research project. This workshop will explore data storage best practices, storage options available from UVa through ITS, options from 3rd parties, data sharing, and data security requirements. We’ll look at UVaBox, Box, Dropbox, Google Docs, Google Drive, Amazon AWS, and Microsoft OneDrive, SharePoint and Azure.


Paper Machines (Maggie Nunley) Thursday 11/08 15:00 – 16:00 Brown 133
PaperMachines is a plug-in for Zotero that’s easy to use for topic modeling and creating visualizations: http://papermachines.org/.


Text Analysis with R, Part III (Michele Claibourn) Tuesday, 11/13 10:00 – 12:00 Brown 133
This three-part series will take a deeper dive into text analysis and natural language processing tasks using R. In this third session, we will examine and implement a set of “supervised” approaches to understanding text, including classification using dictionaries (as in lexicon-based sentiment analysis) and via statistical models.

Prerequisites: basic experience using R and familiarity with text processing at the level of part I in this series.


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Other Workshops by Our Team Day Time Location
Date & Excel: A Love Story Workshop (Nancy Kechner) Tuesday, 9/18 13:00 – 14:00 Brown 133
Excel is available everywhere, and is a powerful tool for data cleaning, analysis, and visualization. In this workshop we’ll explore the interface, formulas, charting, visualization tools, and pivot tables.


Literature Reviews with Publish or Perish: Science/Engineering (Erich Purpur) Monday, 9/24 14:00 – 15:00 Brown 133
Do you need to know how other scholars have addressed your topic? Want to make sure you find relevant related literature? Curious about what a literature review even is? Come to this workshop to position your argument compared to other research on your topic. We will learn about and use Publish or Perish, a free (and powerful) tool developed for academics to survey scholarly literature in their discipline and use it to their own advantage.

If you’d like, you can download Publish or Perish and use it during the session. Find it here: https://harzing.com/resources/publish-or-perish


Literature Reviews in the Social Sciences (Christine Slaughter) Friday, 9/28 11:00 – 12:00 Brown 133
Do you need to know how other scholars have addressed your topic? Want to make sure that you find relevant related literature? Curious about what a literature review even is? Come to this workshop to learn how to situate your argument in relation to other research that’s been done on your topic. Develop strategies for finding, evaluating, and organizing sources for your literature review. This workshop will be geared towards new graduate students and advanced undergraduate students in the social sciences; however, all are welcome to attend.


Visualize Data Using Tableau (Nancy Kechner) Wednesday, 10/10 15:00 – 16:00 Brown 133
An introduction to the Tableau platform starting from beginner to building an interactive visualization on the web. This workshop is ideal for anyone wanting to learn about presenting data or making dynamic and interactive visualizations.


Wikipedia Editing Basics (Maggie Nunley) Thursday, 11/1 15:00 – 16:00 Brown 133
Whether you’re interested in learning how to edit Wikipedia so that you can jump into creating content or you just want to know how information is created and maintained on Wikipedia, we’ll cover the basics of everything you need to know about how Wikipedia operates. This session will include not only the basics of editing but also the advantages, problems, and challenges that Wikipedia faces. This session will cover how to create an account, basic rules, Wikipedia support, copyright issues, and editing both an existing and new page.


ORCiD: The Free iD that Can Ensure You Get Credit for All of Your Research (Ricky Patterson) Wednesday, 11/7 13:00 – 14:00 Brown 133
Have you been asked for an ORCiD number when submitting a paper to a journal, or a grant application to a funder? ORCiD IDs (or ORCiDs) are permanent, unique identifiers for researchers, which allows you to unambiguously associate all of your research and scholarship with you, regardless of your name, discipline, or institutional affiliation.

In this workshop, you will set up your own (free) ORCiD, and associate it with your publications. We will look at the available ways to claim your academic output so that it is associated with your ORCiD. We will also discuss how ORCiDs are increasingly being required by publishers when submitting papers, and how funders are also starting to use them. You can use them on a CV, or webpage to highlight your work. (See my own ORCiD for an example: http://orcid.org/0000-0003-1494-8399).

This introductory workshop is aimed at researchers of all levels, but primarily targeted towards graduate students. Please bring your laptop!