CDVS Workshop: Tableau for Survey Data: Likert Scales
[In-person] Tableau is one of the easiest and most flexible programs for visualizing and exploring data. This exploration stage of visualization is essential for finding the patterns in your data that you want to investigate and communicate to your audience. Likert scale survey data, where respondents have given answers on a scale about how much they agree with a statement, or how important something is to them (e.g. strongly disagree, disagree, neutral, agree, strongly agree) presents a wonderful example for learning intermediate Tableau skills! In this workshop we'll transform survey data from Qualtrics in preparation for visualization, join (relate) multiple tables in Tableau, and build some effective visualizations for Likert scale survey results.
CDVS Workshop: Tools for Data Management
[Online] This workshop will first introduce data management practices for researchers to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented using examples that span disciplines. The second hour of this workshop will offer a mini "tour" of research data management tools including GitHub, LabArchives, and OSF and provide a framework for considering how to assess data management tools for future adoption. This workshop is eligible for 2 hours of Graduate School RCR Credit.
CDVS Workshop: Story Maps: Beyond the Basics
[In-person] This workshop will explore some of the newer and more advanced features of the ArcGIS StoryMaps platform. This easy-to-use web application combines interactive maps with narrative text, images, and videos to provide a powerful communication tool for any project with a spatial component. We assume participants have some prior experience with ArcGIS StoryMaps. Anyone brand new to StoryMaps should first attended our Introduction workshop or contact the instructor for training materials.
CDVS Workshop: Intro to ArcGIS Pro
[In-person] ArcGIS Pro is the newer alternative interface to the tried-and-true ArcGIS Desktop software (ArcMap), with essentially the same functions, but with more of a MS-Office feel. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project, and it's more fully integrated with ArcGIS Online (see schedule for workshops on ArcGIS Online or on StoryMaps). ArcGIS Pro can help you analyze or visualize digital data that has a locational component, and we'll discuss starting points for obtaining data. Examples will focus on social science data and feature (vector) layers, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction. This is an introductory class, and it's not necessary to be familiar with GIS software beforehand.
CDVS Workshop: R for data science: getting started, EDA, data wrangling
[In-person] Part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you'll learn the fundamentals of R, everything you need to know to quickly get started. You'll learn how to access and install RStudio, how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA). Part 1 has no prerequisites and no prior experience is necessary. By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques
CDVS Workshop: Meeting Data Management Plan Requirements
[Online] There are many federal and private funders who require data management plans as part of a grant application, including NIH who recently released a new Data Management and Sharing Policy that takes effect in 2023 and will apply to all grants. This workshop will cover the components of a data management plan, what makes a strong plan and how to adhere to it, and where to find guidance, tools, resources, and assistance for building funder-based plans. We will also discuss how to make data management plans actionable and meaningful living documents to support research integrity, reproducibility, reuse, and verification of results. This workshop is a collaboration of Duke University Libraries and the Office of Scientific Integrity and is eligible for the 200-level faculty and staff RCR.