Developing Your Digital Profile
Promoting your scholarly presence online can be an arduous task. You’re not alone! With such diverse platforms as Google Scholar, Humanities Commons, Academia.edu, Linkedin, ResearchGate, ORCiD, institutional repositories and more, the options for online promotion can be daunting. This workshop will discuss the ways to build your scholarly digital profile and the advantages and disadvantages of each platform. The session will include an exploration of several tools with a goal to establishing best practices for promoting you and your research. Please RSVP to firstname.lastname@example.org.
Fri., Feb. 15th, 12:30pm – 1:30pm Mullen Library Instruction Room
Working with Regular Expressions in OpenRefine
Cleaning and manipulating your dataset is an essential yet time-consuming skill. Let us save you time by introducing you to OpenRefine and particularly regular expressions. While OpenRefine can perform perfunctory tasks as removing unwanted punctuation marks from fields, or isolating and transferring variables in an individual field, its most salient feature is the use of regular expressions. We will show you how to construct a script from scratch and run some basic recipes for solving common problems. Once you see the power of regular expressions in OpenRefine, say “goodbye” to Excel. Please RSVP to email@example.com.
Thu., March 7th, 12:30pm – 2:00pm Mullen Library Instruction Room
Organizing and Documenting Your Data
Managing, organizing, and documenting your data is an increasing concern for researchers. This workshop is an overview of research data management basics, including using data management plans; following proper guidelines for naming and organizing data, folders, and files; organizing, storing, and backing up your files; and documenting your data using README files, codebooks, and data dictionaries. This workshop will provide you with techniques in managing your data (and time!) better. Please RSVP to firstname.lastname@example.org.
Thu., March 21st, 12:30pm – 2:00pm Mullen Library Instruction Room
Data Visualization Basics
Back by popular demand! Have you wondered when you should use a pie chart (almost never), a scatter plot, or a heat graph? Before working on how to best present your project through data visualization, understanding the basic principles of visual perception, design and representing data, and communicating your research to an audience, is essential. We will examine some visualization methods and how best to apply them to different kinds of data. Please RSVP to email@example.com.
Thu., April 11th, 12:30pm – 2:00pm Mullen Library Instruction Room