Posts with the tag: workshops

OER Workshops and Stipend

Open Educational Resources or OER are free or openly accessible materials such as textbooks, lesson plans, videos, and even full courses. Using no-cost or low-cost materials advances educational equity and directly impacts student retention and academic success.  Learn more about finding and using OER at a virtual session in collaboration with the Center for Teaching Read More

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Learn More About Open Educational Resources

Open Educational Resources (OER) are free or openly accessible materials such as textbooks, lesson plans, videos, and even full courses. With OER, students will have immediate access to course materials and will be able to reference them after the course is over. Without going through the traditional publishing process, materials can be updated more quickly Read More

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Digital Scholarship Fundamentals Workshops Fall Schedule

The University Libraries and the Department of Library and Information Science are offering a series of workshops this semester. The theme of the workshops is text data mining. Text data mining is the process of extracting valuable insights and patterns from unstructured textual data using various computational and statistical techniques to analyze and interpret this Read More

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What is Love Data Week?

Love Data Week (Feb. 8-12) is an international celebration of data hosted by the Inter-university Consortium for Political and Social Research (ICPSR). Love Data Week is a project to raise awareness of the importance of data in our daily lives and to build a community to engage on topics in data analysis, preservation, curation, dissemination, Read More

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Digital Scholarship Workshops Spring 2020 Schedule

The Catholic University Libraries are offering a number of Digital Scholarship Workshops this semester. Can’t make it? We are available for individual consultations (students and faculty) and we can provide in-class workshops on a variety of tools and methodologies that can be tailored to your particular course needs. Come have a conversation with us! The Read More

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Workshop: OpenRefine: Regular Expressions & APIs

  Building on the previous OpenRefine workshop, we will work with regular expressions and construct a script from scratch and run some basic recipes for solving common problems. We will construct a simple API call to search for our data.   Instructors: Christian James, Web Application Librarian, and Kevin Gunn, Coordinator of Digital Scholarship Thursday, Read More

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Workshop: ArcGIS with StoryMaps

Come celebrate GIS Day (November 13th) by telling an interesting story using ArcGIS StoryMaps. Combine your map with narrative text, images, and multimedia content. We will create a StoryMap Tour and a Story Map Journal. Instructor: Kevin Gunn, Coordinator of Digital Scholarship Wednesday, November 13, 2019 12:30 PM – 2:00 PM 115 Mullen Library Instruction Read More

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Workshop: Using OpenRefine for Manipulating Data

When working with your dataset, have you wondered how to remove ‘null’ or ‘N/A’ from fields, handle different spellings of words, or determining whether a field name is ambiguous? For this workshop, we will use the Open Access software, OpenRefine, to clean, manipulate, and refine a dataset before analysis. You are welcome to bring your Read More

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Workshop: Working with Giphy Images

A brief hands-on workshop on how to create animated GIFs using GIPHY CAM. Attendees will learn helpful tips and tricks, then create their own animation using photos and found items. The session will conclude with a brief “film festival” where everyone will see what their colleagues have created. Let’s have some fun! Instructor: Lea Wade, Read More

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Workshop: 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 Read More

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