Library Carpentry lesson: an introduction to OpenRefine for Librarians This Library Carpentry lesson introduces people working in library- and information-related roles to working with data in OpenRefine. At the conclusion of the lesson you will understand what the OpenRefine software does and how to use the OpenRefine software to work with data files.

A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.

Short Description:
This work was created as part of the University Libraries’ Open Educational Resources Initiative at the University of Missouri–St. Louis.

Long Description:
The contents of this work have been adapted from the following Open Resources: An Introduction to Psychological Statistics (https://irl.umsl.edu/oer/4/). Garett C. Foster, University of Missouri–St. Louis. Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

Changes to the original works were made by Dr. Linda R. Cote, Professor of Psychology, Marymount University, Arlington, Virginia; Dr. Rupa G. Gordon, Associate Professor of Psychology, Augustana College, Rock Island, Illinois; Dr. Chrislyn E. Randell, Professor of Psychology, Metropolitan State University of Denver, Denver, Colorado; Judy Schmitt, Reference Librarian, University of Missouri–St. Louis; and Helena Marvin, Reference Librarian, University of Missouri–St. Louis. Materials from the original sources have been combined, reorganized, and added to by the current authors, and any conceptual, mathematical, or typographical errors are the responsibility of the current authors.

Cover image: “A Crushing Decision” by Lew (tomswift) Holzman/Flickr is licensed under CC BY-NC-ND 2.0. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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Part 1 of 15.Introduction to Shelton State library resources.  Includes outlines for a quiz and a discussion board.

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The text provides an upper-level undergraduate introduction and explanation of the social and cognitive processes involved in human communication, focusing on how people create understanding.

Word Count: 26193

ISBN: 9781948027021

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TeachingWithData.org, through a partnership with the Science Education Resource Center (SERC) has developed a library of pedagogic modules for educators across the curriculum. Each module features a particular pedagogic methodology including examples of how the method can be applied in a variety of subjects. SERC vets these modules with pedagogic experts; all pedagogic content is subject to a blind peer review process before it is made live.A growing collection of classroom activities, submitted by faculty, is included within each pedagogic module. The result is an enhanced collection that allows users to seamlessly browse between pedagogic content and classroom activities. The modules can be used in their entirety or instructors can use the modules to generate ideas for their instruction.Modules include:Teaching with DataDeveloping Quantitative ReasoningQuantitative WritingTeaching Quantitative Reasoning with the NewsUsing Socio-Scientific Issues-Based Instruction

What is the current state of artificial intelligence (AI) in the world of scholarly communication? What impact does AI have on the practices and strategies of publishers, libraries, information technology companies, and researchers? What exactly is AI and what are those in the realm of scholarly communication actually thinking about it and doing with it?

This Charleston Briefing seeks to provide some answers to these very important questions, offering both general essays on AI and more specific essays on AI in scholarly publishing, academic libraries, and AI in information discovery and knowledge building. The essays will help publishers, librarians, and researchers better understand the actual impact of AI on libraries and publishing so that they can respond to the potentially transformative impact of AI in a measured and knowledgeable manner.

"Charleston Briefings: Trending Topics for Information Professionals" is a thought-provoking series of brief books concerning innovation in the sphere of libraries, publishing, and technology in scholarly communication. The briefings, growing out of the vital conversations characteristic of the Charleston Conference and Against the Grain, will offer valuable insights into the trends shaping our professional lives and the institutions in which we work.

Apprenticechip is a course on case studies in and techniques for creating digital libraries for apprentice learners.

The goals of this course are: 1. Learn a 10 step approach to digital library design, creation, curation, operation and evaluation. 2. Through the lens of this 10 step approach, review case studies of over 20 digital libraries of various sizes, encompassing a variety of disciplines, addressing diverse missions, utilizing a variety of technologies and learn how they succeeded and failed. 3. Use this 10 step approach to create your own small digital library to help apprentice learners in your area of professional expertise or personal passion.

We also wish to provide an introduction to digital libraries and to explore the questions 1) What is the history of digital libraries and learning? 2) What is the future of digital libraries and learning? 3) How can we create digital libraries that help apprentice learners? and 4) What role do professional + amateur librarians have to play in the future of digital libraries and learning?

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Included H5P activities: 6

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This presentation and worksheet is used in a Library session with second year Library & Information Technology Students taking INFM 202. Objectives: Construct a search strategy from a clinical scenario using the PICO model.Know where to find (& how to use) the controlled vocabulary in a key health database.Accompanying materials: Worksheet for developing PICO question for given scenarios.Four scenarios with suggested answers to PICO question task.

This is a course for non-science majors that is a survey of the central concepts in physics relating everyday experiences with the principles and laws in physics on a conceptual level. Upon successful completion of this course, students will be able to: Describe basic principles of motion and state the law of inertia; Predict the motion of an object by applying Newtonęs laws when given the mass, a force, the characteristics of motion and a duration of time; Summarize the law of conservation of energy and explain its importance as the fundamental principle of energy as a –law of nature”; Explain the use of the principle of Energy conservation when applied to simple energy transformation systems; Define the Conservation of Energy Law as the 1st Law of Thermodynamics and State 2nd Law of Thermodynamics in 3 ways; Outline the limitations and risks associated with current societal energy practices,and explore options for changes in energy policy for the next century and beyond; Describe physical aspects of waves and wave motion; and explain the production of electromagnetic waves, and distinguish between the different parts of the electromagnetic spectrum.

Teaching Sources Rhetorically

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Augustana Campus Library

Short Description:
This series of modules introduces students to library services and introductory research skills, including finding specific books and articles, choosing a research topic, searching for information using library databases, and citing information sources.

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Hosted by:

Word Count: 2066

Included H5P activities: 24

ISBN: 978-1-55195-462-2

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This resource is used to provide library instruction for introductory undergraduate composition courses.

Course syllabus for MUS 180: Introduction to Library Research MethodsThe purpose of this course is to orient you to music research, for academic and professional purposes. You will also receive an introduction to writing about music including citing using the 17th edition of the Chicago Manual of Style, and writing program notes. Course content will focus on using library resources including physical and digital collections. Contact the course instructor (Carolyn Doi, Music Librarian, carolyn.doi@usask.ca with any questions or concerns throughout the course. 

A Beginner's Guide to Information Literacy covers the ACRL's Framework for Information Literacy frame by frame, using casual language and real world examples. Use this click-through text-based resource to understand the Framework as a whole or to work on understanding a particular Frame. Reflection questions are included for the casual learner or for anyone incorporating Information Literacy conversations into a classroom or workshop.

Information visualization is concerned with the visual and interactive representation of abstract and possibly complex datasets. As we encounter growing datasets in various sectors there is an increasing need to develop effective methods for making sense of data. Information visualization relies on computational means and our perceptual system to help reveal otherwise invisible patterns and gain new insights. Across various fields, there is great hope in the power of visualization to turn complex data into informative, engaging, and maybe even attractive forms. However, it typically takes several steps of data preparation and processing before a given dataset can be meaningfully visualized. While visualizations can indeed provide novel and useful perspectives on data, they can also obscure or misrepresent certain aspects of a phenomenon. Thus it is essential to develop a critical literacy towards the rhetoric of information visualization. One of the best ways to develop this literacy is to learn how to create visualizations! The tutorials offer a practical approach to working with data and to create interactive visualizations.

The tutorials require basic familiarity with statistics and programming. They come as Jupyter notebooks containing both human-readable explanations as well as computable code. The code blocks in the tutorials are written in Python, which you should either have already some experience with or a keen curiosity for. The tutorials make frequent use of the data analysis library Pandas, the visualization library Altair, and a range of other packages. You can view the tutorials as webpages, open and run them on Google Colab, or download the Jupyter notebook files to edit and run them locally.

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The goal of this resource is to support scholarly communication librarians wanting to implement accessibility measures in their open access, open education, and open data initiatives.

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This resource is meant for librarians and library students—especially those who work in scholarly communication. It presents mini “case studies” demonstrating how library workers are thinking about web accessibility as they undertake open access publishing, manage institutional repositories, and assemble digital collections.

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