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This book acknowledges our changing information landscape, covering key concepts in information literacy to support a research process with intention. We start by critically examining the online environment many of us already engage with every day, looking at algorithms, the attention economy, information disorder and cynicism, information hygiene, and fact-checking. We then move into an exploration of information source types, meaningful research topics, keyword choices, effective search strategies, library resources, Web search considerations, the ethical use of information, and citation.

This course is designed to give students the tools necessary to search, find, evaluate, cite, create, and publish responsible, ethical scholarship. Covers information literacy and how it applies to all aspects of their lives (profession, personal, entertainment), the need for accurate and appropriate citation, and how they are currently contributing to the scholarly conversation as well as how they can continue to do so.

This syllabus contains information, websites, and resources that are freely available to students as an alternative to a single textbook that is purchased. The semester course focuses on two major sections: 1) Learning Microsoft Office 2019 and 2) Computer Concepts. Students should develop a comfortable understanding of working in Microsoft Office 2019 as well as gain knowledge of computer concepts after taking this course.

We love the internet! It's a wealth of information where we can learn about just about anything, but it's also kind of a pit of information that can be false or misleading. So, we're partnering with Mediawise and the Stanford History Education Group to make this series on Navigating Digital Information. Let's learn the facts about facts!

This is an introductory course in data literacy and databases. The course includes aspects of database design including entity relationship modeling, tables, and queries. Students will utilize database applications and Structured Query Language (SQL). Data science including data collection, modeling, and visualization will be discussed. Best practices for data security and privacy in regards to current regulations around the world will be emphasized in this course.
Learning Objectives

Classify a diverse variety of data and construct usable data models
Identify and apply industry best practices
Demonstrate how to effectively use data within your job/industry
Articulate how to collect and handle data
Visualize and present data in ways that are easy to communicate with others
Write efficient SQL statements
Practice and implement database modeling and design
Utilize and implement industry best practices for security and data standards

As rapidly changing technology enables researchers to collect large, complex datasets with relative ease, the need to effectively manage these data increases in kind. This is the first lesson in a series of education modules intended to provide a broad overview of various topics related to research data management. It covers: trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.

Data Carpentry lesson to understand data structures and common storage and transfer formats for spatial data. The goal of this lesson is to provide an introduction to core geospatial data concepts. It is intended for learners who have no prior experience working with geospatial data, and as a pre-requisite for the R for Raster and Vector Data lesson . This lesson can be taught in approximately 75 minutes and covers the following topics: Introduction to raster and vector data format and attributes Examples of data types commonly stored in raster vs vector format Introduction to categorical vs continuous raster data and multi-layer rasters Introduction to the file types and R packages used in the remainder of this workshop Introduction to coordinate reference systems and the PROJ4 format Overview of commonly used programs and applications for working with geospatial data The Introduction to R for Geospatial Data lesson provides an introduction to the R programming language while the R for Raster and Vector Data lesson provides a more in-depth introduction to visualization (focusing on geospatial data), and working with data structures unique to geospatial data. The R for Raster and Vector Data lesson assumes that learners are already familiar with both geospatial data concepts and the core concepts of the R language.

Data Carpentry lesson to open, work with, and plot vector and raster-format spatial data in R. The episodes in this lesson cover how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data.

This workshop will introduce you to Jupyter Notebooks, a digital tool that has exploded in popularity in recent years for those working with data. You will learn what they are, what they do and why you might like to use them.

It is an introductory set of lessons for those who are brand new, have little or no knowledge of coding and computational methods in research. This workshop is targeted at those who are absolute beginners or ‘tech-curious’. It includes a hands-on component, using basic programming commands, but requires no previous knowledge of programming.

Introduction to Library Research was written by librarians at Clackamas Community College to support LIB 101. It covers topic sentences and keywords, catalog, database, and Google searching, and evaluation of information.

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. 

Library and Information Science (LIS) is the academic and professional study of how information and information carriers are produced, disseminated, discovered, evaluated, selected, acquired, used, organized, maintained, and managed. This book intends to introduce the reader to fundamental concerns and emerging conversations in the field of library and information science.

A secondary goal of this book is to introduce readers to prominent writers, articles, and books within the field of library science. The book originated as a collection of annotations of important LIS articles. Though these citations are being developed into a fuller text, we hope that this book remains firmly rooted in the literature of LIS and related fields, and helps direct readers toward important resources when a particular topic strikes their fancy.

First thing’s first: what is media literacy? In our first episode, Jay breaks this question down and explains how we’re going to use it to explore our media saturated world.

Introduction: How much media do you consume?
What Media is
Media Literacy
Media Messages vs. Media Effects
Encoding and Decoding
Thought Bubble: Encoding and Decoding broken down
Textual Determinism
What information is trustworthy?
Spread media literacy!
What's to come
Credits

Lecture slides presented to undergraduates in the School of Chemistry, University of Leeds, UK. 

The materials in this module -- which include PowerPoint slides, two activity worksheets, and a LibGuide -- were developed for a 90-minute "back to basics" professional development workshop for college faculty and staff. The content provides a basic introduction to open educational resources, copyright, and open licenses.

Progress of every profession, academic discipline and society at large rides on the back of research and development. Research generates new information and knowledge. It is a standardized process of identifying problem, collecting data or evidence, tabulating data and its analysis, drawing inference and establishing new facts in the form of information. Information has its life cycle: conception, generation, communication, evaluation and validation, use, impact and lastly a fuel for new ideas. Research results are published in journals, conference proceedings, monographs, dissertations, reports, and now the web provides many a new forum for its communication. Since their origin in the 17th century, the journals have remained very popular and important channels for dissemination of new ideas and research. Journals have become inseparable organ of scholarship and research communication, and are a huge and wide industry. Their proliferation (with high mortality rate), high cost of production, cumbersome distribution, waiting time for authors to get published, and then more time in getting listed in indexing services, increasing subscription rates, and lastly archiving of back volumes have led to a serious problem known as "Serials Crisis". The ICT, especially the internet and the WWW, descended from the cyber space to solve all these problems over night in the new avatar of e-journals. Their inherent features and versatility have made them immensely popular. Then in the beginning of the 21st century emerged the Open Access (OA) movement with the Budapest Open Access Initiative (BOAI). Philosophy of open access is to provide free of charge and unhindered access to research and its publications without copyright restrictions. The movement got support from great scientists, educationists, publishers, research institutions, professional associations and library organizations. The other OA declarations at Berlin and Bethesda put it on strong footings. Its philosophy is: research funded by tax payers should be available free of charge to tax payers. Research being a public good should be available to all irrespective of their paying capacity. The OA has many forms of access and usage varying from total freedom from paying any charges, full permission to copy, download, print, distribute, archive, translate and even change format to its usage with varying restrictions.
In the beginning, OA publications were doubted for their authenticity and quality: established authors and researchers shied away both from contributing to and citing from OA literature. But Committee on Publication Ethics (COPE, 1997) and its code of conduct formulated in collaboration with DOAJ and OASPA, etc. have stemmed the rot. They have defined best practices and compiled principles of transparency for quality control to sift the grain from the chaff; to keep the fraudulent at bay. Now it is accepted that contributors to OA get increased visibility, global presence, increased accessibility, increased collaboration, increased impact both in citations and applications, and lastly instant feedback, comments and critical reflections. This movement has got roots due to its systematic advocacy campaign. Since 2008 every year 21-27 October is celebrated as the OA week throughout the world. There are many organizations which advocate OA through social media and provide guidance for others.
Open Access research literature has not only made new ideas easy and quick to disseminate, but the impact of research can be quantitatively gauged by various bibliometric, scientometric and webometric methods such as h-index, i-10 index, etc. to measure the scientific productivity, its flow, speed and lastly its concrete influence on individuals, and on the progress of a discipline. The OA movement is gaining momentum every day, thanks to technology, organizational efforts for quality control and its measureable impact on productivity and further research. It needs to be strengthened with participation of every researcher, scientist, educationist and librarian. This module covers five units, covering these issues. At the end of this module, you are expected to be able to:
- Define scholarly communication and open access, and promote and differentiate between the various forms of Open Access;
- Explain issues related to rights management, incl. copyright, copy-left, authors’ rights and related intellectual property rights;
- Demonstrate the impact of Open Access within a scholarly communication environment.
This is Module One of the UNESCO's Open Access Curriculum for Library Schools.
Full-Text is available at http://unesdoc.unesco.org/images/0023/002319/231920E.pdf.

This 4-part course is modified from a FORCE11 Scholarly Communication Institute hosted in 2018. It consists of a syllabus, slides, and instructional strategies designed to introduce open education to novices while also developing a more critical and nuanced understanding of complex issues within open education. Concepts or pieces can be reconfigured or adapted to fit other contexts, including workshops, trainings, and online instruction. The first three days of the course provide a foundation by defining OER and Creative Commons, delineating differences between affordable course material solutions and OER, exploring various OER repositories and evaluation tools, and learning about open pedagogy models. The fourth day of the course uses this foundation to explore and interrogate more complex issues, including labor, technocracy, accessibility, openwashing, and the intersection between privacy and openness. We have structured the content so that anyone with some background in scholarly communication (but perhaps no familiarity with open education) is able to learn from the resources firsthand or efficiently adapt them to teach a Library and Information Science course that covers these topics.

This video will introduce how to calculate statistical power in R using the pwr package.

All materials shown in the video, as well as content from our other videos, can be found here: https://osf.io/7gqsi/.