Digital library
Textbooks, references and open learning resources.
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Principles of Data Science
Dr. Shaun V. Ault; Dr. Soohyun Nam Liao; Larry Musolino; Wisam Bukaita · OpenStax, Rice University
Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have included a diverse mix of scenarios, examples, and data types for analysis and discussion purposes. These include both fictional contexts and real-world sources, such as the Federal Reserve Economic Database and Nasdaq. Data sets focus on a range of topics: business, science, social sciences. Applications include healthcare, physical sciences, demographics, policy, and finance. Data ethics and the emergence of artificial intelligence are covered deeply – both in their own chapters and as consistent threads throughout the course material. The authors and contributors have developed rich in-chapter example problems and extensive practice exercises that encourage students to apply concepts in a variety of situations. Technical illustrations and Python code support and supplement the principles and theory. The text also includes direct links to downloadable data sets and Python code, as well as guidance on how to use them.
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Contemporary Issues in Collection Management
Kelsey Cameron; Chelsea Chiovelli; Danielle Deschamps; Marty Grande-Sherbert · Open Education Alberta · 2023
This edited, openly licensed, textbook examines several different issues in collection management. Topics covered include physical vs. digital collections; the impact of BookTok on collections; challenges to 2SLGBTQ+ collections ; ebook licensing; ebook pricing; accessible collections for users with physical disabilities; accessible collections for users with invisible disabilities; "just in time"/demand-driven acquisitions; climate change and collections and research data collections.
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Research Data Management in the Canadian Context
Emily Carlisle-Johnston; Danielle Dennie; Émilie Fortin; Elizabeth Hill · Western University · 2023
Research Data Management is a term for all the things that researchers do to structure, organize and maintain data before, during and after doing research. RDM is also an emerging discipline that is concerned with researching and developing ways to manage research data more effectively. But what is research data? Where is the push towards formal Research Data Management coming from? What are the requirements of good data management? Research Data Management in the Canadian Context: A Guide for Practitioners and Learners looks at these questions and more, all with a focus on Canadian guidelines, regulations and infrastructure.
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Business Information Systems: Design an App for That
Raymond Frost; Jacqueline Pike; Lauren Kenyo; Sarah Pels · Saylor Foundation · 2011
We set out to design an introductory course governed by four themes: Give students a good idea of what a career in MIS looks like by doing MIS. Enhance the professionalism of deliverables by teaching design and usability concepts. Promote creativity by assigning projects that demand it. Teach students about cloud computing by having them do cloud computing. Students in an introductory Management Information Systems (MIS) course often ask what a career in MIS looks like. Lacking a clear vision, they make their own assumptions. Often they assume the career involves programming with little human interaction. That MIS is a technical field could not be further from the truth. MIS job descriptions typically require candidates to be able to collaborate, communicate, analyze needs and gather requirements. They also list the need for excellent written and communication skills. In other words, MIS workers are constantly interacting with other people both inside and outside the organization. They are coming up with creative solutions to business problems. This course is designed to help students get a feel for what a career in MIS would be like. Our students report that they learn more about information systems from their internships than from their IS courses. Consequently, we designed a course that looks very much like an internship—an introduction to the field followed by a substantial project. Chapter 1 begins by introducing the information systems landscape. Here we discuss all the usual suspects: the information systems triangle, the systems development life cycle, transaction systems (ERP, SCM, CRM), collaboration systems, and business intelligence systems. Other aspects of the landscape such as usability, outsourcing, database concepts and so forth are introduced throughout chapter in Chapter 2 where they fit in naturally with the flow of the project. Chapter 2 is the substantial project which runs over a number of chapters. Over the course of the semester, students pl
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Information Systems for Business
Ly-Huong T. Pham, Tejal Desai-Naik, Laurie Hammond, & Wael Abdeljabbar · OERI
In the contents: 04: Data and Databases · 4.01: Introduction to Data and Databases · 4.02: Examples of Data
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A Guide to Technical Communications: Strategies and Applications
Lynn Hall and Leah Wahlin · The Ohio State University
In the contents: 4.04: Data Commentary
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Information Strategies for Communicators
Kathleen A. Hansen and Nora Paul · University of Minnesota
In the contents: 4.13: Combining Segment Data · 8.02: Contributors of Information and Database Searching · 14: Information Resources- Data and Statistics
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Information Systems for Business (Revised 1st Edition, 2021)
Ly-Huong T. Pham, Tejal Desai-Naik, Laurie Hammond, & Wael Abdeljabbar · ASCCC Open Educational Resources Initiative
In the contents: 04: Data and Databases · 4.01: Introduction to Data and Databases · 4.02: Examples of Data
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Strategies for Success in a Nursing Program
Lisa Harding, Alex Rockey and Joselle Merritt · Bakersfield College
In the contents: 9.04: Using Databases
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Information Systems for Business 2e
Pham & Desai-Naik · Evergreen Valley College
In the contents: 04: Data and Databases · 4.01: Introduction to Data and Databases · 4.02: Examples of Data
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Management Information Systems Remix
Candice Nance · Cañada College
In the contents: 04: Data and Databases · 4.01: Introduction to Data and Databases · 4.02: Examples of Data