These chapters present a series of short readings with discussion questions and exercises related to basic research skills.  Topics relate to the whole research process from identifying a topic through presenting one’s own work and address both library research as well as searching for and evaluating sources on the open web.

This work was originally created to serve the needs of IS1111 Tackling a Wicked Problem taught at Plymouth State University.  You can see these chapters in the context of the other course readings at wicked-problem.press.plymouth.edu.  This version has been revised to remove references to institution-specific resources and programs in the hopes that these chapters may be useful in other contexts.

While the title, Researching Wicked Problems, implies a narrow applicability, this content addresses basic information literacy skills useful in a variety of contexts at a level appropriate for first year college students.

Critical Data Studies (CDS) is an interdisciplinary field that addresses the ethical, legal, sociocultural, epistemological and political aspects of data science, big data, and digital infrastructure.

This course focuses on current topics in critical data studies scholarship. Students will develop tools and methods to think critically and engage the public in conversation about data and society.

The overall course and module are designed for asynchronous independent or group learning experiences. Instructors and students are encouraged to use the module as a whole or incorporate individual videos, discussion, writing and/or reading assignments into their course of study as desired.

[Note: The first module is available, and a second module is planned for a future release]

The smart grid of the future is a complex electrical power system. Its study, design, and management requires the integration of knowledge from various disciplines including sustainability, technology and mathematics.

Smart grids show a level of complexity and heterogeneity that often cannot be covered by analytical methods. Therefore, modeling and simulation are of great importance.

In this course, you will apply modeling tools to study and analyze the performance of your self-designed intelligent electrical power grid. By modeling smart grids, you will explore the integration of renewable energy sources into a grid, its dynamics, control and cyber security.

This webinar will introduce the integration of JASP Statistical Software (https://jasp-stats.org/) with the Open Science Framework (OSF; https://osf.io). The OSF is a free, open source web application built to help researchers manage their workflows. The OSF is part collaboration tool, part version control software, and part data archive. The OSF connects to popular tools researchers already use, like Dropbox, Box, Github, Mendeley, and now is integrated with JASP, to streamline workflows and increase efficiency.

SEHRA (Sunshine EHR Academic), is an educational simulation of an electronic health records system using Access 2019 as the development platform. Piloted in December of 2019, SEHRA was successfully implemented in January of 2020, and became an essential part of SUNY Broome’s ability to take health science classes and clinicals online in March of 2020 in response to the COVID-19 pandemic. SEHRA continues to grow and is currently used in on-campus laboratories, remote courses, and for professional practice experience.

Syllabus for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

These modules are meant to be very flexible so that instructors can use them in their courses as they see fit. They are organized into three categories: Basics Lessons, Fair Use Lessons, and Rights Statements Lessons. Each module explains the lesson objectives and is centered on an episode of the Podate ©hat (Copyright Chat). Some modules incorporate recommended readings as well. Each module has some “homework” for students to do outside of class as well as in-class exercises and discussion topics. The lessons are organized into modules because an instructor may only wish to engage with a particular topic, such as fair use or copyright myths, or might be more ambitious and have time to devote to all eight lessons. In any event, each module can stand alone or be used with other modules to create a course unit.

This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science. This book focuses on discrete models, which include graphs, cellular automata, and agent-based models. They are often characterized by structure, rules and transitions rather than by equations. They tend to be more abstract than continuous models; in some cases there is no direct correspondence between the model and a physical system.

This webinar will introduce the concept of version control and the version control features that are built into the Open Science Framework (OSF; https://osf.io). The OSF is a free, open source web application built to help researchers manage their workflows. The OSF is part collaboration tool, part version control software, and part data archive. The OSF connects to popular tools researchers already use, like Dropbox, Box, Github and Mendeley, to streamline workflows and increase efficiency. This webinar will discuss how keeping track of the different file versions is important for efficient reproducible research practices, how version control works on the OSF, and how researchers can view and download previous versions of files.

Short Description:
This book uses a tidyverse approach to introduce various forms of visualization to assist in exploratory data analysis, and data visualization.

Word Count: 3017

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Word Count: 22276

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

More researchers are preregistering their studies as a way to combat publication bias and improve the credibility of research findings. Preregistration is at its core designed to distinguish between confirmatory and exploratory results. Both are important to the progress of science, but when they are conflated, problems arise. In this webinar, we discuss the What, Why, and How of preregistration and what it means for the future of science. Visit cos.io/prereg for additional resources.

This video is the first in a series of videos related to the basics of power analyses. All materials shown in the video, as well as content from the other videos in the power analysis series can be found here: https://osf.io/a4xhr/

Badges are a great way to signal that a journal values transparent research practices. Readers see the papers that have underlying data or methods available, colleagues see that norms are changing within a community and have ample opportunities to emulate better practices, and authors get recognition for taking a step into new techniques. In this webinar, Professor Stephen Lindsay of University of Victoria discusses the workflow of a badging program, eligibility for badge issuance, and the pitfalls to avoid in launching a badging program. Visit cos.io/badges to learn more.