This series of virtual one-hour webinars are designed to cover selected introductory topics in digital scholarship. The programs will provide attendees with professional development skills to conduct research in the digital age and supply introductory training to areas that may not be covered in regular instruction and curricula. Topics include basics on digitization, text mining, copyright and data visualization. These workshops will also include time for discussion and questions. All are welcome to attend!
Browse the Spring 2024 Digital Scholarship Series Collections
Introduction to ORCiD and OAKS
ORCiD offers individual researchers a unique numerical identifier that distinguishes them from others with similar names, ensuring that their professional work is recognized. This session will cover registration for an ORCiD ID, adding biographical information and scholarly citations, and using it for scholarly communication. This session provides an overview of Open Access Kent State, or OAKS, which is Kent State's institutional repository (IR). IRs collect, preserve and disseminate the research and creative output of an institution. Learn about contributing your work to OAKS and how that can help grow and preserve your research and creative endeavors.
Overview of the University Research Data Working Group (URDWG)
In this presentation, we will provide an overview of the research computer services available to the University. We will discuss a high-level overview of which solution is best for a variety of use cases, as well as a path to either requesting these services or getting help with these services. Additionally, given that this is a quickly changing set of service offerings, we will discuss future plans and resources that we anticipate bringing online over the course of the next 12 months.
The Changing Landscape of Generative AI
As generative AI tools continue to emerge at a rapid pace, many educators are grappling with the opportunities and challenges that AI presents in higher education. In this session, we will explore how AI will impact the classroom and strategies you can use to guide students through navigating this new technology. We will also delve into the ethical considerations related to data privacy and bias and gain an understanding of the crucial intersection between AI and copyright in the academic realm.
Open Access and Predatory Publishers
In this session, participants will learn about the concept of Open Access (OA) and its positive impacts for scholarly communication. We will review current efforts to support the OA movement through University Libraries, including OA publishing avenues and resources through the libraries' collections. The topic of predatory publishers and how to detect and avoid them will also be presented.
Web Scraping Using R
In this session, we’ll give an overview of how web scraping works and talk about how to assess whether web scraping is right for your project (including ethical and copyright issues). We’ll show examples of how to use the statistical software R to do several handy scraping tasks, such as automated downloading and extracting text or tables from web pages. Prior familiarity with R is helpful, but not required.