This series of FREE 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 2023 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 also introduces 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.
Digitization 101
This session will cover the basics of digitization, including benchmarks and best practices. However big or small your digital scholarship project may be, it’s important to have standards in place at the onset of the project. The session will also cover platform choice and long-term preservation issues for digital media, as well as some ideas for digital exhibits. This session will also include some basics on personal digital archiving, including some best practices on file organization and storage.
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 UL’s collections. The topic of predatory publishers and how to detect and avoid them will be presented.
Intro to Web Scraping Using R or Python
In this session, we’ll give an overview of how web scraping works, talk about how to assess whether web scraping is right for your project (including ethical and copyright issues), and show a worked example of a few web scraping tasks that are possible using the R packages rvest and xml2 (and other scraping tools, such as Python). Prior familiarity with R or Python is helpful, but not required.
Data Visualization
In this session, participants will learn about various ways data visualization can help enhance research. The session will cover tools and services available to University students, faculty and staff.