The Digital Scholarship team is the ÐÇ¿Õ´«Ã½ community's expert collaborators for technology-assisted scholarship and communication in all disciplines. If we don't have the expertise, we'll help you find it. Get started with our FAQs or see what areas we support below.
GIS can be used for geographic analysis, map making, spatial digitization, and spatio-statistical analysis. In addition to platforms like ArcGIS Pro, QGIS, and ArcGIS Online, the Freedman Center offers a rich collection of books highlighting the potential uses of GIS. More about GIS:
Text analysis enables scholars to explore, analyze, and interpret vast amounts of textual data across diverse disciplines. By leveraging text analysis techniques and tools effectively, researchers can unlock valuable insights, facilitate knowledge discovery, and drive innovation in their respective fields. More about textual analysis:
R is a free software environment for statistical computing and graphics. It utilizes a library of thousands of packages for a wide variety of statistical and data visualization purposes. RStudio is a free Integrated Development Environment (IDE) for R that provides tools for code, data and workspace management. More about R:
Python is an open-source programming language with a large online community. It can be used to clean data for analysis, Web scraping, topic modeling, stylometry, and more. More about Python:
Network analysis maps relationships between entities or datapoints, most often expressed as nodes and edges. Used to reveal the invisible landscapes of interconnected people, places, ideas, etc., the kind of data it can analyze is vast and can include biological information or relationships on social networking sites. Network analysis and visualization tools include:
Research data management comprises a set of practices—including file organization, documentation, storage, backup, security, preservation, and sharing—which affords researchers the ability to more quickly, efficiently, and accurately find, access, and understand their own or others' research data. For more about RDM:
KSL offers support for storing and promoting ÐÇ¿Õ´«Ã½-affiliated scholarship. Whether you are in the process of collecting your data or ready to publish your work, these resources can help get your scholarship noticed and improve your academic visibility. Our resources include:
Open scholarship is a broad term to describe open practices throughout the research lifecycle including open access, open data, and open education. Open Scholarship advocates for free, online sharing of information created during the research process (data, code, notebooks, methods, digital media, etc.), as well as the final products (journal articles, books/chapters, conference papers, etc.). For more, see
At the Freedman Center, you can digitize from almost any consumer format from the past 100 years. Self-service digitization includes:
- Video tapes (VHS, VHS-C, Betamax) domestic and international.
- DVD and Bluray (SD quality only)
- Audio tapes
- Records (33,45, & 78)
- Print materials: including sheetfed paper, books, and photographs
- Microfilm, microfiche, and microcards
Digitization is often the beginning of broader digital scholarship projects. See examples of what can be done with digitized material through these examples on:
The Freedman Center supports multimedia production through its equipment lending program and , including the Adobe Creative Suite, Blender, and Camtasia. The recording studio will allow you to film using your own device; please note it is not soundproofed.
The Freedman Center for Digital Scholarship is partially maintained by an endowment established by Samuel B. and Marian K. Freedman.