Skip to main content

Digital Scholarship and Data Services

Mission

To advance digital scholarship and digital academic research by providing a supportive environment where researchers can connect, share knowledge, and collaborate on innovative projects that leverage digital technologies and data-driven methods.

Vision

Our vision for Digital Scholarship and Data Services (DSDS) is to serve as a dynamic hub of innovation, collaboration, and excellence in support of scholarly endeavors. We aspire to be at the forefront of digital scholarship, leveraging emerging technologies and best practices to empower researchers, support scholarly communication, and advance knowledge creation. By fostering interdisciplinary collaboration, promoting open access principles, and embracing a user-centric approach, we aim to inspire transformative research, enrich teaching and learning experiences, and contribute to the advancement of knowledge in an ever-evolving academic landscape. 

Our Expertise

3D Printing for Research Applications - 3D printing expertise across a broad range of materials, print volumes, and printer setups

Advanced Imaging Techniques - Photogrammetry/3D scanning, 3D modeling, capturing, storing and sharing 3D data  

Data Analysis & Management Methodologies – Cleaning messy data, data visualizations, research data management

Digital Storytelling – Digital exhibits, storytelling through mapping, digital editions, digital humanities ethos

Digital Lifecycle Management – Digital preservation, web archiving, lightweight web presences, digital information literacies

Information Engineering – Automation techniques, working with large language models, data science principles  

Project Management for Digital Scholarship – Tools and methods for managing digital scholarship workflows and timelines from project ideation to publication. 

Services

Consultations

DSDS personnel are available for consultations to discuss:

Tools and technologies. DSDS can provide guidance on using tools for which we have expertise and can collaborate with you on approaches to develop a deeper understanding of tools we are less familiar with.

Methodologies and workflows to help you determine which options could be most supportive of your research goals.

Research and theory. Our team of experts are trained in a variety of disciplines. We are excited to explore how your research intersects with digital scholarship, data science, information science, arts & humanities research and more.  

Campus collaborative opportunities. DSDS can help connect you with other members of the OU community that can help you further your research goals.

Embedded Course Instruction

Faculty may request to collaborate directly with library specialists through integrated course instruction. Specialists are available for one-time class visits or to collaborate on semester-long classes.

Research Data Management

Guidance and support on creating data management plans, curating research data, or using generalist data repositories such as Dryad and Open Science Framework (OSF).

Grant Funded Project Support

Collaborations on grant funded projects. DSDS personnel are available for embedded grant support on a case-by-case basis. If you are interested in collaborating with our specialists on a grant project, please get in touch with us. 

Open Office Hours

Open office hours are available on a weekly basis on the following topics:

  • Data Services: Thursdays 1pm – 3pm (In Bizzell LL121C or via Zoom )

Workshops

Workshops on a variety of topics are available each semester. Though some topics may be suitable for intermediate or advanced skill sets, most workshops are meant to provide an introduction to a tool or topic. Please visit the Libraries' events calendar for a full schedule of library events and workshops.

Check back in August for the Fall 2025 workshop schedule!

Sample topics include:

  • Data Cleaning with Open Refine  
  • Python
  • Getting Better Results with Prompt Engineering
  • Version Control using Git/GitHub  
  • Visualizations in Python using Matplotlib  
  • Creating a Digital Exhibit with Omeka
  • R for Social Sciences
  • Visualization in R using 'ggplot2’

Labs & Tools

Our Team