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Digital projects & methods: Home

Methods, Pedagogy, and Tools for Digital Scholarship and Digital Humanities Projects


The RDDS team collaborates with staff, students, and faculty colleagues across Penn’s campus to develop competencies in a variety of digital skills, tools, and methods, from spatial analysis to data visualization to web scraping to text mining to research data management. In addition to providing support for digital projects, our team of librarians and specialists offer tutorials, webinars, in-class learning opportunities, skills-based learning groups, and regular office hours.

Thinking of starting a new project or wondering how digital tools can enhance your work and expand its reach? We're here to help!


Weekly Office Hours

Fridays, 1 pm - 3 pm EST 

Members of the Price Lab for Digital Humanities and RDDS are available to offer support and guidance. 



On-Demand Tutorials

Interested in learning a new skill? Hoping to find ways to broaden the audience for your research? Wondering why you can no longer can't find the files you need on your desktop? We're here to help


Access our On-Demand Video Webinars and Written Tutorials:

Research Management Tools 

Looking for more Data Management Support, check out our Data Management Resource page.

Visualized Data for Academic and Non-Academic Audience

Looking for more ArcGIS and Mapping, check out our Data & GIS page.

Humanistic Data Science 

Broaden Your Research’s Impact:

Ethics and Pedagogy 

Archived Workshops

Didn’t find what you were looking for? Check out our archive of tutorials, webinars, and training to get you up to speed. 

Archived Workshops (Arranged by Skill)

Computational Text Analysis

Data Management

Exhibits and Web Design




Contact Us

Schedule a Time with Us in Office Hours

Scott Enderle​ Digital Scholarship Librarian - Text and Data

Cassandra Hradil | Digital Humanities Specialist |

Emily Esten | Kaplan Curator of Judaica Digital Humanities |

Girmaye Misgna | Mapping and Geospatial Data Librarian |

Jaj Karajgikar | Applied Data Science