Digital Scholarship
Data Management and Planning
Organizing, storing, and keeping track of research materials and data is a growing area of concentration in the Digital Scholarship group.
Developing Methods, Projects, and Digital Humanities
From consultation to collaboration, we will work with you to make decisions about new methods and approaches.
- Classroom application of digital methodologies (coming soon!)
- Omeka and Scalar (coming soon)
- Text and data mining
Open Access & Publishing
Whether you want to make your previously published materials more discoverable or start your own publication, the Digital Scholarship Team is here to support you in your endeavors.
We can help you find, create, and analyze maps and geospatial data, provide consultation and instruction on spatial projects, and guidance on appropriate software and tools.
People
Girmaye Misgna
Mapping & Spatial Data Librarian
gmsigna@upenn.edu
Girmay supports faculty and students who are engaging with spatial methods, bringing deep technical expertise in both GIS and platform development to that work.
Scott Enderle
Digital Humanities Specialist
enderlej@sas.upenn.edu
Scott specializes in statistical text analysis, machine learning, and data visualization. Contact him with questions about using new technologies and large collections of data for humanities research and teaching.
Emily Esten
Judaica Digital Humanities Coordinator
Margaret Janz
Scholarly Communications and Data Curation Librarian
mjanz@upenn.edu
Margaret specializes in organizing, documenting, and saving data; contact her for questions about data management planning.
Kenny Whitebloom
Digital Scholarly Publishing Librarian
kenwhi@upenn.edu
Kenny manages the operations of ScholarlyCommons, a repository for the scholarly output of researchers at Penn. He specializes in digital publishing and open access. Contact Kenny if you’re interested in contributing to ScholarlyCommons, or if you would like to find out more.
Jennifer Garcon
Bollinger Fellow in Public and Community Data Curation
Jennifer helps to develop and expand sustainable models for the care of vulnerable collections of data.