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University of Pennsylvania Digital Scholarship Profile

Home / Events / Workshops & Projects / Directions in Digital Scholarship 2023 / Digital Scholarship Participant Profiles / University of Pennsylvania Digital Scholarship Profile

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Name(s) of programs (e.g. Scholars’ Lab) and URL(s) associated with your DS program:

Research Data and Digital Scholarship https://www.library.UPenn.edu/rdds

If you have a mission statement or similar description of your program, please include it here:

The Penn Libraries Research Data & Digital Scholarship team facilitates data-driven and data-literate research and scholarship across the disciplines and fosters informed and ethical data communities at Penn.

Consultation
  • Digital technologies and tools = Offered by Library
  • Project planning = Offered by Library, Offered by Library + Partner(s)
  • Project management = Offered by Library, Offered by Library + Partner(s)
  • Building databases and archives = Offered by Library
  • Class projects/assignments = Offered by Library, Offered by other campus unit(s)
  • Copyright, intellectual property = Offered by Library + Partner(s)
  • Data management plans = Offered by Library
  • Metadata = Offered by Library
  • Locating and selecting data sources = Offered by Library
  • Researchers’ grant writing = Offered by Library + Partner(s), Offered by other campus unit(s)
  • Digital publishing and dissemination = Offered by Library, Offered by Library + Partner(s), Offered by other campus unit(s)
  • Digital preservation/curation = Offered by Library
Education/Training
  • Workshops/bootcamps on tools/software = Offered by Library, Offered by Library + Partner(s), Offered by other campus unit(s)
  • Course-related sessions related to digital projects = Offered by Library, Offered by Library + Partner(s)
  • Credit courses on digital scholarship topics = Offered by other campus unit(s)
  • Certificate programs in digital scholarship or related topic = Offered by other campus unit(s)
  • Symposia = Offered by Library, Offered by Library + Partner(s), Offered by other campus unit(s)
  • Badging = Offered by other campus unit(s)
  • Events, e.g. GIS Day = Offered by Library
  • Training in research computing: Library, Library + Partners, Offered by other campus units
  • Coding meet-ups (Python, R, mapping): Library
Facilities
  • Training/classroom space = Offered by Library, Offered by Library + Partner(s), Offered by other campus unit(s)
  • Consultation space = Offered by Library, Offered by Library + Partner(s)
  • Collaborative project space = Offered by Library, Offered by Library + Partner(s)
  • Computer/data lab = Offered by Library, Offered by Library + Partner(s)
  • Media production studio = Offered by Library
  • Visualization studio = Offered by Library + Partner(s), Offered by other campus unit(s)
  • Makerspace = Offered by Library, Offered by Library + Partner(s)
  • VR/AR studio = Offered by other campus unit(s)
  • AI lab = Offered by other campus unit(s)
  • Data science lab = Offered by other campus unit(s)
Infrastructure/Enterprise Servies
  • Digital preservation = Offered by Library
  • Large-scale data storage = Offered by other campus unit(s)
  • Digital publishing services = Offered by Library, Offered by Library + Partner(s)
  • Repositories = Offered by Library
  • Programming, writing APIs = Offered by Library + Partner(s)
  • Computational processing of data = Offered by other campus unit(s)
  • Data recovery/migration = Offered by Library + Partner(s), Offered by other campus unit(s)
  • Software licensing = Offered by Library, Offered by Library + Partner(s), Offered by other campus unit(s)
  • Virtual computing = Offered by other campus unit(s)
  • Security = Offered by Library + Partner(s), Offered by other campus unit(s)
What would you like to offer next?

Fellowship programs for global collections as data (creating Jupyter Notebooks, hosting events, training language models, creating teaching resources)

What type of staff are employed by your program?  
  • Librarians, archivists, library staff
  • Information technologists, including programmers
  • Data scientists/analysts
  • Postdocs
  • Graduate students
  • Undergraduate students
What constituencies are served by your program? 
  • Faculty
  • Postdocs
  • Graduate students
  • Community members
What disciplines are served by your program?  
  • Humanities
  • Arts
  • Social sciences
  • STEM (science, technology, engineering, math)
  • Professional (health sciences, law, business, etc.)
  • Other: Data services (DMPTool, data curation) are most in demand by health sciences faculty currently
Please provide pointers to additional materials that may be helpful in understanding the structure and work of your program.

https://old.library.upenn.edu/blogs/rdds

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Last updated:  Thursday, March 30th, 2023

 

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