Research Guides: Digital Humanities: Open Knowledge

Open Knowledge at NYU

As of September 1, 2025, Digital Scholarship Services (DSS) and Scholarly Communications and Information Policy (SCIP) have merged to become Open Knowledge.

Please contact us if you would like to schedule a consultation.

Consultations
Request a consultation with Open Knowledge at any stage of your project, whether you are deciding what tool to use, what courses to take, or what funding to pursue.
Scholarly Communication Guide
The Scholarly Communication Guide provides information and resources relating to scholarship and publishing, as well as links to primary resources, including Copyright, Research Data Policies, Open Education, and more!
Faculty Digital Archive
The Faculty Digital Archive (FDA) is a highly visible repository of NYU scholarship, allowing digital works—text, audio, video, data, and more—to be reliably shared and securely stored. The FDA provides stable, long-term public access to digital content produced by eligible members of the NYU community
UltraViolet
UltraViolet is part of a suite of repositories at New York University that provide a home for research materials, operated as a partnership of the Division of Libraries and NYU IT's Research and Instruction Technology. UltraViolet provides faculty, students, and researchers within our university community with a place to deposit scholarly materials for open access and long-term preservation. UltraViolet also houses some NYU Libraries collections, including proprietary data collections
NYU Web Publishing
NYU’s Web Publishing Service lets you build websites to run your course, research project, or online portfolio. Whether you need a quick site for a class or a long-term solution for your program, use this platform to have a valuable presence online.

Data Services

Data Services provides consultations, instruction, and infrastructure for students, researchers, and instructors in their research computing work. They offer free classes to current members of the NYU community (staff, students, researchers, faculty) to learn a range of quantitative-, qualitative-, survey-, and geographic information systems (GIS)- software, as well as core principles of data and code management and sustainability of research materials.