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Data Services

NYU Libraries and IT support for computational and data-driven research.

Welcome to Data Services

Welcome to Data Services – your go-to resource for unlocking the power of data at NYU! Whether you're a current student, faculty, or staff member, our team is here to support your journey at any and all points along the research data lifecycle. We assist with access to resources, data-related teaching and learning, preserving and sharing computational research, and much more. Find upcoming Data Services tutorials and events on NYU Libraries' Classes and Workshops calendar or sign up for our Data Services' e-newsletter to stay up-to-date. Explore the world of data with us!

Research Data Lifecycle

Circular diagram of the Research Data Lifecycle. Each phase is a section of the circle and arrows point in a clockwise direction indicating the move from one phase to the next in order of Plan, Acquire, Process, Analyze, Outputs, and Preserve.

The Research Data Lifecycle illustrates how data moves through the various phases of a research project and is set-up for reproducibility and reuse by other researchers. Our team works collaboratively to support all stages of the research data lifecycle:

  1. Plan - create a plan to securely manage your data from start to finish
  2. Acquire - gather the data you need and ensure use is approved and appropriate
  3. Process - organize and prepare your data for analysis
  4. Analyze - draw conclusions from your data in conjunction with your other sources
  5. Outputs - represent or publish your data and/or process 
  6. Preserve - deposit your data, code, and/or custom software for long-term preservation and re-use

Affiliated Services

High-Performance Computing (HPC)

NYU High Performance Computing provides access to state of the art supercomputer hardware and cloud services to eligible faculty and students across all of NYU. HPC regularly offers classes orienting newcomers to using HPC systems; check the class offerings by HPC on the main Library classes feed.

JupyterHub for Instruction

The NYU Instructional Tools for Coding service team offers a centralized JupyterHub deployment for course instructors. Access to the JupyterHub environment is granted by request each semester for faculty for their courses. Instructions on how to request and use the JupyterHub service are available on the NYU IT knowledge base.

Digital Studio

The NYU Digital Studio helps scholars create, use, store, and share multimedia materials (video, audio, text, images) for their research, teaching, and learning. Scholars work hands-on with Digital Studio hardware, software, and online tools to accomplish their projects. The Digital Studio trains users on the tools and software to accomplish their work, and it consults on best practices, project scoping and design. The Digital Studio is available to NYU faculty, students, and staff. An NYU NetID is required for access.

Research Workspace

Research Workspace, a collaborative service led by Digital Library Technology Services and Data Services, offers mountable storage for projects requiring high capacity storage for data during the active analysis stage of research projects. The services is provided by request, and is available for faculty or faculty-sponsored researchers.