|Mondays:||12pm - 6pm|
|Tuesdays:||12pm - 6pm|
|Wednesdays:||12pm - 6pm|
|Thursdays:||12pm - 6pm|
|Fridays:||12pm - 6pm|
Data Services workstations are available for walk-in use whenever the library stacks are open.
If you have a question, you can also e-mail us: email@example.com
Call: (212) 998-3434
ATLAS.ti 8 Windows
You can find Atlas.TI 8 for Windows in the Data Services Lab on the 5th floor, south side, of Bobst Library. If you are off-campus, you can use the NYU Virtual Computer Lab (VCL) to access ATLAS.ti. Alternatively, you can always purchase a license on the ATLAS.ti website.
NVivo 12 Windows
You can find NVivo 12 for Windows in the Data Services Lab on the 5th floor, south side, of Bobst Library. Alternatively, you can always purchase a license on the NVivo website.
For your qualitative data analysis needs, Data Services supports NVivo and ATLAS.ti software applications. Currently, NVivo and ATLAS.ti installed on computers in the NYU Bobst Library's Research Commons on the 5th floor. ATLAS.ti is also available on the Virtual Computer Lab for NYU students.
Warning regarding the VCL: Please be sure you are familiar with successfully saving your when working on the VCL before you begin coding. We have several incidents of loss to data due to issues in saving materials, therefore it is best for users to export the project bundle if they want a copy on their personal computer. We recommend you access the VCL using Chrome or Firefox, given we have had issues with the Safari browser.
Instructions are here for Atlas.ti users, who will need to export their project bundle to Apporto's desktop, which will then allow them to download the file to their computer.
We offer a number of classes each month, which can be found at: https://guides.nyu.edu/DS_class_calendar. For help deciding which qualitative data analysis software to use, attend our general monthly information session: What Qualitative Data Analysis (QDA) Software to Use?
|In-Person Consultations||You can also make an appointment to meet with a qualitative data specialists by yourself or with your group via this appointment form: https://guides.nyu.edu/appointment|
Whom we can help: