We will be refreshing our subscription to ATLAS.ti on October 1, 2026. To continue using our network license, you will need to rejoin by filling out this form. Users will have to re-request access at the beginning of each semester. This allows us to ensure seats are available for current NYU members. Please email us if you have any questions.

NYU researchers now have access to LabArchives, a secure, cloud-based electronic lab notebook (ELN) designed to make research documentation more organized, collaborative, searchable, and reliable. Available to the NYU community through NYU NetID single sign-on, LabArchives helps research teams centralize lab documentation, maintain version histories and backups, support data integrity and continuity, and meet emerging research documentation requirements.

Following a successful summer pilot, LabArchives is now available university-wide, with support from a cross-NYU team representing NYU IT, NYU Libraries, and the Office of the Vice Provost for Research. Researchers can sign-up for an upcoming training session or get started today by logging in at here. Questions? Email the NYU support team. 

Our friends over at the Wasserman Center for Career Development are hosting a Data Careers virtual panel on Monday, September 28th from 5-6:30pm. They have confirmed panelists from: Daiichi Sankyo, Dandy, Bank of America, Advanced Portfolio Management, Netflix. Register for the event here.

Image Credit: International Open Access Week

Data Services is excited to co-sponsor NYU’s Open Access Week, an annual international event that builds awareness about the benefits of open data, open scholarship, open science, and more. Join us at Bobst Library for a fun activity in the atrium on October 21st, learn about how student-run journals can join the open publication ecosystem on October 23, and over in Brooklyn for a special Dibner Discussion on open access on October 29 (we’ll have pizza at both events!)

Image Credit: datacarpentry.org

Ready to level up your data skills? Join us for a two-day Data Carpentry workshop on November 9 and 10. Using a social science-themed dataset, we’ll explore data preparation techniques and learn useful programming languages and platforms for data manipulation and analysis like R and OpenRefine.There are no prerequisites, and the materials assume no prior knowledge.

This workshop is a valuable training opportunity for anyone at NYU whose work or research increasingly includes data management and analysis activities. The Carpentries curriculum is an established and proven instructional program that accommodates a wide range of learners and aims to impart real-world usable skills to participants.

Date: November 9-10, 2026
Time: 10 am - 4 pm
Location: Bobst Library, Room 743

Register for the workshop's limited seats.The full course schedule and setup instructions can be found here.

Mark your calendars! We are getting ready to celebrate International GIS Day on Wednesday, November 18, 2026 (GIS = Geographic Information Systems)! This year's theme, "GIS: Powering Purpose and Innovation," highlights how geospatial technology transforms data into meaningful action. Whether you are a GIS pro, a data enthusiast, or just curious about the power of maps and spatial thinking, we look forward to exploring  geospatial possibilities with you!

Keep an eye out for event schedule, venue details, and RSVP info coming your way soon. You can check out last year's program here.

Map Competition Gallery, GIS Day 2025.
Image Credit: NYU Data Services

Do you and your colleagues have emerging research technology needs? Are you interested in learning how to suggest research technology projects to IT and other central teams? Do you want to have a voice in the future of research technology services at NYU?

Then please join representatives from the Office of Research, NYU IT, and Division of Libraries for an information session about the research technology services and infrastructure available to you, and the research technology budget needs request process. This is YOUR opportunity to express your research technology needs and help us enhance NYU’s infrastructure and capabilities.  Please join us at one of two information sessions to learn more:

Already have an idea? Submit it now using the FY28 Research Technology Needs Request Form. Proposals are due October 12, 2026.

Photo Credit: NYU Data Services

Data Services’ classes are in full swing (check our calendar to see what we offer) which means there’s still time to become a member of our elite Mug Club! All you have to do is attend 3 of our tutorials–at least one in person–to get your FREE limited edition Data Services mug.

Find full details on how to join our club on our website.

CQ Voting & Elections Collection integrates a wealth of data, authoritative analyses, concise explanations, and historical material to provide a powerful research and reference tool on the American voter, major and minor political parties, campaigns and elections, and historical and modern races for Congress, the presidency, and governorships.

"Datasets donʼt always fit neatly into a single category, which is why the semiaquatic, egg-laying mammal called the duck-billed platypus is this Field Guideʼs mascot." The Federal Data Field Guide is a free resource created by former senior White House data officials that provides an overview of the federal data ecosystem along with real world applications and uses of these data. This helpful quick reference includes eight different data types, the legal and governance landscape, and acronyms you'll find when looking for and working with various federal agencies. View it on their website or download the free PDF for future.

Photo Credit: Pippi de Bree

Q. What's your name, program, and year?
A. Pippi de Bree, Master's in Applied Statistics for Social Science Research, Class of 2027

Q. What's your service area at Data Services and how long have you worked here?
A.I am a Quantitative Student Specialist, supporting R and Stata, and have worked at Data Services since May.

Q. What do you like most about working at Data Services?
A. Getting to support the vast range of research done by members of the NYU community. Any day at Data Services can include supporting work in a domain that is completely new to me. I also really enjoy teaching our students, their passion and engagement make for great classroom experiences. 

Q. Describe your favorite data-related project that you've worked on.
A. In the fall I worked on a project comparing the efficacy of crowd sourced content moderation on X with LLM generated moderation. Social media platforms have begun to include AI in their content moderation processes, so we wanted to explore potential differences between LLM and human content moderation. We focused on 4 highly contentious topics, giving us non-trivial cases which exposed the limitations and biases of either method. Ultimately, we found some serious divergences in how posts were evaluated but concluded that, if LLMs are to be integrated, it should be in a collaborative sense - rather than replacing human content moderation altogether.

Q. What's your favorite place to get a meal or a snack near Bobst Library?
A. I'm excited for the weather to change so I can get ramen at Karrakatta on Thompson!

Thanks for reading! We hope to see you soon on the 5th floor at Bobst, at Dibner Library, or online.

- Your friends at Data Services