- HathiTrust Research Center Seeks Proposals for Advanced Collaborative Support Projects
- Humanizing Data: Data, Humanities, and the City, Saturday, April 8, 2017
- Five Things We Learned At . . . Qualtrics Insight Summit 2017
- New Look for IPUMS Website
- Love Your Data Week 2017: Rescuing Unloved Data
- Love Your Data Week 2017: Finding the Right Data
An Emoji-Based Map of Current Weather, by Dark Sky
Love Your Data Week 2017
Love Your Data (LYD) Week has arrived, and we have more reasons than ever to love our research data this year. We expend a considerable amount of resources to building our data, making it essential that we ensure our digital research materials have a long life . . .
Saving Data: Preservation during Political Turmoil
Read up on urgent efforts by developers, coders, librarians, archivists, and activists to save and preserve data at risk as a result of current political turmoil.
Data Services Adds Georeferenced Soviet Maps
The results of a crowd-sourced georectification project within Data Services have come to fruition as the NYU Spatial Data Repository has now released its rectified collection of topographic maps of Saudia Arabia and nearby regions.
NYUAD GIS Day: Exploring Cold War-Era Maps of the UAE
GIS Day Map Hack-a-thon update: To celebrate GIS Day 2016, a group of students at NYU Abu Dhabi set out to explore a set of Soviet 1:100K maps made of the United Arab Emirates (UAE).
Introducing the 2016 GIS Day NYU Global Map Hack-a-Thon: An Exploration of Cold War Cartography
GIS Day 2016 at NYU is less than a week away and we are introducing a multi-campus hack-a-thon event. What happens when NYU's global GIS Data Services team comes together to produce a series of spatial narratives and visualizations?
Data Services Mediates Access to Gallup World Poll and U.S. Daily Tracking Respondent-Level Data
NYU Libraries has been providing access to a range of Gallup public opinion polling data through the Gallup Analytics tool and the Gallup Poll interface. Users can access public opinion data and export aggregate data at the country level.