http://hdl.handle.net/2451/38184 2026-04-03T23:06:37Z http://hdl.handle.net/2451/61728 Title: ReproZip - reprounzip-vagrant images archive Authors: Various 2021-03-09T00:00:00Z http://hdl.handle.net/2451/60881 Title: Example ReproZip package -- Digit segmentation and recognition with scikit-learn and OpenCV Authors: Rampin, Remi 2016-01-01T00:00:00Z http://hdl.handle.net/2451/60880 Title: Careers of Data Scientists: Report from 13 Academic Institutions Authors: Katz, Luba Abstract: The goal of this study was to document professional duties, challenges, and aspirations of staff data scientists in academia. The study subjects were recommended by leaders of data science entities at dozens of US universities and by data scientists. Of the 72 candidates suggested, 46 met our inclusion criteria and 33 (72%) agreed to a telephone interview. The data presented in this report are based on 28 interviews. 2019-10-01T00:00:00Z http://hdl.handle.net/2451/38185 Title: Collaborating to Create a Culture of Data Stewardship Authors: Steeves, Vicky; Read, Kevin B.; Gordon, Andrew S. Abstract: Our poster discusses the ways in which we collaborate across the institution to provide comprehensive data management services by identifying overlap, making connections between service offerings, and sharing knowledge and resources around data to enrich the overall mission and strategy of NYU libraries to serve its student and research communities.The new collaboration between NYU Data Services, NYUHSL and special projects like Databrary has served to break down existing institutional silos to provide better research and educational data services to NYU’s student and research communities. This collaboration has been essential for improving upon existing services, identifying new opportunities to support the data needs of institutional stakeholders, and providing increased levels of outreach. By fostering a better understanding of what data services are available across campuses through this ongoing collaboration, we are better able to identify and support our communities’ data needs. 2016-05-04T00:00:00Z