Summary
Vicky Rampin is a research data management and reproducibility librarian with a decade of experience helping researchers and institutions make scientific data discoverable, reusable, and preservable. Based at NYU Libraries, she provides instruction, consultations, and infrastructure development for RDM practices and supports the Moore-Sloan Data Science Environment partnership, bridging data science and library domains. Her NDSR project at the American Museum of Natural History produced a practical metric and interview-based survey to predict ongoing curation needs—a concrete tool for planning long-term preservation of scientific digital assets. With dual training in computer science and library science and hands-on experience building web and database tools, she combines technical fluency with archival strategy to tackle interdisciplinary data challenges. Ambitious about becoming a digital archivist, she brings a rare mix of curator empathy, engineering skills, and programmatic evaluation to institutional data stewardship.
10 years of coding experience
Dipolma, General Education, 3.5, Dipolma, General Education, 3.5 at Hamilton-Wenham Regional High School
Master's degree, Computer Science, 3.53, Master's degree, Computer Science, 3.53 at New York University
Master of Library & Information Science (MLIS), Library and Information Science, 3.85, Master of Library & Information Science (MLIS), Library and Information Science, 3.85 at Simmons College
Certification of Irish Studies, Celtic Studies, Certification of Irish Studies, Celtic Studies at University College Cork
English, Italian, Irish