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Vicky Rampin

Visiting Assistant Professor

headshot of woman smiling
Email
vsteeves@pratt.edu
Phone
212.647.7682
Websites
Personal website
ORCID
NYU faculty profile
Pronouns
She or they

Vicky Rampin is the Librarian for Research Data Management and Reproducibility and subject specialist for data science and computer science at New York University. They teach INFO-628 at Pratt, Data Librarianship and Management, every fall semester.

At NYU, Vicky supports researchers of all levels and disciplines in creating well-managed, reproducible scholarship through instruction, consultation, outreach, and infrastructure building. Their research centers on data and software preservation in service of long-term reproducibility, as well as how best to individualize reproducibility best practices. Vicky loves all things open and contributes to a number of open projects, such as Taguette (qualitative data analysis) and ReproZip (computational reproducibility).

Master of Computer Science, New York University, August 2022

Master of Library and Information Science, Simmons College, August 2014

Bachelors of Science in Computer Science and Information Technology, Simmons College, May 2013

Projects:

Publications:

  • Genevieve Milliken, Sarah Nguyen, and Vicky Steeves. A Behavioral Approach to Understanding the Git Experience. In Hawaii International Conference on System Sciences. January 2021. URL: http://hdl.handle.net/10125/71493, doi:10.24251/HICSS.2021.872.
  • Vicky Steeves, Rémi Rampin, and Fernando Chirigati. Reproducibility, preservation, and access to research with ReproZip and ReproServer. IASSIST Quarterly, 44(1-2):1–11, June 2020. Number: 1-2. URL: https://iassistquarterly.com/index.php/iassist/article/view/969, doi:10.29173/iq969.
  • Karl Blumenthal, Peggy Griesinger, Julia Kim, Shira Peltzman, and Vicky Steeves. What’s Wrong with Digital Stewardship: Evaluating the Organization of Digital Preservation Programs from Practitioners’ Perspectives. Journal of Contemporary Archival Studies, August 2020. URL: https://elischolar.library.yale.edu/jcas/vol7/iss1/13.
  • Kelly Johnson and Vicky Steeves. Research Data Management Among Life Sciences Faculty: Implications for Library Service. Journal of eScience Librarianship, October 2019. URL: https://escholarship.umassmed.edu/jeslib/vol8/iss1/7, doi:10.7191/jeslib.2019.1159.
  • Katherine E. Boss, Vicky Steeves, Remi Rampin, Fernando Chirigati, and Brian Hoffman. Saving Data Journalism: Using ReproZip-Web to Capture Dynamic Websites for Future Reuse. In iPres 2019. LIS Scholarship Archive, September 2019. URL: https://osf.io/preprints/lissa/khtdr/, doi:10.31229/osf.io/khtdr.
  • Remi Rampin, Fernando Chirigati, Vicky Steeves, and Juliana Freire. ReproServer: Making Reproducibility Easier and Less Intensive. arXiv:1808.01406 [cs], August 2018. URL: http://arxiv.org/abs/1808.01406.
  • Vicky Steeves, Rémi Rampin, and Fernando Chirigati. Using ReproZip for Reproducibility and Library Services. IASSIST Quarterly, 42(1):14–14, 2018. Number: 1. URL: https://www.iassistquarterly.com/index.php/iassist/article/view/18, doi:10.29173/iq18.
  • Vicky Steeves. Reproducibility Librarianship. Collaborative Librarianship, July 2017. URL: https://digitalcommons.du.edu/collaborativelibrarianship/vol9/iss2/4.
  • Andreas Wolke, Martin Bichler, Fernando Chirigati, and Victoria Steeves. Reproducible experiments on dynamic resource allocation in cloud data centers. Information Systems, 59:98–101, July 2016. URL: https://arxiv.org/abs/1703.00042, doi:10.1016/j.is.2015.12.004.
  • Rémi Rampin, Fernando Chirigati, Dennis Shasha, Juliana Freire, and Vicky Steeves. ReproZip: The Reproducibility Packer. The Journal of Open Source Software, 1(8):107, December 2016. URL: http://joss.theoj.org/papers/10.21105/joss.00107, doi:10.21105/joss.00107.
  • Karl-Rainer Blumenthal, Peggy Griesinger, Julia Kim, Shira Peltzman, and Vicky Steeves. What makes a digital steward: A competency profile based on the National Digital Stewardship Residencies. In iPres 2016. LIS Scholarship Archive, October 2016. URL: https://osf.io/preprints/lissa/tnmra/, doi:10.31229/osf.io/tnmra.