Research Data Management Librarian Job at Code4lib in New Haven

Position Overview

Support discovery, use, and management of locally created and externally available data through direct contact with researchers. Lead support of the Yale Dataverse by working with Library IT, ensuring the system meets Yale’s needs, and developing an outreach program for subject librarians.

Role supports researchers from any discipline as they design and navigate research projects with complex and multifaceted data management and sharing requirements as part of the team within Computational Methods and Data.

Reports to the Head of Data Services and is a member of the Computational Methods and Data department.

Engages in Yale Library planning, committees, task forces, campus, regional, national, and international organizations, and collaborative activities. Participates in professional activities outside Yale, monitoring developments and best practices to ensure excellence of Yale’s research and learning program.

Yale Library is committed to equity, inclusion, and accessibility. Candidates whose philosophies align with these commitments and who have demonstrated success supporting diversity and inclusion are encouraged to apply.

Data services include engagement with Library IT, electronic resources, cataloging, and preservation departments on receiving data resources, hosting and preserving collection content, and preparing content for discovery. Works with the Head of Data Services to manage data storage infrastructure and handle data access requests and data from vendors.

Rank: Librarian 2 or 3 based on professional experience and qualifications. Review ranking information: Librarian Ranking

Essential Duties

1. Provide access, troubleshooting, and support to researchers for successful use of data collections, including reformatting and documentation.
2. Support researchers in depositing data to the Yale Dataverse instance, developing metadata standards and documentation.
3. Manage, contribute to, and promote data curation services in Yale Dataverse and other repositories, including disciplinary data repositories.
4. Advise on and implement scalable, sustainable, and domain‑appropriate data services in support of research at Yale.
5. Increase the visibility and usability of data resources through research consultations, workshops, course‑integrated instruction, online research guides, and outreach efforts.
6. Collaborate with subject librarians, Geospatial specialists, and staff from the StatLab, Digital Humanities Lab, and Yale Center for Research Computing to support the data and data science needs of Yale researchers.
7. Assist researchers in data management planning.
8. Provide instruction in data management issues and best practices to diverse audiences, including researchers, university staff, and library colleagues.
9. Collaborate with campus partners, including the Office of the Deputy Provost for Research, the Office of Research Administration, Yale Center for Research Computing, Yale Center for Geospatial Solutions, and the Yale Data‑Intensive Social Science Center, concerning issues of managing, curating, sharing, and preserving research data.
10. Participate in outreach and research/instruction program planning and implementation for Computational Methods and Data.
11. Participate in Yale Library planning, committees, and task forces, and engage in campus, regional, and national professional organizations.
12. Participate in professional activities outside of Yale and monitor developments and best practices elsewhere.
13. May represent Yale to state, national, and international data organizations.

Required Education & Experience

Master’s degree from an ALA‑accredited library school. In selected instances, a post‑graduate degree in a related discipline may be substituted for an MLS.

Required Skills & Abilities

1. Demonstrated ability with data management processes, technologies, standards and best practices; familiarity with trends in data management requirements from funding agencies and scholarly publishers.
2. Demonstrated excellent oral, written, and interpersonal communication and analytical ability.
3. Demonstrated ability in designing projects, leading if appropriate, and bringing them to a conclusion in a timely fashion.
4. Demonstrated ability to work collegially and cooperatively within and across organizations.
5. Demonstrated ability to work collaboratively and independently with varied groups within a complex organization and a rapidly changing team environment.

Preferred Education, Experience and Skills

Degree in engineering, math, science, or social science. Familiarity with quantitative, qualitative, and geospatial data analysis applications. Knowledge of metadata standards for quantitative and qualitative data. Demonstrated experience providing public service and instruction in an academic research library setting. Proven experience with research data repositories such as Dataverse.

How to Apply

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Contact

Rebecca Dikow: Rebecca.dikow@yale.edu

Published: Monday, May 5, 2025 21:55 UTC