Research Data Coordinator: Open Scholarship & Reproducibility

The University of Texas at Austin; Austin (TX); On-site; USD 58,000 - 70,000; Full time

Job summary

The University of Texas Libraries is seeking a Research Data Coordinator to join the Research and Scholarship team on the UT Austin campus. The role supports researchers in publishing data, offering consultations, and building guides and scripts to streamline data workflows.

You will work with the Texas Data Repository and UT community to promote open scholarship, curate datasets, and advance FAIR principles while coordinating events and training.

Qualifications

• Graduate degree in library science or related field.
• At least 4 years of research data experience in professional roles or graduate study.
• Experience with data publication, repositories, curation, or reproducibility.
• Familiarity with open scholarship and data management.
• Programming in Python, R, or JavaScript.
• Strong interpersonal and collaborative skills with clear communication.
• Willingness for continual learning and professional development.

Responsibilities

• Provide consultation, workshops, and guides for publishing research data.
• Review data, metadata, code, and documentation in the UT Austin Dataverse.
• Develop scripted tools to support repository use and act as liaison to the Texas Data Repository Steering Committee.
• Track publishing metrics and contribute to data discovery and reproducibility.

Skills

Research data management

Open scholarship

Python

R

JavaScript

Interpersonal skills

Written communication

Learning agility

Education

Graduate degree in library science

Tools

Dataverse

GitHub

Metadata standards

Job description

The University of Texas Libraries is seeking a Research Data Coordinator to join the Research and Scholarship team on the UT Austin campus. The role supports researchers in publishing data, offering consultations, and building guides and scripts to streamline data workflows.

You will work with the Texas Data Repository and UT community to promote open scholarship, curate datasets, and advance FAIR principles while coordinating events and training.