Research Data Management Specialist

Overview

This position provides research data management expertise to the Princeton research community. The RDM specialist is responsible for working as part of Princeton Research Data Service (PRDS) to fulfill PRDS’s mission of providing the Princeton research community with the expert services and infrastructure needed to store, manage, retain, and curate digital research data, and to make research data available to the broader research community and to the public. This position will provide critical support for active research data management by supporting the TigerData project and TigerData users; providing educational programming, RDM services, metadata guidance, process-oriented solutions, and engaging TigerData research communities through outreach activities.

Responsibilities

Research and Teaching Support (50%)

• Provide timely and informative research and reference consultations and instruction to Princeton researchers interested in Open Data and Research Data Management
• Create and implement pedagogical programming, including workshops, teaching, and lecturing
• Develop and promote the use of research materials
• Serve as a Library liaison for research data management and open data; provide research support to faculty, students, and visiting scholars engaged in research in relevant areas
• Work with faculty and students to make physical and digital resources
• Engage with campus and external communities

Data Curation and Data Management Services (30%)

• Work collaboratively to develop and maintain research data management tools and services within the University infrastructure, and support and sustain their effective use
• Work with researchers on data management tasks, including evaluation of data planning needs, assessing options for sharing data, and planning to specific granting agency or publisher requirements. Provide data curation services

Professional Development and Service (20%)

• Track specific scientific and subject domain areas building knowledge and expertise in data types, formats, and needs within domains that support data management and sharing throughout the research lifecycle
• Identify new and evolving data standards, metadata standards, and best practices for data management. Maintain knowledge on a broad range of data repositories including their submission, intellectual property, and use arrangements, and provide guidance on repository selection for deposit
• Engage with peer institutions and communities to develop and promote data standards, best practices, and tools
• Engage in professional development by participating in relevant professional organizations, research activities, collaborative projects, and skills development at local, regional, national, and international levels
• Participate in PUL and University working groups, committees, task forces and affinity groups, as appropriate or assigned, to advance PUL’s Mission, Vision, North Star statements, and DEI Statement
• Represent Princeton University in the relevant regional, national, and international professional and scholarly organizations

Qualifications

• 5+ years combined of library, information technology, informatics, and/or research experience
• Experience with developing and conducting training, teaching, and/or workshop presentations
• Experience with and knowledge of methods and best practices for research data management and/or data and code curation and archiving
• Experience working with research data infrastructure (eg., data repositories, high-performance computing, data storage systems) and large and/or complex data sets
• Experience creating and/or reviewing data management plans
• Strong technical skills with a high degree of comfort and willingness in learning new technologies and develop skills in others
• Must be self-motivated, proactive, and willing to take on new challenges and solve problems with minimal supervision
• Excellent organizational skills, interpersonal and collaboration skills, and a collegial, team-oriented approach
• Excellent communication skills