Natalie Meyers, MA, MLIS
Roles
- Research Specialist - Research Data Services
- Member - GO FAIR US
- Researcher in Residence - Artificial Intelligence, Association of Research Libraries (ARL)/Coalition for Networked Information (CNI)
- Co-Principal Investigator - Developing an Advanced and Secure Environment for Data Visitation across the RDA
- Co-Principal Investigator - Building Scholarship to Enable the Future of Computational Democracy
- Co-Chair - Artificial Intelligence and Data Visitation Working Group, Research Data Alliance
Biography
Meyers’ research focuses on FAIR data management and software preservation for computationally intensive research and on the strategic implications of artificial intelligence (AI) for data repositories and research libraries. In addition to her role at SDSC, Meyers is the first researcher in residence for the Association of Research Libraries (ARL) and the Coalition for Networked Information (CNI), where she focuses on the strategic implications of AI for research libraries and furthers the Association’s research, advocacy, and tracking of machine learning, deep learning, AI, and generative AI. Meyers served as Professor of the Practice at the Lucy Family Institute for Data and Society, and as E-Research Librarian at the Navari Family Center for Digital Scholarship at the University of Notre Dame. Prior to that, she was co-owner of Content Innovations, LLC a California certified woman-owned small business offering information systems consultancy based in San Francisco. Meyers started her career as a programmer analyst and GIS specialist at UC Berkeley. Natalie holds an MLIS from the University of California, Berkeley with a concentration in database design and systems analysis; an MA in English from the University of Wisconsin–Milwaukee; and a BA in philosophy and English from DePauw University.
Expertise
- AI Governance
- FAIR Data Management
- Digital Transformation
- Open Science
- Software Preservation
- AI in Repositories and Research Libraries
Current Projects
- Open Science Framework - OSF is a free, open platform to support research and enable collaboration