Natalie Meyers serves as CNI/ARL AI researcher in residence. She focuses on the strategic implications of artificial intelligence (AI) for research libraries, furthering the Association’s research, advocacy, and tracking of machine learning (ML), deep learning, AI, and generative AI. Reporting to the ARL senior director for Scholarship, Policy, and Engagement Strategy and working closely with CNI leadership, Natalie plays a key role in the ongoing collaboration between CNI and ARL around AI/ML technologies and applications.
In addition to her role at ARL/CNI, Meyers is a research specialist at SDSC and previously was professor of the practice at the Lucy Family Institute for Data & Society , and prior to that as e-research librarian at the Navari Family Center for Digital Scholarship at the University of Notre Dame. She has co-chaired the Artificial Intelligence/Data Visitation Working Group of the Research Data Alliance (RDA) and is co-author of the group’s AI Bill of Rights Recommendation.
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.
Mission The mission of the AIDV-WG is to contribute to building the ethical, legal, social, and technical frameworks for Artificial Intelligence while examining the potential of data visitation to bri...
The Exposing DMPs WG group is being retired. To participate in current RDA effort on Data Management Plans, please join the Active DMPs IG.
Recommendations
The Exposing DMPs draft recommendations res...
This is the subgroup of the RDA-COVID-19 working group focusing on Omics.
Useful Information for RDA COVID-19 Omics Subgroup
Omics subgroup priorities:
A set of guideline documents, highlighting th...
The proposed activity of this group is to act as a nucleus for discussing requirements for and identifying developments needed to support active (i.e. able to evolve and be monitored) data management ...
The Data Citation WG maintains the RDA Recommendation for Precise, Actionable Reference to Dynamic Data:
Rauber, A., Parsons, M., & RDA Data Citation WG. (2025). Precise, Actionable Reference to D...
⭐️ Overview
See all working group sessions dates and times below
The Data Director Agentic AI Blueprint Working Group is a time-bound, eight-week initiative convened by the Research Data Alliance ...
Developing from demand expressed at the RDAP25 BOF, this interest group will allow RDA members to share lessons learned while adapting, adopting, and piloting the international dataspace protocol and ...
In a nutshell
This group produced a recommendation on machine-actionable DMPs.
recommendation: https://doi.org/10.15497/rda00039
full documentation: https://github.com/RDA-DMP-Common/RDA-DMP-Common...
RDA Domain Repositories Interest Group
The Domain Repositories Interest Group will bring together active data repositories that serve specific scientific disciplines. Domain repositories provide arc...