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Smarter Data Management: Artificial Intelligence-Driven Insights and Institutional Integration in the Machine-Actionable DMPs (MAP) Project

Home / Topics / Artificial Intelligence / Smarter Data Management: Artificial Intelligence-Driven Insights and Institutional Integration in the Machine-Actionable DMPs (MAP) Project

March 20, 2025

Cynthia Hudson Vitale
Associate Dean
Johns Hopkins University

Katherine Koziar
Agricultural Sciences and Technology Librarian, Agricultural Sciences and Technology Librarian
California State University, Fresno

Maria Praetzellis
Associate Director, UC3
University of California Office of the President

Jamie Wittenberg
Assistant Dean for Research & Innovation Strategies
University of Colorado Boulder

As research data management (RDM) evolves, institutions are increasingly leveraging artificial intelligence (AI), automation, and interoperable technologies to move beyond compliance-driven models toward strategic, scalable data stewardship. The Machine-Actionable DMPs (MAP) Project, led by the Association of Research Libraries and the California Digital Library, is pioneering technical solutions that integrate AI-driven evaluation of data management plans (DMPs), facilitate cross-campus coordination, and improve research data infrastructure. Through institutional pilots at Arizona State University, the University of California Riverside, the University of Colorado Boulder, and others, the MAP Project is demonstrating how AI and machine-actionable frameworks can enhance institutional decision-making and resource alignment. This session will showcase cutting-edge developments in AI-assisted DMP evaluation, dynamic data stewardship workflows, and cross-institutional interoperability. It will explore how AI can analyze and refine DMPs to improve compliance tracking, identify gaps in institutional support, and optimize data lifecycle planning. Additionally, it will discuss emerging tools that enhance real-time communication between research offices, libraries, and IT, enabling institutions to develop more responsive and sustainable research data ecosystems.

https://www.arl.org/building-a-scalable-data-management-infrastructure-for-strategic-institutional-coordination/
https://www.arl.org/blog/insights-from-arizona-state-university-advancing-research-support-through-open-science-data-sovereignty-and-machine-actionable-plans/
https://www.arl.org/blog/arl-cdl-machine-actionable-plans-map-pilot-team-visits-university-of-colorado-boulder/
https://www.arl.org/blog/from-compliance-to-sustainable-capacity-strategic-insights-on-research-data-stewardship/
https://www.arl.org/blog/uc-riverside-machine-actionable-plans-map-team-builds-promising-communication-prototype/

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Filed Under: Artificial Intelligence, CNI Spring 2025 Project Briefings, Cyberinfrastructure, Project Briefing Pages, Research Data Management, Scholarly Communication
Tagged With: cni2025spring, Project Briefings & Plenary Sessions

Last updated:  Wednesday, May 21st, 2025

 

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