Explore the latest research published through Frontiers FAIR² Data Management: reusable, AI-ready, and citable datasets designed to accelerate discovery and maximize impact across disciplines.
DSPM delivers insight, but it doesn't automatically follow that organizations can turn insight into tangible improvement.
April 8-12 meeting in Charlotte, NC highlights debridement, mobile wound care education, and evidence-based clinical ...
If data could pull up a chair in the C-suite, I can tell you that the conversation wouldn’t start with dashboards. It would ...
After algae and nuisance weeds persisted on Chautauqua Lake this past summer, Saturday’s Chautauqua Lake Symposium, hosted by ...
Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive ...
Objective: This study aimed to compare 3 clinical data management architectures—clinical data warehouses, clinical data lakes, and clinical data lakehouses—by analyzing their performance using the ...
Abstract: Data management is indispensable for informed decision-making in the big data era. In the meantime, Large Language Models (LLMs), equipped with billions of model parameters and trained on ...
Abstract: Machine learning techniques have been proposed to optimize data management in recent years. Compared with traditional empirical data management, learning-based methods extract knowledge from ...
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