What is Research Data Management?
Research Data Management, management of research data.
Scope and Application
Artificial intelligence-based concepts provide prediction and decision support by uncovering patterns in data, but do not replace decision-making.
Role in Decision Support
In the context of artificial intelligence, research data management is evaluated alongside model quality, data quality, compliance with KVKK, and principles of explainability.
In Brief
In summary, research data management is one of the building blocks that constitute the digital maturity of a healthcare institution; it is an approach that generates value when properly structured, rather than a singular tool.
To see this concept in context, you can refer to the AI-Supported Hospital Management guide, and return to the Digital Dictionary page for other terms.
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What is Research Data Management?
Management of research data.
How is Research Data Management used in AI-supported processes?
Research data management plays a role in transforming clinical and operational data into insights; it does not make the decision but supports the decision of the relevant teams.
Who is concerned with Research Data Management?
Research data management is of interest to teams working in the field of Artificial Intelligence, primarily data/analytics teams and managers seeking decision support.