Work

FAIRifying in Intensive Care: From Raw Data to HDF5 with Semantic Annotation and Data Quality Checks

Year: 2025

Type: book-chapter

Abstract: The heterogeneity of formats and quality levels of intensive care data represents a significant challenge for both patient treatment and scientific research. The introduction of a data format that provides unified access and a rich structure of metadata could enhance data analysis in this area. Therefore, a data structure based on HDF5 is proposed, which divides data into smaller segments and extends the metadata with semantic annotation and data quality indicators.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250421

Authors: Karoline Schmitt, Jonas Biehler, Kei Müller, Markus A. Weigand, Martin Dugas, Rosa Klotz, Jan Larmann, Christian Niklas

Institutions: Heidelberg University, RWTH Aachen University

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410448388

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