An Annotation Workbench for Semantic Annotation of Data Collection Instruments.

Area of Science:

• Health Informatics
• Data Science
• Epidemiology

Background:

• Semantic interoperability is crucial for analyzing diverse health data sources.
• Interoperability of data collection instruments (CRFs, questionnaires) is vital for clinical and epidemiological studies within the National Research Data Infrastructure for Personal Health Data (NFDI4Health).
• Retrospective semantic coding of study metadata is essential for preserving valuable information in ongoing or completed studies.

Purpose of the Study:

• To present the first version of a Metadata Annotation Workbench.
• To support annotators in managing complex terminologies and ontologies for health research data.
• To address NFDI4Health use cases by facilitating semantic metadata annotation.

Main Methods:

• User-driven development involving experts in nutritional epidemiology and chronic diseases.
• Creation of a web-based application accessible via a standard web browser.
• Development of the software under an open-source MIT license.

Main Results:

• A functional Metadata Annotation Workbench has been developed.
• The workbench is designed to handle diverse and complex terminologies and ontologies.
• User feedback confirmed the tool meets basic requirements for semantic metadata annotation in NFDI4Health contexts.

Conclusions:

• The Metadata Annotation Workbench is a valuable tool for enhancing semantic interoperability in health research.
• The software supports the retrospective annotation of study metadata, preserving data integrity and utility.
• The open-source nature and web accessibility promote widespread adoption and collaboration in health data research.