A5081160689- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- Research Data Management Practices
- Electronic Health Records Systems
- Ethics in Clinical Research
- Knowledge Management and Technology
- Data-Driven Disease Surveillance
- Semantic Web and Ontologies
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Distributed and Parallel Computing Systems
- Retinal Imaging and Analysis
Universitätsmedizin Greifswald
2014-2023
Data provenance has raised much attention across disciplines lately, as it been shown that enrichment of data with information leads to better credibility, renders more FAIR fostering reuse. Also, the biomedical domain recognised potential capture. However, several obstacles prevent efficient, automated, and machine-interpretable information, such heterogeneity, complexity, sensitivity. Here, we explain how in Germany clinical are transferred from hospital systems into a integration centre...
Background: Retrospective research on real-world data provides the ability to gain evidence specific topics especially when running across different sites in networks. Those networks have become increasingly relevant recent years; not least due special situation caused by COVID-19 pandemic. An important requirement for those is harmonization ensuring semantic interoperability. Aims: In this paper we demonstrate (1) how facilitate digital infrastructures run a retrospective study network...
In most research projects budget, staff and IT infrastructures are limiting resources. Especially for small-scale registries cohort studies professional support commercial electronic data capture systems too expensive. Consequently, these use simple local approaches (e.g. Excel) instead of a central management including web-based proper databases. This leads to manual processes merge, analyze and, if possible, pseudonymize different study sites. To multi-site capture, storage analyses in...
Background Multisite clinical studies are increasingly using real-world data to gain evidence. However, due the heterogeneity of source data, it is difficult analyze such in a unified way across clinics. Therefore, implementation Extract-Transform-Load (ETL) or Extract-Load-Transform (ELT) processes for harmonizing local health necessary, order guarantee quality research. development time-consuming and unsustainable. A promising ease this generalization ETL/ELT processes. Objective In work,...
The TMF (Technology, Methods, and Infrastructure for Networked Medical Research) Data Protection Guide (TMF-DP) makes path-breaking recommendations on the subject of data protection in research projects. It includes comprehensive requirements applications such as patient lists, pseudonymization services, consent management services. Nevertheless, it lacks a structured, categorized list simplified application projects systematic evaluation. 3LGM2IHE ("Three-layer Graphbased meta model -...
<sec> <title>BACKGROUND</title> Multisite clinical studies are increasingly using real-world data to gain evidence. However, due the heterogeneity of source data, it is difficult analyze such in a unified way across clinics. Therefore, implementation Extract-Transform-Load (ETL) or Extract-Load-Transform (ELT) processes for harmonizing local health necessary, order guarantee quality research. development time-consuming and unsustainable. A promising ease this generalization ETL/ELT...
<sec> <title>BACKGROUND</title> Metadata are created to describe the corresponding data in a detailed and unambiguous way is used for various applications different research areas, example, identification classification. However, clear definition of metadata crucial further use. Unfortunately, extensive experience with processing management has shown that term “metadata” its use not always unambiguous. </sec> <title>OBJECTIVE</title> This study aimed understand challenges resulting from...