These data models are usually developed to serve a specific purpose or process and can be difficult to extend beyond their original scope. Several “common” data models for clinical data representation have been developed 3, 4, 5 to standardise recorded information, but there are still problems with sharing and reusing clinical resources 6. Often, the intended meaning of a data resource is difficult to understand, and merging data from different sources is extremely challenging due to the lack of common data dictionaries and the variety of ways in which metadata are represented. This fragmentation and diversity make it time-consuming to access, combine and use data from various hospitals, laboratories, or other data providers. The meaning of the data is often hidden behind local formats or proprietary standards from electronic health record (EHR) vendors 1, 2. Health data, from routine clinical data and imaging data to sensor and multiomics, are often highly heterogeneous and stored in different databases (or silos). ![]() Researchers in Switzerland have access to FAIR health data for further use in RDF triplestores.Ī large amount of data is generated daily by a variety of health care providers and individuals, representing potentially valuable information for personalised health research, public health, improvement and monitoring of health care quality. Data providers can now efficiently deliver several types of health data in a standardised and interoperable way while a high degree of flexibility is granted for the various demands of individual research projects. As a result, the SPHN Resource Description Framework (RDF) schema was implemented together with a data ecosystem that encompasses data integration, validation tools, analysis helpers, training and documentation for representing health metadata and data in a consistent manner and reaching nationwide data interoperability goals. We built a common standard infrastructure with a fit-for-purpose strategy to bring together health-related data and ease the work of both data providers to supply data in a standard manner and researchers by enhancing the quality of the collected data. Dieses Recht steht ihnen jedoch nur zu, wenn sie glaubhaft machen, dass durch die Verschmelzung die Erfüllung ihrer Forderung gefährdet wird.The Swiss Personalized Health Network (SPHN) is a government-funded initiative developing federated infrastructures for a responsible and efficient secondary use of health data for research purposes in compliance with the FAIR principles (Findable, Accessible, Interoperable and Reusable). 3 UmwG bekannt gemacht worden ist, ihren Anspruch nach Grund und Höhe schriftlich anmelden, Sicherheit zu leisten, soweit sie nicht Befriedigung verlangen können. ![]() Nicht eingetragen: Den Gläubigern der an der Verschmelzung beteiligten Rechtsträger ist, wenn sie binnen sechs Monaten nach dem Tag, an dem die Eintragung der Verschmelzung in das Register des Sitzes desjenigen Rechtsträgers, dessen Gläubiger sie sind, nach § 19 Abs. Die Verschmelzung wird erst wirksam mit der Eintragung der Verschmelzung in das Handelsregister der übernehmenden Gesellschaft. Die Gesellschaft ist auf Grund des Verschmelzungsvertrages vom sowie der Beschlüsse der Gesellschafterversammlungen vom selben Tag mit der Cargo China multimodal transport AG mit dem Sitz in Frankfurt am Main (Amtsgericht Frankfurt am Main HRB 74501) verschmolzen. Trans Sib ATC Air Service GmbH, Nürnberg (Am Blärrer 12, 90429 Nürnberg).
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