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      Screen4Care Metadata Repository

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      ScienceOpen
      Genetoberfest 2023
      16-18 October 2023
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            Abstract

            Screen4Care (S4C) is an IMI2 project which seeks to shorten the path to diagnosis for patients with rare disease by providing a digital federated infrastructure in particular by providing a federated metadata repository (MDR). Findability and interoperability of existing data is a common roadblock in machine learning with health data and particularly crucial in the case of rare disease with low incidence numbers. Therefore, the MDR, which only stores descriptive metadata of registered data sources and will allow to discover potential data sources, evaluate their compatibility, estimate the number of matching instances and thus enable and faciality the match-making in complex machine learning tasks. The analysis, design, and further development of the MDR are based on a wide-ranging review of existing MDRs in the medical domain and their implementation approaches. The MDR was established on ISO/IEC 11179-3, an internationally accepted implementation standard to ensure interoperability and readability. The implementation follows a so-called middle-out strategy, in which we start with limited use-cases for filling the repository and gradually abstract and extend the content to more generalized cases. In addition, a seamless user interface is provided to allow researchers to interact with the MDR efficiently.

            Author and article information

            Conference
            ScienceOpen
            9 October 2023
            Affiliations
            [1 ] University of Southern Denmark, Department of Mathematics and Computer Science. Campusvej 55, 5230 Odense;
            Author information
            https://orcid.org/0000-0002-1909-0080
            https://orcid.org/0009-0002-8622-5237
            https://orcid.org/0000-0003-4490-5947
            Article
            10.14293/GOF.23.29
            4e36e1c4-d4d7-46c7-ac30-7a3df162201b

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            Genetoberfest 2023
            16-18 October 2023
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            ScienceOpen


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