Literature DB >> 30147075

OSSE Goes FAIR - Implementation of the FAIR Data Principles for an Open-Source Registry for Rare Diseases.

Jannik Schaaf1, Dennis Kadioglu2, Jens Goebel1, Christian-Alexander Behrendt2, Marco Roos3, David van Enckevort4, Frank Ückert5, Fatlume Sadiku5, Thomas O F Wagner6, Holger Storf1.   

Abstract

The Open Source Registry for Rare Diseases (OSSE) provides a concept and a software for the management of registries for patients with rare diseases. A disease is defined as rare if less than 5 out of 10,000 people are affected. Up to date, approximately 6,000 rare diseases are catalogued. Networking and data exchange for research purposes remains challenging due to the paucity of interoperability and due to the fact that small data stocks are stored locally. The so called "Findable, Accessible, Interoperable, Reusable" (FAIR) Data Principles have been developed to improve research in the field of rare diseases. Subsequently, the OSSE architecture was adapted to implement the FAIR Data Principles. Therefore, the so-called FAIR Data Point was integrated into OSSE to provide a description of metadata in a FAIR manner. OSSE relies on the existing metadata repository (MDR), which is used in to define data elements in the system. This is an important step towards unified documentation across multiple registries. The integration and use of new procedures to improve interoperability plays an important role in the context of registries for rare diseases.

Entities:  

Keywords:  FAIR; OSSE; interoperability; rare diseases; registries

Mesh:

Year:  2018        PMID: 30147075

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  SCALEUS-FD: A FAIR Data Tool for Biomedical Applications.

Authors:  Arnaldo Pereira; Rui Pedro Lopes; José Luís Oliveira
Journal:  Biomed Res Int       Date:  2020-08-26       Impact factor: 3.411

2.  How to design a registry for undiagnosed patients in the framework of rare disease diagnosis: suggestions on software, data set and coding system.

Authors:  Alexandra Berger; Anne-Kathrin Rustemeier; Jens Göbel; Dennis Kadioglu; Vanessa Britz; Katharina Schubert; Klaus Mohnike; Holger Storf; Thomas O F Wagner
Journal:  Orphanet J Rare Dis       Date:  2021-05-01       Impact factor: 4.303

3.  The European Rare Kidney Disease Registry (ERKReg): objectives, design and initial results.

Authors:  Giulia Bassanese; Tanja Wlodkowski; Aude Servais; Laurence Heidet; Dario Roccatello; Francesco Emma; Elena Levtchenko; Gema Ariceta; Justine Bacchetta; Giovambattista Capasso; Augustina Jankauskiene; Marius Miglinas; Pietro Manuel Ferraro; Giovanni Montini; Jun Oh; Stephane Decramer; Tanja Kersnik Levart; Jack Wetzels; Elisabeth Cornelissen; Olivier Devuyst; Aleksandra Zurowska; Lars Pape; Anja Buescher; Dieter Haffner; Natasa Marcun Varda; Gian Marco Ghiggeri; Giuseppe Remuzzi; Martin Konrad; Germana Longo; Detlef Bockenhauer; Atif Awan; Ilze Andersone; Jaap W Groothoff; Franz Schaefer
Journal:  Orphanet J Rare Dis       Date:  2021-06-02       Impact factor: 4.123

4.  European lipodystrophy registry: background and structure.

Authors:  Julia von Schnurbein; Claire Adams; Baris Akinci; Giovanni Ceccarini; Maria Rosaria D'Apice; Alessandra Gambineri; Raoul C M Hennekam; Isabelle Jeru; Giovanna Lattanzi; Konstanze Miehle; Gabriele Nagel; Giuseppe Novelli; Ferruccio Santini; Ermelinda Santos Silva; David B Savage; Paolo Sbraccia; Jannik Schaaf; Ekaterina Sorkina; George Tanteles; Marie-Christine Vantyghem; Camille Vatier; Corinne Vigouroux; Elena Vorona; David Araújo-Vilar; Martin Wabitsch
Journal:  Orphanet J Rare Dis       Date:  2020-01-15       Impact factor: 4.123

  4 in total

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