FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network

被引:0
|
作者
Vasundra Touré
Philip Krauss
Kristin Gnodtke
Jascha Buchhorn
Deepak Unni
Petar Horki
Jean Louis Raisaro
Katie Kalt
Daniel Teixeira
Katrin Crameri
Sabine Österle
机构
[1] SIB Swiss Institute of Bioinformatics,Personalized Health Informatics Group
[2] Trivadis — Part of Accenture,Health Informatics and Data Privacy Group, Biomedical Data Science Center
[3] 1010 Lausanne University Hospital,Clinical Data Platform Research, Directorate of Research and Education
[4] Zurich University Hospital,DSI
[5] Geneva University Hospital, Data Group
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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). 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. 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. 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. Researchers in Switzerland have access to FAIR health data for further use in RDF triplestores.
引用
收藏
相关论文
共 50 条
  • [41] Sharing health-related data: a privacy test?
    Stephanie OM Dyke
    Edward S Dove
    Bartha M Knoppers
    npj Genomic Medicine, 1
  • [42] Sharing health-related data: a privacy test?
    Dyke, Stephanie O. M.
    Dove, Edward S.
    Knoppers, Bartha M.
    NPJ GENOMIC MEDICINE, 2016, 1
  • [43] Transfer learning for health-related Twitter data
    Dirkson, Anne
    Verberne, Suzan
    SOCIAL MEDIA MINING FOR HEALTH APPLICATIONS (#SMM4H) WORKSHOP & SHARED TASK, 2019, : 89 - 92
  • [44] Workflow for health-related and brain data lifecycle
    Bruha, Petr
    Moucek, Roman
    Salamon, Jaromir
    Vacek, Vitezslav
    FRONTIERS IN DIGITAL HEALTH, 2022, 4
  • [45] Data analysis in health-related qualitative research
    Wong Li Ping
    SINGAPORE MEDICAL JOURNAL, 2008, 49 (05) : 435 - 435
  • [46] Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies
    Tretter, Max
    Theol, Mag
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 26
  • [47] The earnings effects of health and health-related activities: a panel data approach
    Xiao, Yuxi
    Li, Haizheng
    Fleisher, Belton M.
    APPLIED ECONOMICS, 2015, 47 (14) : 1407 - 1423
  • [48] A SMARTPHONE APP USING PERSONALIZED HEALTH-RELATED VISUAL IMAGERY IMPROVES ADHERENCE TO ANTIRETROVIRAL THERAPY
    Petrie, K. J.
    Perera, A.
    Thomas, Mark
    Moore, J.
    INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE, 2014, 21 : S144 - S144
  • [49] Genome Editing Technologies to Improve Health-Related Phytocompounds in Crops
    Dellino, Maria
    de Giovanni, Claudio
    Miazzi, Monica Marilena
    Montemurro, Cinzia
    Nigro, Domenica
    FOOD FRONTIERS, 2025,
  • [50] Health-Related Quality of Life in Patients With Sarcoma: Enhancing Personalized Medicine
    Younger, Eugenie
    Wilson, Roger
    van der Graaf, Winette T. A.
    Husson, Olga
    JOURNAL OF CLINICAL ONCOLOGY, 2018, 36 (16) : 1642 - +