Visions and challenges in managing and preserving data to measure quality of life

Vero Estrada-Galinanes, Katarzyna Wac

    2 Citationer (Scopus)

    Abstract

    Health-related data analysis plays an important role in self-knowledge, disease prevention, diagnosis, and quality of life assessment. With the advent of data-driven solutions, a myriad of apps and Internet of Things (IoT) devices (wearables, home-medical sensors, etc) facilitates data collection and provide cloud storage with a central administration. More recently, blockchain and other distributed ledgers became available as alternative storage options based on decentralised organisation systems. We bring attention to the human data bleeding problem and argue that neither centralised nor decentralised system organisations are a magic bullet for data-driven innovation if individual, community and societal values are ignored. The motivation for this position paper is to elaborate on strategies to protect privacy as well as to encourage data sharing and support open data without requiring a complex access protocol for researchers. Our main contribution is to outline the design of a self-regulated Open Health Archive (OHA) system with focus on quality of life (QoL) data.

    OriginalsprogEngelsk
    TitelProceedings - 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2018
    Antal sider8
    ForlagIEEE
    Publikationsdato2019
    Sider92-99
    Artikelnummer8599538
    ISBN (Elektronisk)9781538651759
    DOI
    StatusUdgivet - 2019
    Begivenhed3rd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2018 - Trento, Italien
    Varighed: 3 sep. 20187 sep. 2018

    Konference

    Konference3rd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2018
    Land/OmrådeItalien
    ByTrento
    Periode03/09/201807/09/2018

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