Collecting, exploring and sharing personal data: Why, how and where

Author:

Estrada-Galiñanes Vero1ORCID,Wac Katarzyna23ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science (IDE), University of Stavanger, Norway. E-mail: veronica.estrada@uis.no

2. Department of Computer Science (DIKU), University of Copenhagen, Denmark. E-mail: wac@di.ku.dk

3. QoL Technologies Lab (Center for Informatics), University of Geneva, Switzerland

Abstract

New, multi-channel personal data sources (like heart rate, sleep patterns, travel patterns, or social activities) are enabled by ever increased availability of miniaturised technologies embedded within smartphones and wearables. These data sources enable personal self-management of lifestyle choices (e.g., exercise, move to a bike-friendly area) and, on a large scale, scientific discoveries to improve health and quality of life. However, there are no simple and reliable ways for individuals to securely collect, explore and share these sources. Additionally, much data is also wasted, especially when the technology provider ceases to exist, leaving the users without any opportunity to retrieve own datasets from “dead” devices or systems. Our research reveals evidence of what we term human data bleeding and offers guidance on how to address current issues by reasoning upon five core aspects, namely technological, financial, legal, institutional and cultural factors. To this end, we present preliminary specifications of an open platform for personal data storage and quality of life research. The Open Health Archive (OHA) is a platform that would support individual, community and societal needs by facilitating collecting, exploring and sharing personal health and QoL data.

Publisher

IOS Press

Subject

General Medicine

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Personal data store ecosystems in health and social care;Frontiers in Public Health;2024-02-07

2. Collecting, Distributing and Extracting Information from Wearable Devices;2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2023-09-07

3. A Study on ML-Based Sleep Score Model Using Lifelog Data;Applied Sciences;2023-01-12

4. A digital innovation typology: Navigating the complexity of emerging technologies to negotiate health systems research with young people;DIGITAL HEALTH;2023-01

5. The Future of Quantifying Behaviors, Health, and Quality of Life;Quantifying Quality of Life;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3