
pmid: 38384893
pmc: PMC10880866
This paper considers how the development of personal data store ecosystems in health and social care may offer one person-centered approach to improving the ways in which individual generated and gathered data—e.g., from wearables and other personal monitoring and tracking devices—can be used for wellbeing, individual care, and research. Personal data stores aim to provide safe and secure digital spaces that enable people to self-manage, use, and share personal data with others in a way that aligns with their individual needs and preferences. A key motivation for personal data stores is to give an individual more access and meaningful control over their personal data, and greater visibility over how it is used by others. This commentary discusses meanings and motivations behind the personal data store concept—examples are provided to illustrate the opportunities such ecosystems can offer in health and social care, and associated research and implementation challenges are also examined.
Health Personnel, Data Portability, privacy-by-design, Personal Data Store Ecosystems, data donation, Self-Managing Data, Humans, Data Governance, Data Donation, Ecosystem, Motivation, Social Support, personal data store ecosystems, Privacy-by-Design, Digital Health, personal data sovereignty, Public Health, data portability, Public aspects of medicine, RA1-1270, data governance, Personal Data Sovereignty
Health Personnel, Data Portability, privacy-by-design, Personal Data Store Ecosystems, data donation, Self-Managing Data, Humans, Data Governance, Data Donation, Ecosystem, Motivation, Social Support, personal data store ecosystems, Privacy-by-Design, Digital Health, personal data sovereignty, Public Health, data portability, Public aspects of medicine, RA1-1270, data governance, Personal Data Sovereignty
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
