Publication | Open Access
Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson’s
20
Citations
53
References
2022
Year
EngineeringInformation SharingCommunicationCross-sectoral Data SharingConnected HealthData ScienceDigital HealthPublic HealthTelehealthData SharingData ManagementSimulated Free-living DatasetEhealthInformation ManagementSmart HomeHealth DataSocial ComputingData PracticeHuman-computer InteractionHealth Informatics
In interdisciplinary spaces such as digital health, datasets that are complex to collect, require specialist facilities, and/or are collected with specific populations have value in a range of different sectors. In this study we collected a simulated free-living dataset, in a smart home, with 12 participants (six people with Parkinson's, six carers). We explored their initial perceptions of the sensors through interviews and then conducted two data exploration workshops, wherein we showed participants the collected data and discussed their views on how this data, and other data relating to their Parkinson's symptoms, might be shared across different sectors. We provide recommendations around how participants might be better engaged in considering data sharing in the early stages of research, and guidance for how research might be configured to allow for more informed data sharing practices in the future.
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