MyData as a human-centric personal data management model is recognized across domains within academia and industry as a business enabler. Yet, the potential of MyData is ill-explored for public health decisions and policy making. This working paper attempts to address this research gap in three ways. First, by understanding the value of personal granular data in public health decision making. Second, by identifying key features of services which will foster mass acceptance of MyData services; and, how individuals can be encouraged to allow access to their MyData for public health decision making. Third, by developing a technology acceptance model which will provide a framework for further development before mass deployment.
|Publication status||Published - 2018|
|MoE publication type||Not Eligible|
|Event||9th Annual European Decision Sciences Conference, EDSI 2018 - Udine, Italy|
Duration: 3 Jun 2018 → 6 Jun 2018
|Conference||9th Annual European Decision Sciences Conference, EDSI 2018|
|Abbreviated title||European DSI|
|Period||3/06/18 → 6/06/18|
Francis Gomes, J., Pääkkönen, J., Iivari, M., & Pikkarainen, M. (2018). “MyData” in public health decisions: potential for European states. Paper presented at 9th Annual European Decision Sciences Conference, EDSI 2018, Udine, Italy.