“MyData” in public health decisions: potential for European states

J. Francis Gomes, J. Pääkkönen, Marika Iivari, Minna Pikkarainen

Research output: Contribution to conferenceConference articleScientificpeer-review

Abstract

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.
Original languageEnglish
Publication statusPublished - 2018
MoE publication typeNot Eligible
Event9th Annual European Decision Sciences Conference, EDSI 2018 - Udine, Italy
Duration: 3 Jun 20186 Jun 2018

Conference

Conference9th Annual European Decision Sciences Conference, EDSI 2018
Abbreviated titleEuropean DSI
CountryItaly
CityUdine
Period3/06/186/06/18

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personal data
public health
acceptance
decision making
industry
management
Values

Cite this

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.
Francis Gomes, J. ; Pääkkönen, J. ; Iivari, Marika ; Pikkarainen, Minna. / “MyData” in public health decisions: potential for European states. Paper presented at 9th Annual European Decision Sciences Conference, EDSI 2018, Udine, Italy.
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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, 3/06/18 - 6/06/18, .

“MyData” in public health decisions: potential for European states. / Francis Gomes, J.; Pääkkönen, J.; Iivari, Marika; Pikkarainen, Minna.

2018. Paper presented at 9th Annual European Decision Sciences Conference, EDSI 2018, Udine, Italy.

Research output: Contribution to conferenceConference articleScientificpeer-review

TY - CONF

T1 - “MyData” in public health decisions: potential for European states

AU - Francis Gomes, J.

AU - Pääkkönen, J.

AU - Iivari, Marika

AU - Pikkarainen, Minna

N1 - not publicly available

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

M3 - Conference article

ER -

Francis Gomes J, Pääkkönen J, Iivari M, Pikkarainen M. “MyData” in public health decisions: potential for European states. 2018. Paper presented at 9th Annual European Decision Sciences Conference, EDSI 2018, Udine, Italy.