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The WellbeingDataLab project is a cooperative project between the Ä¢¹½Ö±²¥ and Business Jyväskylä in which we will develop synthetic data from exercise and wellbeing data in order to facilitate successful innovation and product development for a wide range of companies in the wellbeing sector. 

The synthetic data that we aim to develop will be made available to companies and will enable faster start-ups and implementation of more demanding product development processes. Concomitantly, valid and consumer-friendly products can benefit the region's economy and will help to create more personalized healthcare and consumer products and services. This project will create conditions and allocate human resources to enable the piloting of a new and innovative data platform.

The creation of synthetic data requires example data tied to a specific context and phenomenon being considered. Reliable and high-quality data collection and its processing into synthetic data requires large-scale measurements of human participants, hundreds of hours of organizing, and processing of the data. Thus, at the beginning of the project, reliably collected sample data from physically active individuals will be utilized so that we can begin developing and testing a synthetic data generation tool efficiently.

An important part of generating synthetic data is the non-identical symmetry of the final data compared to the sample data. During this project, experts will compare the original and synthetically created data to ensure that no differences between the data can be detected. Data comparison will also be performed using statistical methods to confirm that the statistical indicators of synthetic data do not differ significantly from the sample data. During the project, the fast and efficient transfer of the collected well-being, movement, and activity data for use in synthetic data generation will be optimized. Data collection and processing will be performed using consumer equipment and compared to validated laboratory- specific data. The project will also investigate the suitability of device manufacturers' cloud service interfaces and the necessary authorization processes for the utilization of parallel consumer data as part of the expansion of the synthetic data repository.

One of the starting points for the development of synthetic data is access to anonymous data (data free of personal or identifying information) for use in product development, research, and teaching. The generation of synthetic data itself and the sample data used will still require consideration of data protection, security, and data access rights. In addition, the creation of new types of business models and the sharing of data for use in the product development of companies place strict demands on the use of data collected from individuals. Exploring these ecosystems is also part of this project.

The Ä¢¹½Ö±²¥ and the City of Jyväskylä’s Business Jyväskylä WellbeingDataLab project will be based out of Jyväskylä in the region of Central Finland. In terms of content, the project follows the Jyväskylä Ecosystem Agreement including the ecosystems of physical activity, health promotion, and well-being, but also the ecosystem of renewable industry, in particular digitalization. The thematic areas and objectives of the project are also clearly related to Central Finland’s regional strategy, in particular the High Growth and Smart Specialization choices as well as Good fortune, Renewable Industry and Digitalization. The WellbeingDataLab project will contribute to the realization of positive scenarios included in the Central Finland regional strategy 2020 by supporting entrepreneurship and the pioneering role of technological development within these companies in addition to supporting well-being in work and technology transitions.