Service computing has fundamentally changed the development of software systems. In this context, „the“ services provide methods, tools, and concepts that can be used to easily create distributed and heterogeneous cutting-edge applications. In line with this trend, the service-oriented paradigm is an enabler in many scenarios where a huge amount of data has to be collected or processed. As a consequence, services are commonly used in challenging data collection scenarios.
The widespread distribution of smart mobile devices constitutes another fundamental trend. The use of smart mobile devices in daily life has raised many new opportunities on one hand (e.g., novel data), but remains many question unanswered on the other (e.g., security, addiction, etc.). In life sciences, for example, smart mobile devices can be used to collect new kinds of data. As data is collected in daily life situations, contextual data is only one direction that provides the base for a new kind of data that can be evaluated. Another example for life science scenarios constitutes the moment-to-moment variability of many phenomena that smart mobile devices can capture for the first time at rather low costs. As service technology basically improves data collection procedures and smart mobile device technology offers completely new data collection opportunities, their combination is very promising. How data collection services can be efficiently deployed to smart mobile devices or how infrastructural characteristics may change are only two issues that have to be addressed. Furthermore,when realizing sophisticated mobile data collection services, numerous new technical issues arise. For example, as many real-world projects require the support of different mobile operating systems, platform-specific peculiarities must be properly handled. Therefore, existing approaches often rely on specifically tailored mobile services. As a drawback, changes to the data collection procedure result in costly code adaptations. To remedy such drawbacks, new service-driven approaches are required.
This workshop will serve as a forum to present and discuss original contributions, including theoretical and empirical evaluations, as well as practical and industrial experiences, with emphasis on results that solve open research problems when combining services and smart mobile device technology to deal with challenges on data collection issues. On the other, the workshop encourages researchers to submit position papers that pose a new direction or present a controversial point of view on these subjects and related fields.