| Creators: |
Schobel, Johannes and Pryss, Rüdiger and Schickler, Marc and Reichert, Manfred |
| Title: |
Process-Driven Mobile Data Collection (Extended Abstract) |
| Item Type: |
Conference or Workshop Item |
| Event Title: |
(Proceedings of the) 8th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2017) |
| Event Location: |
Essen, Germany |
| Event Dates: |
12. - 13. Juni 2017 |
| Projects: |
DigiHealth, QuestionSys, MobileDataCollection |
| Page Range: |
pp. 11-12 |
| Date: |
June 2017 |
| Divisions: |
Gesundheitsmanagement |
| Abstract (ENG): |
Structured instruments are commonly used to collect data in various application domains (e.g., psychology). Still, the former are handled in a traditional paper-based fashion. In this context, the widespread use of smart mobile devices offers promising perspectives with respect to the con-trolled collection of high-quality data. The design, implementation and deployment of such mobile data collection applications, however, is challenging in several respects, turning both the program-ming and maintenance of mobile data collection applications into a costly, time-consuming, and error-prone endeavor. In order to empower domain experts to create mobile data collection applica-tions themselves, a powerful framework, applying process management concepts in a broader scope, was developed. The framework enables the development of sophisticated mobile data collection ap-plications by orders of magnitude faster compared to current practices on one hand. On the other, domain experts are relieved from manual tasks, like digitizing the data collected. |
| Forthcoming: |
No |
| Language: |
English |
| Citation: |
Schobel, Johannes and Pryss, Rüdiger and Schickler, Marc and Reichert, Manfred
(2017)
Process-Driven Mobile Data Collection (Extended Abstract).
In: (Proceedings of the) 8th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2017), 12. - 13. Juni 2017, Essen, Germany, pp. 11-12.
(Emisa Forum, Jg 37; 1).
ISBN / ISSN 1610-3351
|
