TY - GEN
T1 - A Microservice-Based Reference Architecture for Digital Platforms in the Proteomics Domain
AU - Shraideh, Marwin
AU - Samaras, Patroklos
AU - Schreieck, Maximilian
AU - Krcmar, Helmut
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Proteomics holds huge innovations for healthcare such as personalized medicine to tremendously increase people’s health. Due to its rapid growth, its multidimensional data sets and the related need for the latest technologies and huge computing capacities, a diverse and scattered tool and repository landscape evolved in an uncontrolled manner. Therefore, tool usage is complicated, time consuming and almost impossible without expert IT skills. To create the conditions for new innovations in the proteomics domain and making first steps towards personalized medicine, digital platforms are needed. However, designing such a system is complex and was not yet supported by information systems. Consequently, we will design and implement a sustainable microservice-based reference architecture for digital platforms in the proteomics domain based on the example of ProteomicsDB that focuses on maintainability, extendibility, and reusability by following the design science requirements. With our reference architecture, we extend evidence-based design knowledge in real-world information systems contributing to information systems research and provide proteomics researchers, but also practitioners a foundation for establishing new business models and enhancing existing or developing new services or platforms.
AB - Proteomics holds huge innovations for healthcare such as personalized medicine to tremendously increase people’s health. Due to its rapid growth, its multidimensional data sets and the related need for the latest technologies and huge computing capacities, a diverse and scattered tool and repository landscape evolved in an uncontrolled manner. Therefore, tool usage is complicated, time consuming and almost impossible without expert IT skills. To create the conditions for new innovations in the proteomics domain and making first steps towards personalized medicine, digital platforms are needed. However, designing such a system is complex and was not yet supported by information systems. Consequently, we will design and implement a sustainable microservice-based reference architecture for digital platforms in the proteomics domain based on the example of ProteomicsDB that focuses on maintainability, extendibility, and reusability by following the design science requirements. With our reference architecture, we extend evidence-based design knowledge in real-world information systems contributing to information systems research and provide proteomics researchers, but also practitioners a foundation for establishing new business models and enhancing existing or developing new services or platforms.
KW - Design science
KW - Digital platform
KW - Information systems engineering
KW - Microservices
KW - Proteomics
KW - Reference architecture
UR - http://www.scopus.com/inward/record.url?scp=85113484543&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-82405-1_26
DO - 10.1007/978-3-030-82405-1_26
M3 - Conference contribution
AN - SCOPUS:85113484543
SN - 9783030824044
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 260
EP - 271
BT - The Next Wave of Sociotechnical Design - 16th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2021, Proceedings
A2 - Chandra Kruse, Leona
A2 - Seidel, Stefan
A2 - Hausvik, Geir Inge
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2021
Y2 - 4 August 2021 through 6 August 2021
ER -