Paper ID
1949
Paper Type
short
Description
Genome data holds tremendous value potential for humanity. Downstream services are needed to increase the use of currently dispersed data. There is a research gap related to how companies should design these: They struggle to balance (1) dynamic (exploration) knowledge requirements that are of interest to genome researchers and (2) stable (exploitation) knowledge requirements that are of interest to clinical users. In this paper, we investigate how one specific company takes into account the various audiences in the designing of their services by asking: How do procedural knowledge requirements impact the design of information systems that produce genome data services? We show how different types of knowledge requirements lead to different services and discuss how it could link to IS platform and infrastructure literature. In practice, understanding and explaining these mechanisms increases downstream data value for genome research and clinical use, increasing the advance of science and care for patients.
Recommended Citation
Penninger, Anna and Lindman, Juho, "Procedural Knowledge Requirements in the Design of Genome Data Services" (2019). ICIS 2019 Proceedings. 8.
https://aisel.aisnet.org/icis2019/is_health/is_health/8
Procedural Knowledge Requirements in the Design of Genome Data Services
Genome data holds tremendous value potential for humanity. Downstream services are needed to increase the use of currently dispersed data. There is a research gap related to how companies should design these: They struggle to balance (1) dynamic (exploration) knowledge requirements that are of interest to genome researchers and (2) stable (exploitation) knowledge requirements that are of interest to clinical users. In this paper, we investigate how one specific company takes into account the various audiences in the designing of their services by asking: How do procedural knowledge requirements impact the design of information systems that produce genome data services? We show how different types of knowledge requirements lead to different services and discuss how it could link to IS platform and infrastructure literature. In practice, understanding and explaining these mechanisms increases downstream data value for genome research and clinical use, increasing the advance of science and care for patients.