Real-time Data Fusion Platforms: The Need of Multi-dimensional Data-driven Research in Biomedical Informatics.
Systems designed to expedite data preprocessing tasks such as data discovery, interpretation, and integration that are required before data analysis drastically impact the pace of biomedical informatics research. Current commercial interactive and real-time data integration tools are designed for large-scale business analytics requirements. In this paper we identify the need for end-to-end data fusion platforms from the researcher's perspective, supporting ad-hoc data interpretation and integration.
Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA.
Satyajeet
S
Raje
Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Bobbie
B
Kite
Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA.
Jay
J
Ramanathan
Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Philip
P
Payne
D019295:Computational Biology / Q000379:methods*; D003199:Computer Systems; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D051188:Knowledge Bases; D020380:Needs Assessment; D012107:Research Design