Web applications have become the primary source of information and transactions over the internet. The number of statistical research organizations, with focused interests in publishing result data on the web, is increasing rapidly in recent years. Statistical report publishing is typically requested to publish reports using different documentation formats. In this research, we examine different web publishing frameworks and effects of saturation trends that appear during implementation. The existing publishing solutions sometimes may or may not cover these requirements. We introduce a simple architectural model that describes the basic steps and overall model to publish statistical reports coming from tabular data sources on the web. Finally, we describe the implementation of such a model and indicate what technologies can be used to enforce it in order to increase productivity and work quality when comparing it with other solutions.
CITATION STYLE
Rahman, M. M., Dicken, H., & Huke, D. (2017). A novel web publishing system architecture for statistics data using open source technology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10108 LNCS, pp. 259–269). Springer Verlag. https://doi.org/10.1007/978-3-319-52836-6_26
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