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Information Architecture, Data Architecture and Data Visualization : Levels of context

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The nuance and practical distinctions in the use of the terms  Data Architecture  and  Information Architecture  deserve clarification. We can include with these Data Visualization . These concepts are often complementary but not always interchangeable and in professional circles, especially within UX design the roles of a Data Architect and Information Architect are distinct if partially overlapping. Professional Job Descriptions encompass differing responsibilities, methods and deliverables. This blog discussion introduces some of my understanding about the theory and usage of the terms theory and in practice. I hope to also expand the recognition of data visualization as an art producing informational content in its most elemental level. I will provide examples that demonstrate common usage of the terms and also look at some examples of formative semiotic conventions that start to build up contextual meaning and useful blocks or information. Some attribute the foundation of th

Data standardization for Smart-regalional and inter-kommunal water-quality monitoring on Mjøsa

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INFORMATION ARCHITECTURE Gjøvik Kommune is promoting a Smart-City program of development aimed at the integration of Smart (IoT) technologies into municipal planning. To meet the expectations and mandate of smart governance, there is a need for a greater degree of cooperation and collaboration between academic institutions, governmental agencies at the municipal (kommune) and county (fylke) levels to monitor environmental pollution and water-quality. Digital standards, research criteria standards, quality control (QC), quality assurance (QA) and verification of standards are especially critical.   Data standardization refers in the macro- sense to considerations that are inter-organizational and interdisciplinary and that hold bearing with regard to research planning and design as information architecture protocols. On the project-detail and database-management level we can look closer at standardization of labeling, naming conventions and tracking or archiving practice. Informat