Management of Combinatorially Acquired Multi-dimensional Data through Object-Oriented Virtual Sample Library
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Management of Combinatorially Acquired Multi-dimensional Data through Object-Oriented Virtual Sample Library Shin-ichi Todoroki and Satoru Inoue Advanced Materials Laboratory, National Institute for Material Science, Namiki 1-1, Tsukuba, Ibaraki 305-0044, JAPAN ABSTRACT Combinatorial methods bring about plentiful data not only in size but also in dimension. To handle multi-dimensional data easily, a virtual container of combinatorially acquired data is developed which is called “virtual sample libraries” (VSL). VSL stores the data hierarchically in the order of (1) coordinates in the sample library, (2) names of the measurements performed, and (3) data obtained from each measurement. Thus, the loads for analysis and visualization of multi-dimensional data are reduced because the stored data can be accessed intuitively, that is, just by tracing the hierarchy structure. This framework is easily constructed by the aid of object-oriented script language which is good at describing complicated data structure. Visualization of combinatorially acquired 7-dimensional data is demonstrated. INTRODUCTION We can enjoy the benefits of combinatorial technology only after we can afford to analyze the large amount of data obtained. Although large scale data processing is an everyday technique in other fields such as genomics and geophysical fluid dynamics, there still remain a problem peculiar to our fields. It appears when we make several kinds of measurements per one combinatorially integrated sample and examine the correlation among these measurements. In general, the data of each measurement are stored independently in various formats, thus it is very laborious work to pick up the correlated data measured at a specific position in the sample library (see Fig. 1). In order to solve this problem, all the data should be stored at one place in a common format, i.e. they should be treated as a set of multi-dimensional data. Thus, we need a special software to realize this structuralization and standardization.
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Figure 1: Illustration showing an example of the situation when multi-dimensional data management is needed. Four kinds of measurements bring about data in various format.
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It would be easiest if we can find such software as ready-made or custom-made product, but we often hesitate to pay for them because they do not satisfy our requirements such as compatibility with existing data and/or environments, cost performance and our budget. Therefore, sometimes it is simpler to make software by ourselves, by the aid of recently developed user-friendly programming languages. In this context, we have proposed a concept of ’virtual sample library’ (VSL)[1], a container of multi-dimensional data, used for data acquisition, data analysis and data visualization. The most important feature of our VSL is that it is writte
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