All recorded measurement data can be converted into a predetermined metadata format and saved as a data file within ModenJay platform. The metadata format provided in ModenJay consists of meaningful and important data that are extracted from the raw data. Ultimately metadata aims to replace the raw data file by containing all the useful data from the past measurement results. This leads to an efficient method of data management by excluding the need to manage a gigantic amount of raw data.
Metadata file format consists of two parts; a common information which all test recipes share and a unique set of data different for all recipes. The common information part includes the sample information and the test log (tester information, test time etc). The unique part includes the measurement setting information and the result metadata. The result metadata can be further categorized into three groups. “Extracted Data” – a collection of selected raw data according to a predetermined set of rules, “Characteristic Parameters” – a set of data that represents the results’ characteristics such as the distinctive points on the plot of data, “Model Parameters” – a set of parameters that are calculated by applying a theoretical model to the results.?
(Figure 1) Sample information, measurement condition and test log for discharge test recipe.?
(Figure 2) Graph showing the measruement metadata for Frequency Response test recipe.?
(Figure 3)Measurement metadata table for Frequency Response test recipe.?
Metadata for single recipes record representative data for a single test procedure as shown above, but if there are a certain repetition of single recipes then the variation of result metadata can also be recorded. In addition, all the data including the raw measurement data and the metadata can be visualized as plots of predetermined formats. We call such plots ‘EigenPlots’ and the predetermined formats are determined such that the EigenPlots for a test recipe may represent the result as straightforward as possible. A detailed information about EigenPlots will be provided in the next article.?
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