An Architecture and Protocol for Management of Multimodal Experimental Data

Abstract

Data collection for controlled experiments is a critical step in ensuring that the correct protocol is followed. This stage usually requires specialized devices and proper recorders. Moreover, the data - in different formats and from various sources - must be stored, processed, and used for various stages of the experiment. A good workflow for data management is important both for experiment’s implementation and for historic preservation of the relevant information (for later analysis, metaanalysis, or various other uses). In this regard, the article proposes an experimental architecture that leverages the modern technologies to allow easy deployment of data acquisition tools in the field, the collection and classification of data and storage and custom retrieval of information for various purposes. The details of the platform will be further discussed, and its advantages highlighted.