The spectroscopy dataset lifecycle: best practice for exchange and dissemination

Abstract

In today’s information age, spectroscopy data management is a significant consideration for researchers and practitioners presenting challenges imposed by multi-disciplinary data producing activities. Such activities are a result of heterogeneous infrastructure and instrumentation, scientific experiments, high data rates and multi-user environments. When data is created, published, exported, imported, transformed and shared by different parties and used for different purposes, these actions form a data lifecycle. Creating a conceptualized model of this data lifecycle helps to better understand the nature of the data and the integration of previously disparate implementation efforts. The newly enhanced AUS- SPECCHIO spectral information system is presented within the context of a spectroscopy data lifecycle model for remote and proximal sensing activities, through a common set of lifecycle phases, features and roles established as best practice procedures.