Towards an Effective and Efficient Management of Genome Data: An Information Systems Engineering Perspective.

The Genome Data Management domain is particularly complex in terms of volume, heterogeneity and dispersion, therefore Information System Engineering (ISE) techniques are strictly required. We work with the Valencian Institute of Agrarian Research (IVIA) to improve its genomic analysis processes. To address this challenge we present in this paper our Model-driven Development (MDD), conceptual modeling-based, experience. The selection of the most appropriate technology is an additional relevant aspect. NoSQL-based solutions where the technology that better fit the needs of the studied domain - the IVIA Research Centre using its Information System in a real-world industrial environment - and therefore used. The contributions of the paper are twofold: to show how ISE in practice provides a better solution using conceptual models as the basic software artefacts, and to reinforce the idea that the adequate technology selection must be the result of a practical ISE-based exercise.