Abstract
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.
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Acknowledgments
This work was supported by the Spanish Ministry of Science and Innovation through Project DataME (ref: TIN2016-80811-P) and the Generalitat Valenciana through project GISPRO (PROMETEO/2018/176). The authors would like to thank members of the PROS Research Centre Genome group, the IVIA Research group, especially Manuel Talón and Javier Terol for the fruitful discussions and their valuable assistance regarding the application of CM in the genomics domain and José Marín Navarro for his advice and help.
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García S., A., Reyes Román, J.F., Casamayor, J.C., Pastor, O. (2019). Towards an Effective and Efficient Management of Genome Data: An Information Systems Engineering Perspective. In: Cappiello, C., Ruiz, M. (eds) Information Systems Engineering in Responsible Information Systems. CAiSE 2019. Lecture Notes in Business Information Processing, vol 350. Springer, Cham. https://doi.org/10.1007/978-3-030-21297-1_9
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