JUCS - Journal of Universal Computer Science 23(11): 1035-1037, doi: 10.3217/jucs-023-11-1035
Big Data in Cross-Disciplinary Research
expand article infoGiangiacomo Bravo‡, Mikko Laitinen§, Magnus Levin|, Welf Löwe, Göran Petersson‡
‡ Linnaeus University, Växjö, Sweden§ Linnaeus University and University of Eastern Finland, Växjö, Sweden| Linnaeus University, Växö, Sweden¶ Linnaeus University and Softwerk AB, Växö, Sweden

Corresponding author: Giangiacomo Bravo ( giangiacomo.bravo@lnu.se )

© Giangiacomo Bravo, Mikko Laitinen, Magnus Levin, Welf Löwe, Göran Petersson.
This article is freely available under the J.UCS Open Content License.
Citation: Bravo G, Laitinen M, Levin M, Löwe W, Petersson G (2017) Big Data in Cross-Disciplinary Research. JUCS - Journal of Universal Computer Science 23(11): 1035-1037. https://doi.org/10.3217/jucs-023-11-1035
Open Access
Abstract
The ubiquity of sensor, computing, communication, and storage technologies provides us with access to previously unknown amounts of data - Big Data. Big Data has revolutionized research communities and their scientific methodologies. It has, for instance, innovated the approaches to knowledge and theory building, validation, and exploitation taken in the engineering sciences. The humanities and social sciences even face a paradigm shift away from data-scarce, static, coarse-grained and simple studies towards data-rich, dynamic, high resolution, and complex observations and simulations. The present focused topic presents investigations from different research fields in which the focus is either on utilizing Big Data or charting the benefits of using such evidence in basic research.
Keywords
big data