Uni Research Computing established the Center for Big Data Analysis, i.e. analysis of data collections which - because of their size and/or complexity - cannot be handled by traditional IT-tools. Competence in big data analysis is a prerequisite for doing cutting edge research in the future and is relevant for a large number of scientific fields. The center opened in January 2015. It aims at a broad collaboration with academic institutions and industry, nationally as well as internationally.
The Center for Big Data Analysis performs research and development (R&D) in Big Data Analysis and its application in science and industry. It aims at being the leading academic center for science related Big Data Analysis in Norway. The main activities of the center will be:
Big Data Analysis: The center focuses on the development of generic methods to model and analyze Big Data and corresponding algorithms and software. This includes R&D in artificial intelligence, data modeling, algorithms and IT-infrastructure.
Application of Big Data in Science: The center collaborates with a number of application areas. Activities relating to environmental flow modeling, natural language processing, climate and health are ongoing or envisaged. The goal is to establish scientifically relevant Big Data databases, which will serve as basis for the scientific work and the ground for further collaborative efforts.
Data-Centric Interdisciplinary Research: Based on the scientific databases and generic data models developed for the application areas, the center will develop methods to describe and analyze their correlation. This field promises interesting research questions and results and will be pursued.
Support for Data-Intensive Sciences: The collaborations with the application areas aim at the establishment of and work with scientific Big Data databases. Building on these efforts, the center will be able to provide valuable support to the application communities.
Industrial Applications: The center will develop the expertise and the technical means to handle Big Data. This will open up for the possibility of industrial applications. Possible areas of application are e.g. high-dimensional correlation analysis to be used in process optimization or predictive maintenance, e.g. in aquaculture or the oil industry.