Experimental data in life sciences, created with today's sequencing techniques, accumulate rapidly in different formats and data sources, leaving facts and knowledge on observed phenomena hidden and unreachable to re- searchers. The "big data" problem can be seen from various aspects. In this pa- per, we pointed out to those that can be solved with some sort of data integra- tion. Combining data from different sources and analyzing them jointly can give a complex insight of observed biological phenomena. The problem of de- signing data integration systems is important in current real world applications. This document presents several levels of data integration, with some examples of good practice.
['Vesna Pajic', 'Gordana Pavlovic-Lazetic', 'Dragana Dudic', 'Dragica Radovanovic', 'Jelena Kozoderovic']
Integration of data in biosciences.