Big Data in civil engineering: a state-of-the-art survey

Abstract

Data generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime importance while making different decisions. This article reviews the concept of Big Data. The Thomson Reuters Web of Science Core Collection academic database was used to overview publications that contained “BIG DATA” keywords and were included in Web of Science Category under “Engineering”. The analysis of publications was made according to year, country, journal, authors, language and funding agency.

Keywords:

• engineering
• Big Data
• Web of Science

Additional information

Notes on contributors

Oleg Kapliński

Oleg KAPLIŃSKI is Professor of Civil Engineering at Faculty of Architecture (IAP), Poznan University of Technology, Poznan, Poland. He lectures economics and organization of the investment process, as well as the theory and principles of work places design. The author of 250 publications. Doctor Honoris Causa of VGTU (1996). Member of the CE Committee of the Polish Academy of Sciences. His current research are: an integral management, integral design, risk management, theory of decision making and research methods in CE and architecture.

Natalija Košeleva

Natalija KOŠELEVA is a second year PhD student at the Faculty of Civil Engineering, Department of Construction Technology and Management at Vilnius Gediminas Technical University.

Guoda Ropaitė

Guoda ROPAITĖ is a second year PhD student at the Faculty of Civil Engineering, Department of Construction Technology and Management at Vilnius Gediminas Technical University.