Tér és társadalom Big Data szemüvegen keresztül
The Big Data perspective of space and society
Author(s): Bence SágváriSubject(s): Social Sciences, Economy, Geography, Regional studies
Published by: Központi Statisztikai Hivatal
Keywords: Big Data; sociology; social geography; research methodology; spatial disparities
Summary/Abstract: Majority of Big Data sources used in social science research comprise spatial information. Therefore, at the crossroads of sociology and social geography new frames for interpretation, new methods, as well as fast and inexpensive data sources are emerging.However, missing data, the issue of representativeness,the possibility of longitudinal comparison, or simply the process of obtaining data are all challenges that researchers have to face with. Big Data are far from being such a ‘magic sauce’ for social sciences and especially for geographical research with sociological focus that helps to reveal previously unknown facts from one day to the other, or makes the use of traditional research methodology unnecessary and obsolete. Rather, we are witnessing an organic development with deadlocks and dilemmas,and the research approaches and methods raise a great deal of dilemmas and issues related to theory, methodology, research ethics, legal and organisational issues, etc. which need to be addressed.
Journal: Területi Statisztika
- Issue Year: 59/2019
- Issue No: 01
- Page Range: 27-48
- Page Count: 22
- Language: Hungarian