Data is a critically important foundation for social research; however, in the South Caucasus reliable, up-to-date and accessible data on social, political and economic issues are often in short supply. A focus on providing and maintaining access to sound data is a priority for CRRC. Moving beyond their function as a collecting point for existing datasets, the centers sponsor and collect data focusing on a wide range of social, economic and political variables related to the South Caucasus.
To increase cross-comparison of regional social and economic dynamics, in 2004 CRRC began a coordinated data gathering effort to obtain reliable, comparable data on household composition, knowledge, social and political attitudes, and practices across the South Caucasus. This nationwide household survey named Caucasus Barometer (Data Initiative in 2004-2010) with over 6,800 respondents across the South Caucasus runs annually in Armenia, Azerbaijan, and Georgia based on the same methodological approach and the same survey instrument.
From the very beginning, the data collected by CRRC was meant to be open to all interested researchers and/or policymakers both from the region and from other parts of the world. The Caucasus Barometer survey instruments (questionnaires), show cards, the detailed sampling methodology, the survey databases (in SPSS/STATA format), some findings, and other documents are regularly being posted on our website and on CB regional website.
Please use the following citation when citing data from the Caucasus Barometer: Caucasus Research Resource Centers. [dataset year] "Caucasus Barometer". Retrieved from [link] on [date of accessing the database here].
Please forward your data related feedback to: email@example.com.
Online Data Analysis
Recently, CRRC has launched the Online Data Analysis (ODA), a web-based tool for statistical analysis. It is designed primarily for those not having advanced data analysis skills to enable them to extract and analyze data. ODA has a user-friendly interface where one can easily create charts, display frequency tables and cross-tabulations, and analyze cross-country and time-series survey data without any previous knowledge of statistics. Additionally, the results can be copied into spreadsheet programs for further analysis or visualization.