The Social Data Bank in brief

The Social Data Bank (SDB) of EKKE that was developed at the end of the 90s and financed by the programme "KLEISTHENIS" joined the European network CESSDA (Council of European Social Science Data Archives) in October 1999. ΕΚΚΕ, as a member of CESSDA participated in the network's main research projects with the aim to develop Research Infrastructures for Social Sciences. These projects added value and contributed by transferring knowhow to the SDB in terms of: documentation of quantitative research, design of metadata models, adoption of documentation standards such as the DDI (Data Documentation Initiative), as well as, development and management of thesaurus, classification tools and vocabularies of social terms. In addition, the SDB and subsequently, EKKE, through these projects, actively participated at the European Social Research Area in the field of research infrastructures' development.

The main projects that have been funded under the Sixth and Seventh EU's Framework Programme for Research are the following: Cher (Consortium of Household Panels for European Socio-Economic Research), MetaDater (Metadata Management and Production System for the Social Science Surveys) , Madiera ( Multilingual Access to Data Infrastructures of the European Research Area), CESSDA PPP (Preparatory Phase Project for a major upgrade of the Council of European Social Science Data Archives (CESSDA) Research Infrastructure). During the aforementioned period, the team members of the Social Data Bank participated in working groups, expert seminars run by the network of CESSDA and conferences that covered issues of research infrastructures' development, comparative research's methodology, documentation and dissemination of socio-economic data.

Online statistical analysis in Nesstar

Nesstar, except from providing search services for surveys and variables, offers, as well, on line statistical analysis services.  It offers the user a tool for basic statistical processing, such as descriptive statistics (mean, median, standard deviation etc.), frequency distribution, cross-tabulation tables, correlations andregressions. Nesstar is not considered a standard statistical package, therefore, it does not substitute in depth analysis provided by standard statistical packages. Its aim, therefore, is to provide to researchers a first on line picture of the survey’s data in question and to enable them to move on and have access to primary data. The statistical processes provided by Nesstar are supported by the following functions and graphs:

Create new Variables
Export to Excel
Export to Acrobat
Regression Plots


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Search Data

The catalogue enables users to search for surveys by several criteria, to browse their content through on line statistical analysis and to retrieve surveys locally for further processsing and secondary analysis. Being more precise, there are two different ways of searching:

  1. Simple Search: for term/terms in any part of the metadata, and
  2. Advanced search: for specific fields of DDI2 documentation.

The simple search can be undertaken through the tool: 

The advanced search can be undertaken through the tool that is depicted as an "arrow":

where by, one or more of the following criteria can be used:

  1. Survey title-Survey Code
  2. Abstract-Keywords-Start date-End date-Geographical coverage
  3. Geographic unit -Unit of analysis-Population-Datatype
  4. Sampling methods-Data collection methods - Weighting
  5. Access requirements
  6. Variable name, question text, variable label, variable concept, category label.