|Title||Working with data from official statistics in Europe – particularly the Adult Education Survey|
|Dates||18 – 20 February 2015|
|Location||National Centre for Social Research (EKKE) (Athens, Greece)|
One of the core objectives of Data without Boundaries is to promote the use of integrated official statistics in Europe. The Data without Boundaries project seeks to inform the research community on possibilities for application and the potential for social enquiry of official European microdata.
To this aim Data without Boundaries, in cooperation with Eurostat, organised a series of three-day training courses on integrated Eurostat datasets. Courses provided information on available microdata in Europe as well as ways to access these data.
The sixth course focussed on the Adult Education Survey (AES) 2011. The training was hosted by the National Centre for Social Research (EKKE). Other partners involved in this course are Eurostat (Luxembourg), GESIS-Leibniz Institute for the Social Sciences (Mannheim), Réseau Quetelet (Paris), UK Data Archive (Essex) and Prof. Dr. Katrin Kaufmann (Freie Universität Berlin) as expert for adult education.
The course was aimed at post graduate and senior researchers from throughout Europe who are seeking to conduct research on the basis of the AES. Besides highlighting the legal and administrative aspects of data access, the course demonstrated the possibilities of the AES in a hands‐on computer session which explored the potential for comparative analysis of adult education.
|Perspectives and challenges of research into adult education||Katrin Kaufmann (FU Berlin)||[.pdf]|
|Introduction to AES||Philippe Lombardo (Eurostat)||[.pdf]|
|AES from a research perspective||Katrin Kaufmann (FU Berlin)||[.pdf]|
|Documentation and Additional Resources||Jeanette Bohr and Christof Wolf (GESIS)||[.pdf]|
|Introduction to Training Dataset||Jeanette Bohr and Christof Wolf (GESIS)||[.pdf]|
|Exercises for Practical Training Sessions||Katrin Kaufmann (FU Berlin)||[.pdf]|
|Solutions for Practical Training Sessions||Katrin Kaufmann (FU Berlin)||[.pdf]|
|Syntaxes for activity dataset||[.zip]|
|Syntaxes for individual dataset||[.zip]|