Three CESSDA webinars for researchers

Published: 2019-11-17

From 28 November, CESSDA arranges three different webinars for researchers and other data users and data producers. The webinars focus on the impact of computers and the internet on everyday life; the CESSDA EuroQuestionBank, and an introduction to the new tool QAMyData.

CESSDA training webinarHow can we understand the impact of computers and the internet on everyday life? Hosted by the So.Da.Net network (the Greek research infrastructure for the social sciences), the webinar on 28 November will explore research and data on the topic. The webinar will include two guest speakers. First, Professor Nicolas Demertzis, University of Athens, will address how data from the World Internet Project (WIP) supports research into the digital divide. Then, Dr Stamatis Poulakidakos from Athens University will discuss the impact of social media within the national campaigns of 2019' European elections. (Follow this link for more information.)

On 29 November, GESIS (the Leibniz Institute for the Social Sciences) is hosting a webinar on the CESSDA EuroQuestionBank. In the first part of the webinar GESIS will give a brief overview of the CESSDA EuroQuestionBank project and present the current User Interface. GESIS will also demonstrate how the EuroQuestionBank (EQB) helps researchers to find, compare and download questions, question-related and study-related information.

The second half of the webinar might be of particular interest to developers and metadata providers in or outside of the CESSDA community. The EQB architecture and the purpose of the components will be presented and the requirements for metadata providers will be introduced. (Follow this link for more information.)

The webinar on 2 December is hosted by UK Data Service and introduces the new QAMyData tool for health-checking numeric data. The tool uses automated methods to detect and report on some of the most common problems found in survey or numeric data, such as missingness, duplication, outliers and direct identifiers. The open source tool helps data creators and users quality assess a numeric data file using a comprehensive list of ‘tests’, classified into types: file, metadata, data integrity, and direct identifiers. (Follow this link for more information.)