International Journal of Internet Science
A peer reviewed open access journal for empirical findings,
methodology, and theory of social and behavioral science concerning the
Internet and its implications for individuals, social groups,
organizations, and society.
WEBDATANET: A Network on Web-based Data Collection, Methodological Challenges, Solutions, and Implementation
Stephanie Steinmetz1, Lars Kaczmirek2, Pablo de Pedraza3, Ulf-Dietrich Reips4,5, Kea Tijdens6, Katja Lozar Manfreda7, ..., Bernardo (Dov) Winer8
1University of Amsterdam, The Netherlands, 2Gesis, Leibnitz Institute for the Social Sciences, Germany, 3University of Salamanca, Spain, 4University of Deusto, Spain, 5IKERBASQUE, Basque Foundation for Science, Spain, 6University of Amsterdam, The Netherlands, 7University of Ljubljana, Slovenia, 8MAKASH – CMC Applications in Educations, Culture and Science, Israel
Summary: Do you collect data via the Internet in your research? If you do, this European network is important for you. The network collects and combines experiences and research on the methodology of online data collection. It provides access to expertise that may be important in your research.
WEBDATANET is a unique multidisciplinary European network bringing together more than 76 leading web-based data collection experts, (web) survey methodologists, psychologists, sociologists, linguists, economists, computer scientists, media researchers, internet scientists and public opinion researchers from 28 countries of the European Union and abroad.
By addressing methodological issues of web-based data collection (surveys, experiments, tests, non-reactive data collection, and mobile internet research) and fostering its scientific usage, WEBDATANET aims to contribute to the theoretical and empirical foundations of web-based data collection, stimulate its integration into the entire research process, and enhance the integrity and legitimacy of these new forms of data collection.
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