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International projects source: SICRIS

Web-based data-collection - methodological challenges, solutions and implementations (WEBDATANET)

Researchers (4)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  30704  PhD Jernej Berzelak  Public health (occupational safety)  Researcher  2011 - 2015  122 
2.  17913  PhD Katja Lozar Manfreda  Sociology  Researcher  2011 - 2015  181 
3.  33521  PhD Ana Slavec  Interdisciplinary research  Researcher  2011 - 2015  230 
4.  10155  PhD Vasja Vehovar  Sociology  Researcher  2011 - 2015  840 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0582  University of Ljubljana, Faculty of Social Sciences  Ljubljana  1626957  40,422 
Abstract
Web-based data collection (surveys, experimenting, testing, non-reactive data collection, and mobile Internet research) is/will become important for all social science fields. In avoiding both a simultaneous waste of effort and the use of web data without scientific validity, a multidisciplinary network is proposed to address web-based data collection, its methodologies, scientific validity, and use in the social sciences.WEBDATANET will benefit from communication throughout the social sciences by establishing a network bringing together social scientists, survey and web-based data collection experts, and data users. It will tackle several web-based data collection problems and discuss scientific validity by using different data sources, such as existing web-surveys, social networks, and other web 2.0 technologies. WEBDATANET will generate innovative ideas, address the latest technological options, synergise knowledge, foster the drafting of cross-national research proposals, and provide new tools and guidance for researchers, official bodies, and statistical institutes.WEBDATANET will promote web-based data usage in the EU by supplying web-based teaching and discussion platforms, disseminating findings, and organizing conferences, working groups, and research exchanges. It will contribute to the theoretical foundation of web-based data collection, stimulate its integration into the entire research process (e-science), and enhance its credibility in the name of public interest.
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