Webdatanet : Innovation and quality in web-based data collection
Details
Download: ijis9_1_supplement WEBDATANET 2014.pdf (616.67 [Ko])
State: Public
Version: Final published version
State: Public
Version: Final published version
Serval ID
serval:BIB_A360F21D27F6
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Webdatanet : Innovation and quality in web-based data collection
Journal
International Journal of Internet Science
ISSN
1662-5544
Publication state
Published
Issued date
2014
Volume
9
Number
1
Pages
64-71
Language
english
Notes
Non peer-reviewed supplement.
Abstract
The article discusses the development of WEBDATANET established in 2011 which aims to create a multidisciplinary network of web-based data collection experts in Europe. Topics include the presence of 190 experts in 30 European countries and abroad, the establishment of web-based teaching and discussion platforms and working groups and task forces. Also discussed is the scope of the research carried by WEBDATANET.
In light of the growing importance of web-based data in the social and behavioral sciences, WEBDATANET was established in 2011 as a COST Action (IS 1004) to create a multidisciplinary network of web-based data collection experts: (web) survey methodologists, psychologists, sociologists, linguists, economists, Internet scientists, media and public opinion researchers. The aim was to accumulate and synthesize knowledge regarding methodological issues of web-based data collection (surveys, experiments, tests, non-reactive data, and mobile Internet research), and foster its scientific usage in a broader community.
In light of the growing importance of web-based data in the social and behavioral sciences, WEBDATANET was established in 2011 as a COST Action (IS 1004) to create a multidisciplinary network of web-based data collection experts: (web) survey methodologists, psychologists, sociologists, linguists, economists, Internet scientists, media and public opinion researchers. The aim was to accumulate and synthesize knowledge regarding methodological issues of web-based data collection (surveys, experiments, tests, non-reactive data, and mobile Internet research), and foster its scientific usage in a broader community.
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21/01/2015 14:48
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20/08/2019 15:09