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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao WU Researcharrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
WU Research
Conference object . 2017
Data sources: WU Research
https://doi.org/10.1109/cedem....
Article . 2017 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object
Data sources: DBLP
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Open Data Hopes and Fears: Determining the Barriers of Open Data

Authors: Martin Beno; Kathrin Figl; Jürgen Umbrich; Axel Polleres;

Open Data Hopes and Fears: Determining the Barriers of Open Data

Abstract

In recent years, Open Data has gained considerable attention: a steady growth in the number of openly published datasets – mainly by governments and public administrations - can be observed as the demand for Open Data rises. However, many potential providers are still hesitant to open their datasets and at the same time users often face difficulties when attempting to use this data in practice. This indicates that there are still various barriers present both regarding usage and publishing of Open Data, but studies that systematically collect and assess these barriers regarding their impact are rare. Based on this observation we survey prior literature on barriers, and have developed a questionnaire aimed at both assessing the users and publishers views on obstacles regarding Open Data adoption. Using a sample of over 100 participants from Austria who completed our online survey, we draw conclusions about the relative importance of the barriers reported in the literature. The empirical findings presented in this study shall serve as a solid foundation for future research on the mitigation of Open Data barriers.

Country
Austria
Related Organizations
Keywords

102006 Computer Supported Cooperative Work (CSCW), 102013 Human-computer interaction, 102006 Computer supported cooperative work (CSCW), 102013 Human-Computer Interaction, 102024 Usability Research, 502050 Business informatics, 501011 Kognitionspsychologie, 502050 Wirtschaftsinformatik, 102024 Usability research, 501011 Cognitive psychology, 503008 E-learning, 503008 E-Learning, 102015 Information systems, 102015 Informationssysteme

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    38
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
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