| Open knowledge|
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|Related keyword(s)||Open content, Open source|
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Open knowledge is included as keyword or extra keyword in 0 datasets, 0 tools and 4 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Beyond open source software: Framework and implications for open content research||Chitu Okoli
|ECIS 2013 - Proceedings of the 21st European Conference on Information Systems||English||2013||The same open source philosophy that has been traditionally applied to software development can be applied to the collaborative creation of non-software information products, such as books, music and video. Such products are generically referred to as open content. Due largely to the success of large projects such as Wikipedia and the Creative Commons, open content has gained increasing attention not only in the popular media, but also in scholarly research. It is important to investigate the workings of the open source process in these new media of expression. This paper introduces the scope of emerging research on the open content phenomenon beyond open source software. We develop a framework for categorizing copyrightable works as utilitarian, factual, aesthetic or opinioned works. Based on these categories, we review some key theory-driven findings from open source software research and assess the applicability of extending their implications to open content. We present a research agenda that integrates the findings and proposes a list of research topics that can help lay a solid foundation for open content research.||0||0|
|R-tools: Mediawiki extension for full-scale statistical computing||Villman J.
|Proceedings of the 9th International Symposium on Open Collaboration, WikiSym + OpenSym 2013||English||2013||Wikisystems are proven to be good for producing text and knowledge in collaborative manner but they are not designed to handle large amounts of numerical data. We needed a system that is capable for producing text and run calculations from datasets. For this purpose we created Opasnet which is a Mediawiki with integrated statistical computing extension and an external database for data. In our demonstration we will show how R (statistical software) can be integrated into Mediawiki as an extension (R-Tools) and how it can be used directly from wiki pages. This extension enables users to write R-code, run it and see the results of the calculation on the wiki page. R-tools can use data from external databases and this functionality is also demonstrated. First R-Tools demonstration was held at Wikisym 2012 in Linz. Now we will focus on its new features developed within this year. Categories and Subject Descriptors H.2.8 Database Applications: Scientific databases, Statistical databases; H.5.3 Group and Organization Interfaces: Collaborative computing, Web-based interaction General Terms Design, Experimentation. Copyright 2010 ACM.||0||0|
|Statistical computing and graphics in Opasnet Mediawiki||Villman J.
|WikiSym 2012||English||2012||Wikisystems are good for producing text and documents in collaborative manner. We want to extend this to cover mathematical model building as well. In our demonstration we will show how R (statistical software) can be integrated into Mediawiki as an extension (R-Tools) and how it can be used directly from wiki pages. This extension enables users to write R-code, run it and see the results of the calculation on the wiki page. R-tools can use data from external databases and this functionality is also demonstrated.||0||0|
|Collaborative structuring of knowledge by experts and the public||Morris T.
|CEUR Workshop Proceedings||English||2010||There is much debate on how public participation and expertise can be brought together in collaborative knowledge environments. One of the experiments addressing the issue directly is Citizendium. In seeking to harvest the strengths (and avoiding the major pitfalls) of both user-generated wiki projects and traditional expert-approved reference works, it is a wiki to which anybody can contribute using their real names, while those with specific expertise are given a special role in assessing the quality of content. Upon fulfillment of a set of criteria like factual and linguistic accuracy, lack of bias, and readability by non- specialists, these entries are forked into two versions: a stable (and thus citable) approved "cluster" (an article with subpages providing supplementary information) and a draft version, the latter to allow for further development and updates. We provide an overview of how Citizendium is structured and what it offers to the open knowledge communities, particularly to those engaged in education and research. Special attention will be paid to the structures and processes put in place to provide for transparent governance, to encourage collaboration, to resolve disputes in a civil manner and by taking into account expert opinions, and to facilitate navigation of the site and contextualization of its contents.||0||1|