DataCatalogs.org aims to be the most comprehensive list of open data catalogs in the world. It is curated by a group of leading open data experts from around the world - including representatives from local, regional and national governments, international organisations such as the World Bank, and numerous NGOs.
The alpha version of DataCatalogs.org was launched at OKCon 2011 in Berlin. We have plenty of useful improvements and features in the pipeline, which will be launched over the coming months …
Kalika N. Doloswala and Ann Dadich (2011). The accidental criminal: Using policy to curb illegal downloading. First Monday, Volume 16, Number 6 - 6
ABSTRACT: Illegal downloading is a multifaceted social issue. In addition to the loss of intellectual property and revenue for copyright holders, it can implicate perpetrators into the criminal justice system. Despite legislative attempts to curb illegal downloading, lessons to date suggest these do little to reduce the activity. Drawing on psychological literature, this paper offers an innovative approach to address illegal downloading. Attribution theory aims to aid understanding of the causes of human behaviour and highlights the important role of perception. It suggests that illegal downloading might be moderated by increasing opportunities for engagement between the owners and users of intellectual property. Rather than using policy and legislation to restrain access to intellectual property, this theory suggests that policy that closes proximal distances and creates psychological contracts might be effective in curbing these practices. Examples from the music industry are discussed as evidence that this approach can be successful in changing downloader behaviour. To date, public policy informed by attribution theory has not been tested as a way to prevent illegal downloading. The paper concludes that there is a need to examine and critically evaluate non–punitive approaches to curbing illegal downloading from a policy perspective.
Cuihua Shen and Peter Monge (2011). Who connects with whom? A social network analysis of an online open source software community. First Monday, Volume 16, Number 6
ABSTRACT: By examining “who connects with whom” in an online community using social network analysis, this study tests the social drivers that shape the collaboration dynamics among a group of participants from SourceForge, the largest open source community on the Web. The formation of the online social network was explored by testing two distinct network attachment logics: strategic selection and homophily. Both logics received some support. Taken together, the results are suggestive of a “performance–based clustering” phenomenon within the OSS online community in which most collaborations involve accomplished developers, and novice developers tend to partner with less accomplished and less experienced peers.