%0 Conference Paper %B 4S conference %D 2009 %T Tales of the Field: Building Small Science Cyberinfrastructure %A Wiggins, Andrea %K FLOSS %B 4S conference %> https://floss.syr.edu/sites/crowston.syr.edu/files/BuildingSmallScienceCyberinfrastructureFinal.pdf %0 Generic %D 2008 %T Taverna Demo Screencast Redux %A James Howison %E Wiggins, Andrea %K Data Management %K FLOSS %X This is a shortened version of the Taverna Demo screencast by James Howison. It was edited by Andrea Wiggins for use in a data analysis lecture for the IST 400/600 course on Science Data Management. The reduced version is just over 14 minutes long and omits some of the more technical discussion to focus on the tool demo for a general audience. %> https://floss.syr.edu/sites/crowston.syr.edu/files/TavernaDemoRedux.m4v %0 Generic %D 2008 %T Taverna Demonstration Screencast %A James Howison %K Data Management %K FLOSS %X A screencast prepared for the Irvine workshop on FLOSS data repositories. %> https://floss.syr.edu/sites/crowston.syr.edu/files/tavernaDemoScreencast.mov %0 Generic %D 2008 %T Towards a data and workflow collaboratory for research on Free and Open Source Software and its development (Poster) %A James Howison %A Squire, Megan %A Kevin Crowston %K eScience %K FLOSS %K Workflow %B iConference %C Los Angeles, CA %G eng %0 Generic %D 2008 %T Towards A review of the empirical FLOSS literature %A Kevin Crowston %A James Howison %A Kangning Wei %A Eseryel, U. Yeliz %A Li, Qing %K FLOSS %> https://floss.syr.edu/sites/crowston.syr.edu/files/ReviewProgressReport.pdf %0 Conference Paper %B Workshop on Open Source Software Engineering, 26th International Conference on Software Engineering %D 2004 %T Towards a portfolio of FLOSS project success measures %A Kevin Crowston %A Annabi, Hala %A James Howison %A Masango, Chengetai %X Project success is one of the most widely used dependent variables in information systems research. However, conventional measures of project success are difficult to apply to Free/Libre Open Source Software projects. In this paper, we present an analysis of four measures of success applied to SourceForge projects: number of members of the extended development community, project activity, bug fixing time and number of downloads. We argue that these four measures provide different insights into the collaboration and control mechanisms of the projects. %B Workshop on Open Source Software Engineering, 26th International Conference on Software Engineering %C Edinburgh %G eng %> https://floss.syr.edu/sites/crowston.syr.edu/files/Towards_a_Portfolio_%20of%20_FLOSS_Project.pdf