1. The document discusses using eResearch approaches like shared data, analyses, and cyberinfrastructure to support collaborative research on free/libre and open source software (FLOSS). 2. The authors are replicating and extending several FLOSS research papers using workflow tools to make the analyses reusable, flexible, and easy to share. 3. Preliminary results found that eResearch approaches show promise for advancing social science research by facilitating analysis extension, replication, and sensitivity testing.

1. Replication of FLOSS Research as eResearch Andrea Wiggins, James Howison, & Kevin Crowston Syracuse University School of Information Studies 12 September 2008 ~ Oxford e-Research Conference

5. Studies Selected for Replication Classifies projects based on metrics for success and stage of project growth English & Schweik, 2007 Examines growth rate of software Robles et al., 2005 Examines dynamics of social networks of project communications over time Howison et al., 2006 Examines distribution of project sizes for consistency with preferential attachment theory of growth in scale-free network Conklin, 2004 Applies competency rallying to predict success of projects based on various factors Scozzi & Crowston, 2002 Description Study

8. Do the Rich Get Richer? 1: Get data 2: Analyze data

9. Dynamic Social Network Analysis 1: Get data 2: Manipulate data 3: Analyze & plot

10. Classification of Projects 1: Get data & prepare it for analysis 2: Classify 3: Analyze classification

12. Comparing Results Developer-project distribution Distribution on log-log scale Original figures Replication