%0 Book Section %B Big Data Factories %D 2017 %T Lessons Learned from a Decade of FLOSS Data Collection %A Crowston, Kevin %A Squire, Megan %E Matei, Sorin Adam %E Jullien, Nicolas %E Goggins, Sean P. %B Big Data Factories %I Springer International Publishing %C Cham %P 79 - 100 %@ 978-3-319-59185-8 %G eng %U http://link.springer.com/content/pdf/10.1007/978-3-319-59186-5 %R 10.1007/978-3-319-59186-5 %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 2007 %T Building a collaboratory for research on open source software development (Poster) %A James Howison %A Squire, Megan %A Kevin Crowston %K eScience %K FLOSS %B eSocial Science Conference %C Ann Arbor, MI %G eng %> https://crowston.syr.edu/sites/crowston.syr.edu/files/Howison_eSocSciPoster-small.pdf %0 Generic %D 2007 %T A proposed data and analysis archive for research on Free and Open Source Software and its development (Poster) %A James Howison %A Squire, Megan %A Kevin Crowston %K FLOSS %0 Generic %D 2007 %T A proposed data and analysis archive for research on Free and Open Source Software and its development (Poster) %A James Howison %A Squire, Megan %A Kevin Crowston %K FLOSS %B eSocial Science Conference %C Ann Arbor, MI %0 Journal Article %J International Journal of Information Technology and Web Engineering %D 2006 %T FLOSSmole: A collaborative repository for FLOSS research data and analyses %A James Howison %A Conklin, Megan S. %A Kevin Crowston %K FLOSSmole %X This paper introduces and expands on previous work on a collaborative project, called FLOSSmole (formerly OSSmole), designed to gather, share and store comparable data and analyses of free and open source software development for academic research. The project draws on the ongoing collection and analysis efforts of many research groups, reducing duplication, and promoting compatibility both across sources of FLOSS data and across research groups and analyses. The paper outlines current difficulties with the current typical quantitative FLOSS research process and uses these to develop requirements and presents the design of the system. %B International Journal of Information Technology and Web Engineering %V 1 %P 17–26 %G eng %N 3 %> https://crowston.syr.edu/sites/crowston.syr.edu/files/FLOSSmole.pdf %0 Conference Paper %B Symposium on Mining Software Repositories %D 2005 %T Collaboration Using OSSmole: A repository of FLOSS data and analyses %A Conklin, Megan S. %A James Howison %A Kevin Crowston %X This paper introduces a collaborative project OSSmole designed to collect, share, and store comparable data and analyses of free, libre and open source software (FLOSS) development for research purposes. The project is designed to be a clearinghouse for data from the ongoing collection and analysis efforts of many disparate research groups. A collaborative data repository will reduce duplication and promote compatibility both across sources of FLOSS data and across research groups and analyses. The primary objective of OSSmole is to mine FLOSS source code repositories and provide the resulting data and summary analyses as open source products. However, the OSSmole data model additionally supports donated raw and summary data from a variety of open source researchers and other software repositories. The paper first outlines current difficulties with the typical quantitative FLOSS research process and uses these to develop requirements for such a collaborative data repository. Finally, the design of the OSSmole system is presented, as well as examples of current research and analyses using OSSmole. %B Symposium on Mining Software Repositories %C St. Louis %8 05/2005 %G eng %> https://crowston.syr.edu/sites/crowston.syr.edu/files/CollaborationUsingOSSmole.pdf