TY - CHAP T1 - Lessons Learned from a Decade of FLOSS Data Collection T2 - Big Data Factories Y1 - 2017 A1 - Crowston, Kevin A1 - Squire, Megan ED - Matei, Sorin Adam ED - Jullien, Nicolas ED - Goggins, Sean P. JF - Big Data Factories PB - Springer International Publishing CY - Cham SN - 978-3-319-59185-8 UR - http://link.springer.com/content/pdf/10.1007/978-3-319-59186-5 ER - TY - Generic T1 - Towards a data and workflow collaboratory for research on Free and Open Source Software and its development (Poster) Y1 - 2008 A1 - James Howison A1 - Squire, Megan A1 - Kevin Crowston KW - eScience KW - FLOSS KW - Workflow JF - iConference CY - Los Angeles, CA ER - TY - Generic T1 - Building a collaboratory for research on open source software development (Poster) Y1 - 2007 A1 - James Howison A1 - Squire, Megan A1 - Kevin Crowston KW - eScience KW - FLOSS JF - eSocial Science Conference CY - Ann Arbor, MI ER - TY - Generic T1 - A proposed data and analysis archive for research on Free and Open Source Software and its development (Poster) Y1 - 2007 A1 - James Howison A1 - Squire, Megan A1 - Kevin Crowston KW - FLOSS ER - TY - Generic T1 - A proposed data and analysis archive for research on Free and Open Source Software and its development (Poster) Y1 - 2007 A1 - James Howison A1 - Squire, Megan A1 - Kevin Crowston KW - FLOSS JF - eSocial Science Conference CY - Ann Arbor, MI ER - TY - JOUR T1 - FLOSSmole: A collaborative repository for FLOSS research data and analyses JF - International Journal of Information Technology and Web Engineering Y1 - 2006 A1 - James Howison A1 - Conklin, Megan S. A1 - Kevin Crowston KW - FLOSSmole AB - 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. VL - 1 IS - 3 ER - TY - CONF T1 - Collaboration Using OSSmole: A repository of FLOSS data and analyses T2 - Symposium on Mining Software Repositories Y1 - 2005 A1 - Conklin, Megan S. A1 - James Howison A1 - Kevin Crowston AB - 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. JF - Symposium on Mining Software Repositories CY - St. Louis ER -