@article {Howison:2008a,
	title = {Towards a data and workflow collaboratory for research on Free and Open Source Software and its development (Poster)},
	year = {2008},
	address = {Los Angeles, CA},
	keywords = {eScience, FLOSS, Workflow},
	author = {James Howison and Squire, Megan and Kevin Crowston}
}
@article {Howison:2007,
	title = {Building a collaboratory for research on open source software development (Poster)},
	year = {2007},
	address = {Ann Arbor, MI},
	keywords = {eScience, FLOSS},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/Howison_eSocSciPoster-small.pdf},
	author = {James Howison and Squire, Megan and Kevin Crowston}
}
@article {2007,
	title = {A proposed data and analysis archive for research on Free and Open Source Software and its development (Poster)},
	year = {2007},
	keywords = {FLOSS},
	author = {James Howison and Squire, Megan and Kevin Crowston}
}
@article {2007,
	title = {A proposed data and analysis archive for research on Free and Open Source Software and its development (Poster)},
	year = {2007},
	address = {Ann Arbor, MI},
	keywords = {FLOSS},
	author = {James Howison and Squire, Megan and Kevin Crowston}
}
@conference {Conklin:2005,
	title = {Collaboration Using OSSmole: A repository of FLOSS data and analyses},
	booktitle = {Symposium on Mining Software Repositories},
	year = {2005},
	month = {05/2005},
	address = {St. Louis},
	abstract = {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.},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/CollaborationUsingOSSmole.pdf},
	author = {Conklin, Megan S. and James Howison and Kevin Crowston}
}
@conference {2005,
	title = {OSSmole: A collaborative repository for FLOSS research data and analyses},
	booktitle = {1st International Conference on Open Source Software},
	year = {2005},
	address = {Genova, Italy},
	abstract = {This paper introduces a collaborative project, {\textquotedblleft}OSSmole{\textquotedblright}, 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. },
	keywords = {FLOSSmole},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/OSSmole\%20\%20A\%20collaborative\%20repository_0.pdf},
	author = {James Howison and Conklin, Megan S.}
}
