@conference {Robles:2014:FSD:2597073.2597129,
	title = {FLOSS 2013: A Survey Dataset About Free Software Contributors: Challenges for Curating, Sharing, and Combining},
	booktitle = {Proceedings of the 11th Working Conference on Mining Software Repositories},
	series = {MSR 2014},
	year = {2014},
	pages = {396{\textendash}399},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {In this data paper we describe a data set obtained by means of performing an on-line survey to over 2,000 Free Libre Open Source Software (FLOSS) contributors. The survey includes questions related to personal characteristics (gender, age, civil status, nationality, etc.), education and level of English, professional status, dedication to FLOSS projects, reasons and motivations, involvement and goals. We describe as well the possibilities and challenges of using private information from the survey when linked with other, publicly available data sources. In this regard, an example of data sharing will be presented and legal, ethical and technical issues will be discussed.
},
	keywords = {anonymization, data combining, data sharing, ethics, free software, microdata, msr data showcase, open data, open source, privacy, Survey},
	isbn = {978-1-4503-2863-0},
	doi = {10.1145/2597073.2597129},
	url = {http://doi.acm.org/10.1145/2597073.2597129},
	attachments = {https://flosshub.org/sites/flosshub.org/files/msr14gregorio.pdf},
	author = {Gregorio Robles and Reina, Laura Arjona and Serebrenik, Alexander and Vasilescu, Bogdan and Gonz{\'a}lez-Barahona, Jes{\'u}s M.}
}
@conference {Gousios:2014:LGG:2597073.2597126,
	title = {Lean GHTorrent: GitHub Data on Demand},
	booktitle = {Proceedings of the 11th Working Conference on Mining Software Repositories},
	series = {MSR 2014},
	year = {2014},
	pages = {384{\textendash}387},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {In recent years, GitHub has become the largest code host in the world, with more than 5M developers collaborating across 10M repositories. Numerous popular open source projects (such as Ruby on Rails, Homebrew, Bootstrap, Django or jQuery) have chosen GitHub as their host and have migrated their code base to it. GitHub offers a tremendous research potential. For instance, it is a flagship for current open source development, a place for developers to showcase their expertise to peers or potential recruiters, and the platform where social coding features or pull requests emerged. However, GitHub data is, to date, largely underexplored. To facilitate studies of GitHub, we have created GHTorrent, a scalable, queriable, offline mirror of the data offered through the GitHub REST API. In this paper we present a novel feature of GHTorrent designed to offer customisable data dumps on demand. The new GHTorrent data-on-demand service offers users the possibility to request via a web form up-to-date GHTorrent data dumps for any collection of GitHub repositories. We hope that by offering customisable GHTorrent data dumps we will not only lower the "barrier for entry" even further for researchers interested in mining GitHub data (thus encourage researchers to intensify their mining efforts), but also enhance the replicability of GitHub studies (since a snapshot of the data on which the results were obtained can now easily accompany each study).
},
	keywords = {data on demand, dataset, github, msr data showcase},
	isbn = {978-1-4503-2863-0},
	doi = {10.1145/2597073.2597126},
	url = {http://doi.acm.org/10.1145/2597073.2597126},
	attachments = {https://flosshub.org/sites/flosshub.org/files/lean-ghtorrent_0.pdf},
	author = {Gousios, Georgios and Vasilescu, Bogdan and Serebrenik, Alexander and Zaidman, Andy}
}
