@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 {Robles:2005:DIM:1083142.1083162,
	title = {Developer identification methods for integrated data from various sources},
	booktitle = {Proceedings of the 2005 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}05},
	year = {2005},
	pages = {106-110},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Studying a software project by mining data from a single repository has been a very active research field in software engineering during the last years. However, few efforts have been devoted to perform studies by integrating data from various repositories, with different kinds of information, which would, for instance, track the different activities of developers. One of the main problems of these multi-repository studies is the different identities that developers use when they interact with different tools in different contexts. This makes them appear as different entities when data is mined from different repositories (and in some cases, even from a single one). In this paper we propose an approach, based on the application of heuristics, to identify the many identities of developers in such cases, and a data structure for allowing both the anonymized distribution of information, and the tracking of identities for verification purposes. The methodology will be presented in general, and applied to the GNOME project as a case example. Privacy issues and partial merging with new data sources will also be considered and discussed.},
	keywords = {anonymization, bug tracker, developers, email, email address, gnome, identity, mailing list, privacy, source code, version control},
	isbn = {1-59593-123-6},
	doi = {http://doi.acm.org/10.1145/1082983.1083162},
	url = {http://doi.acm.org/10.1145/1082983.1083162},
	attachments = {https://flosshub.org/sites/flosshub.org/files/106DeveloperIdentification.pdf},
	author = {Gregorio Robles and Jesus M. Gonzalez-Barahona}
}
