layout | title | tagline |
---|---|---|
page |
Access to personal data |
Update Jun 2018: GDPR is in effect, which means that until GHTorrent's legal status is cleared, we cannot distribute this data anymore.
As of Mar 2016, the GHTorrent project does not offer personal data (namely, emails and real names) for download. For research purposes, you can request access to a file containing a mapping between logins and personal data.
To access the file containing personal data, you will need to edit this page to include the following details. When your pull request has been accepted, we will mail you the link to the data.
{%highlight html%}
- Job Title email
- Date of request
- The actual date
- Why do you need the personal data?
- Provide an explanation
- Researcher
- Georgios Gousios, Assistant Prof. Radboud University Nijmegen, g.gousios@cs.ru.nl
- Date of request
- Mar 14, 2016
- Intended use
- Maintenance of the GHTorrent internal databases.
- Researcher
- Diomidis Spinellis, Professor, Athens University of Economics and Business, Greece, dds@aueb.gr
- Date of request
- July 1, 2016
- Intended use
- Research regarding commit practices of company employees. Correlate projects with commits through git blame.
- Researcher
- Tong WANG, Lecturer, University of Edinburgh tong.wang@ed.ac.uk
- Date of request
- Aug. 30, 2016
- Intended use
- Research regarding Open Source software network, especially focus on the interaction between programming habitants and company employees
- Researcher
- Chris Chabot, Semmle.com chabotc@semmle.com
- Date of request
- Dec. 11, 2016
- Intended use
- Normalizing and de-duplicating of author contribution data on our free for open source lgtm.com project, which provides source code analysis and fault detection, as well as showing coding velocity and quality per author and organization
- Undergraduate
- Davide Primiceri, Student Computer Science, University of Bari, Italy. d.primiceri@studenti.uniba.it
- 21 April, 2017
- Needed for Degree Thesis
- I am doing my degree thesis on the topic 'Evaluating the effects of multitasking among the open source projects of GitHub'. In order to do my analysis work, i need to combine GitHub data with Travis data. Thus i require the name and other login details of all users. Kindly share the personal data with me.
- Researcher
- Bogdan Vasilescu, Assistant Professor, School of Computer Science, Carnegie Mellon University vasilescu@cmu.edu
- Date of request
- June 1, 2017
- Intended use
- Research regarding gender diversity in GitHub teams.
- Graduate Student
- Farhana Sarker, Computer Science Graduate Student, College of Engineering, University of California Davis fasarker@ucdavis.edu
- Date of request
- September 16, 2017
- Intended use
- Research regarding multitasking in GitHub teams.
- Researcher
- Guanliang Chen, PhD candidate, Web Information Systems group, EEMCS, TU Delft guanliang.chen@tudelft.nl
- Date of request
- Oct 30, 2017
- Intended use
- To match learners in edX and investigate to what extend learners from programming MOOCs applied the knowledge into practice.
- Postdoctoral Researcher
- Ayushi Rastogi, UC Irvine ayushir@ics.uci.edu
- Date of request
- November 30, 2017
- Why do you need the personal data?
- My research focus is empirical software engineering, with a particular interest in human traits, team performance, and collaboration patterns.
- PhD Student
- Harsh Ketkar, University of Michigan hketkar@umich.edu
- Date of request
- January 18, 2018
- Why do you need the personal data?
- I am researching how contribution patterns of individual developers change over time and across platforms.
- Researcher
- Emerson Murphy-Hill, North Carolina State University, emerson@csc.ncsu.edu
- Date of request
- April 24, 2018
- Why do you need the personal data?
- I will use email addresses to cross-reference GitHub accounts with social media accounts.
The data is provided as is with no further guarantees of data quality or law compliance. Redistribution is strictly not allowed! The GHTorrent project is not responsible for any illegal uses of the provided data.