Hi, everyone, In addition to the statistical analysis tools, I wanted to point people toward a couple of sites that provide some of the analytics. The most relevant is the Spanish startup Bitergia. You may be particularly interested in this: https://bitergia.com/products/community-analytics/
You should also look at the annual Mining Software Repositories workshop, usually held in conjunction with the International Conference on Software Engineering. Last year's site is http://2017.msrconf.org and the Call for Papers for 2018 is at https://2018.msrconf.org/ Note that they emphasize publishing of the data used for the research studies by the use of appropriate licenses and open source practices such as - Archive their data on preserved archives such as zenodo.org and figshare.com, so that the data will receive a DOI and become citable. - Use the CC0 dedication <https://wiki.creativecommons.org/wiki/CC0> when publishing the data (automatic when using zenodo and figshare), as explained on the Creative Commons site <https://wiki.creativecommons.org/wiki/CC0_use_for_data> - Submit your paper to arXiv.org <http://arxiv.org> and choose the arXiv.org perpetual, non-exclusive license to distribute <http://arxiv.org/licenses/nonexclusive-distrib/1.0/>. The paper version at this point is before peer-reviewed, and it is called preprint. - Upon acceptance, revise your article according to the peers' comments, generate a PDF version of it, and submit it to arXiv.org, which supports article versioning. Finally, there's a lot of project data on Black Duck's OpenHub <https://openhub.net> site (formerly ohloh.net). They've provided a lot of raw data, but you can also sign up for access to the data via an API and then feed it to your favorite analysis tools. I hope that this is helpful to you. Cheers, Tony Wasserman http://www.linkedin.com/in/tonywasserman http://about.me/tony.wasserman/bio On Wed, Nov 1, 2017 at 10:11 AM, Jen Kelchner <[email protected]> wrote: > Hello, Community! > > I was hoping you could help us out as we are seeking recommendations on > open source software related to research. > > > - Qualitative Research Analysis Software comparable to NVivo > - Quantitative Research Analysis Software comparable to SPSS > > Any help and direction is much appreciated! > > Thanks, > > Jen > > *Jen Kelchner * > CEO > Speaker, Author, Open Evangelist > > > M: +1 (615) 663-0524 <(615)%20663-0524> | O: +1 (470) 485-3721 > <(470)%20485-3721> > > <http://twitter.com/jenkelchner> > <https://linkedin.com/in/jenniferkelchner> > > > > > > Confidentiality Notice: This message, including any attachment(s), may > contain confidential information protected by law. The information > contained herein is for the sole use of the intended recipient(s). If you > have received this message in error, please contact the sender at the > e-mail address listed above and destroy all copies of the original message, > including any attachments. Thank you. > > > _______________________________________________ > Openorg-list mailing list > [email protected] > https://www.redhat.com/mailman/listinfo/openorg-list > >
_______________________________________________ Openorg-list mailing list [email protected] https://www.redhat.com/mailman/listinfo/openorg-list
