Last weekend of March 12-13th in Barcelona took place the event Procomuns, an encounter which aims to highlight the relevance of the commons-oriented approach of peer production and collaborative economy, while proposing public policies and providing technical guidelines to build software platforms for collaborative communities.

As part of the program there was a data contest were participants should develop visualizations which allow identification of new relations among data gathered around the Commons Collaborative Economy in the P2P value project.The data consist on a dataset containing more than 300 cases of Commons Based Peer Production, it can be found here.

I participated with a data visualization displaying a network connecting these cases, based on how similar the cases can be, considering that projects that share a concrete number of tags, then they can be connected each other. My proposal was basically a quick shot, and much of the effort was on the data curation phase. I am relatively happy with the data visualization, as I expected to detect communities of projects sharing specific subsets of tags, but the resulting network was a highly connected graph that serves more as a data exploration tools. Despite of that, I’ve got the first prize which was a happy surprise. Anyway, I am considering to dedicate more time on the data so I can get better results on the data visualization side.

You can also find the source code on Github.