Myria is a distributed, shared-nothing Big Data management system and Cloud service from the University of Washington. We derive requirements from real users and complex workflows, especially in science.
"Papers We Love is a repository of academic computer science papers and a community who loves reading them." Wait. People do this for /fun/?! ;)
Looks interesting although I'm not sure I quite understand the problem it is actually solving.
"hind-cite is a set of tools & data for analyzing the time-based performance of Hacker News posts."
Wow, I don't think I've found myself is such load disagreement with James. I think the FB study was research. I think that the OKCupid case is much less clear.
Includes both funded and unfunded proposals. I like the idea of keeping this online.
Really nice advice on how to write a good review. Not all (any?) of my reviews have been this good. I'll try to fix that in the future!
Looks interesting and reminds me a bunch of Andy Abbott's book on Methods of Discovery. I should go back and read that one again...
"All living things are gnarly, in that they inevitably do things that are much more complex than one might have expected. The shapes of tree branches are of course the standard example of gnarl. The life cycle of a jellyfish is way gnarly. The wild three-dimensional paths that a humming bird sweeps out are kind of gnarly too, and, if the truth be told, your ears are gnarly as well."
Very small and incomplete list ATM but perhaps it will grow.
"DataKindâ„¢ (formerly known as Data Without Borders) brings together leading data scientists with high impact social organizations through a comprehensive, collaborative approach that leads to shared insights, greater understanding, and positive action through data in the service of humanity."
CLOCKSS (Controlled LOCKSS) is a not for profit joint venture between the world’s leading academic publishers and research libraries whose mission is to build a sustainable, geographically distributed dark archive with which to ensure the long-term survival of Web-based scholarly publications for the benefit of the greater global research community.
Neal Caren's (UNC) data scraping/processing tutorial. Potentially a useful teaching/learning resource?
