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You can learn a lot about the world from Wikipedia, sometimes without reading the articles. Kalev Leetaru, a researcher at the University of Illinois, has been looking at the capacious volunteer-written encyclopedia as a Big Data resource, concentrating on the connections between cities around the globe over time. To understand these connections, he focuses on the type of language used to talk about a particular place, to see whether the writers have a generally positive or negative sentiment toward the place at that time.

Visualizing.org is a community of creative people working to make sense of complex issues through data and design… and it's a shared space and free resource to help you achieve this goal.

When you develop apps, you use the iOS software development kit (SDK) and Xcode, Apple's integrated development environment (IDE). Xcode provides everything you need to create great apps for iPhone, iPod touch, and iPad. It includes a source editor, a graphical user interface editor, and many other features-from customizable builds to source repository management. Xcode employs a single window, called the workspace window, that holds most of the data you need. With Xcode, you smoothly transition from writing code, to debugging, to designing your user interface, all within the same window. The iOS SDK extends the Xcode toolset to include the tools, compilers, and frameworks you need specifically for iOS.

This one came about because I was searching for a data set on horror films (don't ask) and ended up with one describing the links between philosophers. To cut a long story very short I've extracted the information in the influenced by section for every philosopher on Wikipedia and used it to construct a network which I've then visualised using gephi It's an easy process to repeat. It could be done for any area within Wikipedia where the information forms a network. I chose philosophy because firstly the influences section is very well maintained and secondly I know a little bit about it. At the bottom of this post I've described how I got there.

The exploration of human anatomy and conditions using over 3000 3D peer reviewed objects. Utilities for searching, relationships, dissection, bookmarking, cross sections, data integration and exporting images are provided.

Over the past decade or so, the Internet has become a huge source of information and education, especially for those who might be short on time, money or other resources. And it's not just crowdsourced data collections like Wikipedia or single-topic blogs that encourage individual learning; huge corporations and nonprofits are making online education and virtual classrooms a very formal affair these days.

A conversation with David Weinberger about facts, fiction and forecasts

Wikipedia stands as an undeniable success in online participation and collaboration. However, previous attempts at studying collaboration within Wikipedia have focused on simple metrics like rigor (i.e., the number of revisions in an article's revision history) and diversity (i.e., the number of authors that have contributed to a given article) or have made generalizations about collaboration within Wikipedia based upon the content validity of a few select articles. By looking more closely at metrics associated with each extant Wikipedia article (N=3,427,236) along with all revisions (N=225,226,370), this study attempts to understand what collaboration within Wikipedia actually looks like under the surface. Findings suggest that typical Wikipedia articles are not rigorous, in a collaborative sense, and do not reflect much diversity in the construction of content and macro-structural writing, leading to the conclusion that most articles in Wikipedia are not reflective of the collaborative efforts of the community but, rather, represent the work of relatively few contributors.

Images are an important form of knowledge that allow us to develop understandings about our world. Flickr is the world's most used and most popular public repository of photographs and currently hosts over five billion images. This map reveals the global geographic distribution of geotagged images on the platform, and thus reveals the density of visual representations and locally depicted knowledge of all places on our planet.

This sixth volume of PISA 2009 results explores students' use of information technologies to learn. . In 2009, students in 19 countries and economies took a PISA test using computers which tested their ability to navigate and evaluate information on line. Students also filled in a background questionnaire providing information on their use of computers both in school and at home.