background preloader

Data/ Networks

Facebook Twitter Raises $2 Million To Make Even More Infographics., the team built from the infographics team behind Mint’s spectacular infographics, has raised $2 million in seed funding, led by Crosslink Capital, SoftTech and 500 Startups as well as angels Kapor Capital, Giza Ventures, Naval Ravikant, Mark Goines, Josh James and others. Raises $2 Million To Make Even More Infographics

According to its financing release, has had 26K users sign up to be a part its beta (coming soon), over 300K infographics created, received over one million pageviews monthly to its website and has doubled the number of indexed infographics it hosts since it demoed in April. Pre-beta launch the company has already partnered up with media companies like The Atlantic, BuzzFeed, AskMen, CNNMoney, GOOD, The Economist, NASDAQ, Skype, National Geographic, Wall Street Journal to provide their infographics and data visualizations solutions. “We are defining a new space — allowing users to create sexy, high impact data visualizations,” says co-founder Stew Langille. How Data Will Impact the Future of Healthcare (Infographic) IBM staff storyteller Chris Luongo has created a great infographic explaining the different ways that healthcare could become data driven in the future.

How Data Will Impact the Future of Healthcare (Infographic)

The IBM Smarter Planet blog calls it Smarter Healthcare. We've embedded the infographic below in Microsoft's new web page viewer Photo by Jeffrey Gluck The data mining part of this story is one of the most interesting to me. As one online resource has explained: Medical (or clinical) databases have accumulated large amounts of data on patients and their medical conditions. Where there is data, there is opportunity for analysis and building added value.

See also: How Location Services Could Impact Healthcare. La visualisation des données : l’art de simplifier le compliqué. Data Visualization. A visual exploration on mapping complex networks. VC blog. Posted: February 19th, 2014 | Author: Manuel Lima | Filed under: Uncategorized | No Comments » As many readers might have noticed, from my first and most recent book, I’m slightly obsessed with medieval information design, and the remarkable work of many our visualization forefathers, such as Isidore of Seville (ca. 560–636), Lambert of Saint-Omer (ca. 1061–ca. 1125), or Joachim of Fiore (ca. 1135–1202).

VC blog

An important figure in this context was the German historian and cartographer Hartmann Schedel (1440–1514). In 1493, in the city of Nuremberg, Germany, Schedel published a remarkable, densely illustrated and technically advanced incunabulum (a book printed before 1501), entitled the Nuremberg Chronicle. Also know as Liber Chronicarum (Book of Chronicles), this universal history of the world was compiled from older and contemporary sources, and comprised 1,809 woodcuts produced from 645 blocks. You can read more about Taschen’s copy here and here. The final cover of The Book of Trees. Linked Data - Connect Distributed Data across the. Linked Data for Libraries. Linked Data and bibliographic metadata models © PhOtOnQuAnTiQuE Some time after I wrote “UMR – Unified Metadata Resources“, I came across Chris Keene’s post “Linked data & RDF : draft notes for comment“, “just a list of links and notes” about Linked Data, RDF and the Semantic Web, put together to start collecting information about “a topic that will greatly impact on the Library / Information management world“.

Linked Data for Libraries

While reading this post and working my way through the links on that page, I started realising that Linked Data is exactly what I tried to describe as One single web page as the single identifier of every book, author or subject. I did mention Semantic Web, URI’s and RDF, but the term “Linked Data” as a separate protocol had escaped me. The concept of Linked Data was described by Tim Berners Lee, the inventor of the World Wide Web. I will try to illustrate the different aspects using some examples from the library world. Examples: You can also reverse this relationship: Triple.