Data & Stuff // Neil Houston

Spotted: November 7th – November 11th:

• Misfit Entrepreneurs – Dan Pallotta – Harvard Business Review – He mentioned that in his conversations the thing that stood out most was the willingness of great entrepreneurs to be vulnerable. It's not the first association you'd make with an entrepreneur.
• google-refine – Project Hosting on Google Code – Google Refine is a power tool for working with messy data, cleaning it up, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase.
• 1.0 Is the Loneliest Number — Matt Mullenweg – In that short rapid iteration environment the most important thing isn’t necessarily how perfect code is when you send it out, but how quickly you can revert if you need to so the cost of a mistake is really low, under a minute of brokenness
• Symbiote [beta] :: Stylesheet editing that’s almost alien – Need to find CSS of a website? Just use this bookmarklet.
• How The Guardian is pioneering data journalism with free tools » Nieman Journalism Lab – The Guardian takes data journalism seriously. They obtain, format, and publish journalistically interesting data sets on their Data Blog, they track transparency initiatives in their searchable index of world government data, and they do original research on data they’ve obtained, such as their amazing in-depth analysis of 90,000 leaked Afghanistan war documents.
• Adding Cabbie Know-How to Online Maps – Technology Review – Nobody knows how to get around a city like a taxi driver. A new method for creating online maps taps into that expertise.

Spotted: October 19th – October 25th:

• Help Me Investigate – anatomy of an investigation | Online Journalism Blog – Paul Bradshaw and Andy Brightwell conducted some research into one of the successful investigations on the crowdsourcing platform Help Me Investigate. This looks at how that investigation worked, and might assist others.
• Data-as-a-Service: Factual, InfoChimps & Google Squared: Business Collaboration News « – In 2004, Tim O’Reilly’s famous Web 2.0 manifesto suggested that “data would be the next Intel Inside,” and that any Internet service of significance would be underpinned by specialized datasets, such as Amazon’s product database or Foursquare’s places.
• MediaPost Publications Times Offers Details On ‘Metered-Model’ During Earnings Call 10/20/2010 – Meanwhile, the so-called "metered model" will allow readers who are referred from third-party sites such as blogs, social media networks and search engines access to specific content "without triggering the gate, which will preserve NYTimes.com's significant reach and advertising inventory," according to Robinson.
• Can Twitter predict the stock market? – A new research study suggests that comments posted on the social networking site Twitter can predict swings in the US Dow Jones market.
• Big Money for Companies That Can Analyze Big Data – As data volumes skyrocket, startups looking to take advantage of the opportunity in Big Data need to focus on the art of statistical-learning algorithms, says Michael Driscoll, founder of Dataspora

« Older Entries