This is an older post (May 2007) from Michael Geist, but well worth a read, regarding Canada’s National Science and Tech Strategy. He argues that opening up government-funded R&D data will result in more innovation. He has two specific recommendations:

  1. the government should identify the raw data under its control and set it free. Onerous licensing conditions are a hinderance to commercialization and accountability for taxpayer funded research.
  2. Federal research granting institutions should build open access requirements into their research mandates.

From the post:

I argue that maximizing the value of Canada’s investment in research requires far more than tax breaks and improved accountability mechanisms. Instead, government must rethink how publicly-funded scientific data and research results flow into the hands of researchers, businesses, and individuals.

Achieving that goal requires action on two fronts. First, the government should identify the raw, scientific data currently under its control and set it free. Implementing expensive or onerous licensing conditions for this publicly-funded data runs counter to the goals of commercialization and to government accountability for taxpayer expenditures….

Second, Ottawa must pressure the three federal research granting institutions to build open access requirements into their research mandates.

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Mix up and make pretty your data at Swivel:

Swivel’s mission is to liberate the world’s data and make it useful so new insights can be discovered and shared…

We believe data is most valuable when it’s out in the open where everyone can see it, debate it, have fun, and share new insights. Swivel is applying the power of the Web to data so that life gets better.

UPDATE: The graph below is titled: “The iPhone: did it shake up the phone market?”, and can be found here, with some added context/

swivel

This presentation is not actually about podcasting, it’s about data…but it was presented at podcastersacrossborders, and LibriVox is the inspiration for these thoughts.

presentation

Today’s New York Times has a story on regional variation in the availability and cost of health care. The story is accompanied by a “multimedia interactive graphic” — that is, a Flash visualization that chartsvariables on a U.S. map …For each mapped variable, mousing over the displayed hospital referral regions yields the local, state, and national values for that variable.

It’s nicely done. There’s no question that, as of mid-2007, this is cutting-edge data interactivity for the mainstream. But times are changing fast. The Times sourced this data from the Dartmouth Atlas of Health Care. It took me five minutes to download the surgical data, upload it to Dabble DB, and publish a similar map along with a complete tabular dump.

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The great and famous Rosling Video, about data, from TED.

Not canadian but could be?  We have the best Radarsat data in the world  and have done some great work in the past with tracking down toxic bins floating around in flood zones using radar.  Radar is the only remote sensing technique that will cut through rain, fog, and cloud cover thus ideal during tropical storms, or for rainforest imagery.

The funding mechanism is also very interesting.

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