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jerryking : chicken-and-egg   3

We can’t afford a postinstitutional society - The Globe and Mail
Mar. 11 2015 | The Globe and Mail |STEPHEN TOOPE.

Institutions matter. One of the markers of advanced industrial societies is their rich network of institutions that support good governance, ensure security, provide needed social services and foster educated work forces. There is a continuing debate in the developing world about whether strong institutions are needed for economic growth or whether they result from the achievement of a certain income level. What is not in dispute is that successful societies thrive with strong institutions and decay without them.

Crowdsourcing may enable a startup tech company to survive another day; it may help a sick child gain access to specialized medical care. It will never replace a stock exchange or build a health system that’s available to all.

Google may soon produce a car that can drive itself. But that car can function only if there are socially mandated rules of the road that allow programmers to know on what side of the street the car should run, and what to do at a red light.
institutions  rules_of_the_game  good_governance  developed_countries  institutional_integrity  chicken-and-egg  developing_countries 
march 2015 by jerryking
Monetizing open data
September 21, 2012| Strata| by Jenn Webb

One of the big questions on everyone’s mind at this year’s Open Knowledge Festival in Helsinki, according to a report by David Meyer at ZDNet, is: Where’s the money in open data?

Ville Peltola, IBM’s innovation chief in Finland, told Meyer the situation is becoming frustrating, that he doesn’t understand why it’s so hard to properly open up data, or even just some of it. “You could have bronze, silver and gold APIs, where more data costs more,” Peltola said to Meyer. “It’s like a drug dealer. Maybe you have to solve this chicken-and-egg problem by giving samples of raw data.”

Meyer points out the real issue inherent in what Peltola is saying: “that large amounts of data are very valuable, and the companies that create them tend not to know how to realise the greatest value from them.” Peltola had an interesting idea to address this: “What if you have an internal start-up in your company tasked only with monetising your data?”

Chris Taggart, co-founder of OpenCorporates, made a more competitive argument for opening up your company’s data: it “exposes your competitors’ internal contradictions” and might inspire disruption, he told Meyer — “Most big, fat secure companies don’t have the confidence to disrupt themselves,” he said.
open_data  monetization  massive_data_sets  problems  challenges  intrapreneurship  chicken-and-egg  commercialization  APIs  disruption  complacency  contradictions 
december 2013 by jerryking
Scraping, cleaning, and selling big data
11 May 2011 | O'Reilly Radar | by Audrey Watters.
What are some of the challenges of acquiring data through scraping?
Flip Kromer: There are several problems with the scale and the metadata,
as well as historical complications.

Scale — It's obvious that terabytes of data will cause problems, but
so (on most filesystems) will having tens of millions of files in the
same directory tree.
Metadata — It's a chicken-and-egg problem. Since few programs can
draw on rich metadata, it's not much use annotating it. But since so few
datasets are annotated, it's not worth writing support into your
applications. We have an internal data-description language that we plan
to open source as it matures.
Historical complications — Statisticians like SPSS files. Semantic
web advocates like RDF/XML. Wall Street quants like Mathematica exports.
There is no One True Format. Lifting each out of its source domain is
time consuming.
massive_data_sets  data  analytics  data_mining  databases  digital_economy  chicken-and-egg  data_quality  metadata 
may 2011 by jerryking

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