'Trial on Twitter' leaves victims with 'unending punishment, and no prospect of rehabilitation, via Google', the judge said in an Australian lecture on privacy.
Via txwikinger
Share ideas that matter on the social web and experience
the benefits of curating the world's best content.
I don't have a Facebook, a Twitter or a LinkedIn account
|
|
Rescooped by Errol A. Adams JD/MLS from txwikinger-cloud-computing onto The Information Specialist's Scoop |
'Trial on Twitter' leaves victims with 'unending punishment, and no prospect of rehabilitation, via Google', the judge said in an Australian lecture on privacy.
Are you sure you want to delete this scoop?
Your new post is loading...
Today, many scientific fields can be described as data-intensive disciplines, which turn raw data into information and then knowledge. If this sounds familiar it’s because this represents the late and influential computer scientist Jim Gray’s vision of the fourth research paradigm. Gray divided up the evolution of science into four periods or paradigms. One thousand years ago, science was experimental in nature, a few hundred years ago it became theoretical, a few decades ago it moved to a computational discipline, and today it’s data driven. Researchers are reliant on e-science tools to enable collaboration, federation, analysis, and exploration to address this data deluge, equal to about 1.2 zettabytes each year. If 11 ounces of coffee equaled one gigabyte, a zettabyte would be the same volume as the Great Wall of China. (...) - by Adrian Giordani, MyScienceWork blog, 27 november 2012 Via Julien Hering, PhD, Pavlinka Kovatcheva, Karen du Toit
Karen du Toit's curator insight,
November 29, 2012 7:15 AM
"Today, many scientific fields can be described as data-intensive disciplines, which turn raw data into information and then knowledge. If this sounds familiar it’s because this represents the late and influential computer scientist Jim Gray’s vision of the fourth research paradigm. Gray divided up the evolution of science into four periods or paradigms. One thousand years ago, science was experimental in nature, a few hundred years ago it became theoretical, a few decades ago it moved to a computational discipline, and today it’s data driven. Researchers are reliant on e-science tools to enable collaboration, federation, analysis, and exploration to address this data deluge, equal to about 1.2 zettabytes each year. If 11 ounces of coffee equaled one gigabyte, a zettabyte would be the same volume as the Great Wall of China. This article was originally published in International Science Grid This Week as “Enabling knowledge creation in data-driven science” [...]
"To answer this problem [of data deluge], some are creating infrastructures and software that are set to radically transform the way scientific publishing is done, which has been little changed for centuries. Research publishing 2.0While a number of scientific institutes, European Commission-funded projects, and research communities work on establishing common data policies and open-access infrastructures to make research data more searchable, shareable, and citable, the life sciences are looking at data analysis and publishing approaches that move the computer to the data rather than moving the data to the computers" Delete the scoop?
Are you sure you want to delete this scoop?
Yes
No
|
Some of the most intriguing innovations in storytelling these days are happening in the UK, where broadcasting networks, book publishers, and even newspapers have embraced the idea of creating immersive narratives that invite the audience to join in... Via The Digital Rocking Chair, Dolly Bhasin
Ricard Garcia's comment,
April 12, 2012 2:49 AM
Molt bon Scoop, Montse! Molt interessant! Ja l'he posat al meu!
Delete the scoop?
Are you sure you want to delete this scoop?
Yes
No
|



Your new post is loading...