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This is just too beautiful not to share. NASA marks the 5-year anniversary of their Solar Dynamics Observatory (SDO) with this video showing amazingly pulsing mass explosions, solar flares, sunspots, coronal mass ejections (CMEs) and the like. SDO provides 13 full-sun images every 10 seconds, 24 hours a day, 7 days a week. That’s 2,600 terabytes of data! For more, see the Solar Dynamics Observatory.
February 11, 2015 marks five years in space for NASA’s Solar Dynamics Observatory, which provides incredibly detailed images of the whole sun 24 hours a day. Capturing an image more than once per second, SDO has provided an unprecedentedly clear picture of how massive explosions on the sun grow and erupt ever since its launch on Feb. 11, 2010. The imagery is also captivating, allowing one to watch the constant ballet of solar material through the sun’s atmosphere, the corona.
In honor of SDO’s fifth anniversary, NASA has released a video showcasing highlights from the last five years of sun watching. Watch the movie to see giant clouds of solar material hurled out into space, the dance of giant loops hovering in the corona, and huge sunspots growing and shrinking on the sun’s surface.
Here’s an opportunity to let the White House know your opinions on data gathering, transforming technologies and privacy issues.
From: The White House [firstname.lastname@example.org]
Sent: Friday, March 21, 2014 2:00 PM
Subject: The President’s review of big data and privacy
Friday, March 21, 2014
The President’s review of big data and privacy
In January, President Obama spoke about changes in the technology we use for national security purposes, and what they mean for our privacy broadly.
He launched a 90-day review of big data and privacy: how they affect the way we live, and the way we work — and how data is being used by universities, the private sector, and the government.
As part of that review, we’ve already heard from leading privacy advocates and industry leaders, among others.
But this is a conversation that affects all Americans, and we want to make sure you have a chance to be a part of it. We want your input.
Take a moment to tell us what you think about big data, privacy, and what it means to you. Visit http://www.whitehouse.gov/issues/technology/big-data-review to voice your opinions
PLEASE. Take a moment to take the survey and (respectfully) tell the President that if there’s no probable cause you’re involved with a crime, your data should be off limits. It would probably be good to also provide input on the question “what technologies have transformed your life” and note the role of net neutrality in making it possible.
Hot off the presses from the National Academies is this prepublication version of a report Frontiers in Massive Data Analysis. This is a really nice survey of much of the state of the art and current issues involved in “big data.” Govt information librarians owe it to themselves to become well-versed as more and more researchers across many disciplines will become interested in govt information as a corpus to do larger analysis (I’m already getting questions about corpus research!).
From Facebook to Google searches to bookmarking a webpage in our browsers, today’s society has become one with an enormous amount of data. Some internet-based companies such as Yahoo! are even storing exabytes (10 to the 18 bytes) of data. Like these companies and the rest of the world, scientific communities are also generating large amounts of data-—mostly terabytes and in some cases near petabytes—from experiments, observations, and numerical simulation. However, the scientific community, along with defense enterprise, has been a leader in generating and using large data sets for many years. The issue that arises with this new type of large data is how to handle it—this includes sharing the data, enabling data security, working with different data formats and structures, dealing with the highly distributed data sources, and more.
Frontiers in Massive Data Analysis presents the Committee on the Analysis of Massive Data’s work to make sense of the current state of data analysis for mining of massive sets of data, to identify gaps in the current practice and to develop methods to fill these gaps. The committee thus examines the frontiers of research that is enabling the analysis of massive data which includes data representation and methods for including humans in the data-analysis loop. The report includes the committee’s recommendations, details concerning types of data that build into massive data, and information on the seven computational giants of massive data analysis.