Tout ce que vous aimeriez savoir sur le #big-data et ceux qui courent après
en ce moment au CNIT
si y’en a des que ça intéresse... le progrom
www.bigdataparis.com/2013-fr-conference.php
qui montre bien que ça perfuse partout, partout et que faire gaffe à ses données privées et personnelles n’est pas un vain conseil...
Big Data For WHEN? | Humantific
http://www.humantific.com/big-data-for-when
In this new series, Humantific SenseMaker Insights, we will be sharing a few tips based on our work and experience in the realm of helping organizational leaders make sense of complex fuzzy situations. Sometimes mountains of data exists in those situations, while in others, little or no data exists–but regardless there is need to drive forward.
Today, in the avalanche of Big Data crashing on all of our shores and in the marketplace push to consider data a “new natural resource”, a now abundant shapeable material, do you ever get the feeling that something important in that messaging is not being acknowledged, explained, or talked about?
Data Analytics meets Scrooge? | Humantific
http://www.humantific.com/data-analytics-meets-scrooge
Data Analytics meets Scrooge?
Posted on December 22, 2012 by GK VanPatter
You have no doubt watched the classic Christmas film Scrooge a million times but try watching it this year anew with your Making Sense of Big Data hat on. Is data analytics a form of time travel? You betcha! Take a wild guess where data analysts are most often traveling to?
Written by social change advocate Charles Dickens in 1843, what I love about the Christmas Carol story and this 1951 film adaptation in particular is that it contains so many themes that are relevant today. It can be viewed as a story about poverty and injustice, redemption and transformation, the demise of industrial capitalism, ghosts, greed and morality, the reenvisioning of philanthropy, etc.
Big Data, Better Global Health - Council on Foreign Relations
cc @fil @simplicissimus
Big Data, Better Global Health
Author: Thomas Bollyky, Senior Fellow for Global Health, Economics, and Development
February 21, 2013
Bill Gates, Margaret Chan, the Director General of the World Health Organization (WHO), and other experts and leaders gathered this month in Geneva for a very important meeting on a very unimportant-sounding subject: global disease estimates.
The impetus was the release of the Global Burden Disease (GBD) Study, the most comprehensive and ambitious effort to date to quantify the world’s health status. Led by Chris Murray and his colleagues at the Institute for Health Metrics and Evaluation (IHME) and funded by the Bill & Melinda Gates Foundation, the GBD study involved 486 collaborators from 302 institutions in 50 countries. In a field in which donors and policymakers have lacked basic health data, such as birth and death registries, for many countries, the GBD study assesses 291 diseases and injuries and 67 risk factors in 187 countries over a 20-year period (1990-2010).
Plutôt que de nous focaliser sur les Big Data, si on prêtait attention aux Long Data - Wired.com
http://www.wired.com/opinion/2013/01/forget-big-data-think-long-data
Pour le mathématicien Samuel Arbesman, plus que les Big Data, nous devrions porter attention aux Long Data, aux données qui permettent d’avoir un large balayage historique. Pourquoi ? Parce qu’elles nous permettent non pas d’avoir un instantané, mais de voir les processus et interactions qui se déroulent au fil du temps. Elles permettent de comprendre comment le monde change et comment nous changeons avec lui. Bref, nous permettre de mieux appréhender notre avenir. Tags : (...)
Absolument. Dès que je cherche des données qui ont ne serait-ce que quelques années, c’est le trou noir. Du coup, impossible de mettre en perspective les données actuelles, de comparer, d’avoir une vision des processus historiques. Et cela permet de falsifier les faits.
Sans parler évidemment du souci à comparer les méthodes d’obtention des données. Il faut voir les critiques adressées aux scientifiques qui ont tenté de démontrer certaines choses concernant le climat, sur la base des données disponibles. Tout est bon pour discréditer les recherches climatiques : « ah mais vous vous rendez pas compte, ces données, elles sont issues de stations qui sont dans les villes. Et comme tout le monde le sait, les villes se sont réchauffées. C’est pas le climat qui se réchauffe, c’est l’atmosphère autour des stations météos, du fait des villes qui s’étendent... ». Et tout à l’avenant. Ainsi, aucune donnée n’est fiable, un peu comme les images, les chiffres mentent. On en revient alors à un strict aveuglement : faites-moi confiance.
WSJ Data Transparency Project
http://datatransparency.wsj.com
ça, c’est très intéressant même si j’ai pas tout absolument compris
Developers, you’re invited to join us in helping build free Web tools that promote data transparency and control.
One of the fastest-growing businesses in the world is the use of your data. When you browse the Internet, your movements are recorded by hundreds of tracking companies. When you walk down the street, your cellphone is transmitting your location. Items you post on Facebook and Twitter are being monitored by employers, insurers and others.
The Wall Street Journal documented the concerns raised by this surveillance in its “What They Know” series. Now, the Journal is seeking to promote tools that let people see and control their personal data. Over three crisp spring days in New York, the Journal will host about a hundred programmers at its first-ever Data Transparency Weekend. These developers will form teams to work on free Web tools that promote data transparency; at the end of the weekend, the best tools will be publicly recognized.
Dilbert on #big-data (5/12/12)
http://i.imgur.com/4NTmy.jpg
Mais aussi (11/08/10)
http://languagelog.ldc.upenn.edu/myl/DilbertData.gif
Whither Small Data?: The limits of “big data” and the value of “small data” studies | ryan burns – university of washington
Whither Small Data?: The limits of “big data” and the value of “small data” studies
Posted on September 5, 2012
A call for papers written by a colleague of mine and me. Thought some of the people interested in my previous blog post might like to attend/submit.
Whither Small Data?: The limits of “big data” and the value of “small data” studies
Call for Papers
Association of American Geographers Annual Meeting
9-13 April 2013 Los Angeles, CA
Organizers
Ryan Burns, Department of Geography, University of Washington
Jim Thatcher, Department of Geography, Clark University
Geographers studying technology have recently turned their gaze upon “big data” – massive datasets produced through the aggregation of crowdsourced, social, and other digitally available data. While the data itself may not be new, the ability to rapidly aggregate and analyze previously unheard of combinations of data has led to an increased focus on its importance to social explanation. Geographers have contributed to big data studies by incorporating the spatial dimension that is increasingly attached to such data and, in turn, exploring the ways big data has come to mediate the urban experience (Batty 2012).
Big data and the end of theory? | News | guardian.co.uk
http://www.guardian.co.uk/news/datablog/2012/mar/09/big-data-theory
Does big data have the answers? Maybe some, but not all, says Mark Graham.
In 2008, Chris Anderson, then editor of Wired, wrote a provocative piece titled The End of Theory. Anderson was referring to the ways that computers, algorithms, and big data can potentially generate more insightful, useful, accurate, or true results than specialists or
domain experts who traditionally craft carefully targeted hypotheses
and research strategies.
Getting Data : A Five Minute Field Guide | Resources | Data Driven Journalism
Signalé par Karen Bastien sur Scoop.it
http://datadrivenjournalism.net/resources/Getting_Data_A_Five_Minute_Field_Guide
This post by Brian Boyer (Chicago Tribune), John Keefe (WNYC), Friedrich Lindenberg (Open Knowledge Foundation), Jane Park (Creative Commons), Chrys Wu (Hacks/Hackers), is an excerpt from the Data Journalism Handbook (chapter 4: Getting Data), freely available online under a Creative Commons Attribution-ShareAlike license.
Looking for data on a particular topic or issue? Not sure what exists or where to find it? Don’t know where to start? In this section we look at how to get started with finding public data sources on the web.
Streamlining Your Search
While they may not always be easy to find, many databases on the web are indexed by search engines, whether the publisher intended this or not. Here are a few tips:
When searching for data, make sure that you include both search terms relating to the content of the data you’re trying to find as well as some information on the format or source that you would expect it to be in. Google and other search engines allow you to search by file type. For example, you can look only for spreadsheets (by appending your search with ‘filetype:XLS filetype:CSV’), geodata (‘filetype:shp’), or database extracts (‘filetype:MDB, filetype:SQL, filetype:DB’). If you’re so inclined, you can even look for PDFs (‘filetype:pdf’).
#visualisation #data #big-data #statistiques #données #cartographie
Big data reveals hidden patterns of political contributions
The Forest of Advocacy
❝This site is dedicated to providing visualizations gleaned from big data regarding politics. We will provide at least one new visualization every week from now to the election. So enjoy, and come back next Monday.
Our first family of visualizations is the “Forest of advocacy.” These visualizations provide a dynamic look at the partisan tilt of giving within organizations. For each organization, individuals are characterized as points sketching out a line over time. The X axis is time, and the Y axis represents the net partisan tilt of contributions over the preceding 6 months. Over the decades, one sees lines sketched out, reflecting the partisanship of individuals over time. For each organization, we also provide the net contributions of the entire organization, and the names of biggest Democratic, Republican, and “bipartisan” contributors (the individual with the highest product of Democratic and Republican contributions).
The video above provides an overview of the visualization—we recommend you look at this first. We have chosen eight organizations for our initial analysis: the ACLU, Bain Capital, Bain Company, Boston Consulting Group, Goldman Sachs, Harvard Business School, Heritage Foundation, and McKinsey Company. You can click below for the visualization associated with each organization..
#visualisation #cartographie #data #big-data #base-de-données #data-journalisme #statistiques