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Policy 2.0: theory and practice MUNICIPAL INNOVATION LAB | #opengob @gquaggiotto

Policy 2.0: theory and practice MUNICIPAL INNOVATION LAB David Osimo Director – Open Evidence #citylabodessa 16/10/2013

luiy's insight:

It’s a great event, in the beautiful Hub Odessa, where local municipalities and civil society organizations develop open government apps in two days.

 

While mentoring these groups, I encountered some ambiguity about the difference between traditional e-government projects and government 2.0 initiatives.

 

I have therefore come up with a kind of a template process for developing 2.0 apps, which is useful when raising awareness among people who are less aware about gov 2.0.

 

The steps are:

Define the problem well. As @gquaggiotto said, the problem must be specific, evidence-based and concrete for citizens. Generic ideas like “providing all the information you need in one place” are not well defined enough.Analyse thoroughly what is the potential input of citizens to solve this problems, using the six things model. Also analyse how government data could help solve this problem. For instance, if the problem is faster detection of holes in the street, citizens can provide real time information about them (à la fixmystreet), and government can open up the workflow for work implementation (when the reparation is planned etc).Design for engagement, addressing not only the technology but the fundamental design features (anonymity, gamification, publicity, moderation…) – see slide 28 and 38 below

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Weka : Machine Learning Project | #open #KnowledgeAnalysis #datamining

luiy's insight:

An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning (ML). These enable a computer program to automatically analyse a large body of data and decide what information is most relevant. This crystallised information can then be used to automatically make predictions or to help people make decisions faster and more accurately.

 

Project Objectives

 

Our objectives are to make ML techniques generally available;apply them to practical problems that matter to New Zealand industry;develop new machine learning algorithms and give them to the world;contribute to a theoretical framework for the field.

 

 

Software

 

Our team has incorporated several standard ML techniques into a software "workbench" called WEKA, for Waikato Environment for Knowledge Analysis. With it, a specialist in a particular field is able to use ML to derive useful knowledge from databases that are far too large to be analysed by hand. WEKA's users are ML researchers and industrial scientists, but it is also widely used for teaching. Recently, our team has also worked on MOA, an environment for mining data streams.

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Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach | #bigdata #socialdata

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach | #bigdata #socialdata | Public Datasets - Open Data - | Scoop.it
PLOS ONE: an inclusive, peer-reviewed, open-access resource from the PUBLIC LIBRARY OF SCIENCE. Reports of well-performed scientific studies from all disciplines freely available to the whole world.

Via Dominique Cardon
luiy's insight:

We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase ‘sick of’ and the word ‘depressed’), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive ‘my’ when mentioning their ‘wife’ or ‘girlfriend’ more often than females use ‘my’ with ‘husband’ or 'boyfriend’). To date, this represents the largest study, by an order of magnitude, of language and personality.

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#Goblab : The Governance Lab @NYU | #opendata #opengob

#Goblab : The Governance Lab @NYU | #opendata #opengob | Public Datasets - Open Data - | Scoop.it
The Governance Lab (The GovLab) aims to improve people’s lives by changing how we govern. We are seeking new ways to solve public problems using advances in technology and science.
luiy's insight:

The GovLab builds, studies and implements experimental, technology-enabled solutions that advance a collaborative, networked approach to re-invent existing institutions and processes of governance to improve people’s lives. Our work is predicated on the following hypotheses:

 

Institutions that govern themselves more collaboratively solve problems faster and with greater success.Greater engagement leads to more legitimate democratic governance and also to better solutions for citizens. 

GovLab operates as a network of networks. Housed at New York University and funded by grants from the John D. and Catherine T. MacArthur Foundation and the John S. and James L. Knight Foundation, the GovLab encompasses two major initiatives: GovLab Research and GovLab Academy.

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Datos solicitados a Google por Gobiernos | #privacidad #politicas

Datos solicitados a Google por Gobiernos | #privacidad #politicas | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Del mismo modo que otras empresas de tecnología y comunicaciones, en Google recibimos con frecuencia solicitudes de gobiernos y tribunales de todo el mundo para que entreguemos datos de usuario. En este informe, revelamos la cantidad de solicitudes que recibimos de cada gobierno, en periodos de seis meses, con ciertas limitaciones. El uso de nuestros servicios ha aumentado cada año, del mismo modo que la cantidad de solicitudes de datos de usuario.

 

Seguimos buscando nuevas formas de organizar la información y de facilitar más detalles. Por ejemplo, a partir del periodo de informe comprendido entre julio y diciembre de 2010, comenzamos a revelar los porcentajes de solicitudes de datos de usuarios con las que cumplimos de forma total o parcial. Asimismo, a partir del periodo de informe de enero a junio de 2011, comenzamos a revelar el número de usuarios o de cuentas de los que se habían solicitado datos.

 

Nuestras Preguntas frecuentes sobre el proceso legal proporcionan información sobre la forma en que anteponemos a los usuarios cuando recibimos solicitudes de datos de usuario. Para obtener más información acerca de las leyes que rigen la divulgación de datos de usuario y las modificaciones de las leyes que consideramos importantes, visite http://digitaldueprocess.org/. Esperamos que este informe aclare un poco el alcance y la autoridad de las solicitudes gubernamentales para obtener datos de usuario en todo el mundo.

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luiy's curator insight, May 6, 2013 9:03 AM

Estas estadísticas representan la cantidad de solicitudes de organismos públicos encargados de velar por el cumplimiento de las leyes sobre información que recibimos en Google y YouTube, el porcentaje de solicitudes con las que cumplimos (en su totalidad o en parte) y la cantidad de cuentas o usuarios especificados en las solicitudes. Revisamos todas las solicitudes para asegurarnos de que cumplan con la naturaleza y el contenido de la ley, y en algunos casos, es posible que nos neguemos a producir información o que tratemos de restringir la solicitud.

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Growth of Raw Unstructured Data | #bigdata

Growth of Raw Unstructured Data | #bigdata | Public Datasets - Open Data - | Scoop.it
See:  Structured vs. Unstructured Data: The Rise of Data Anarchy See also:  Amount of Business Data Grows

Via Ivan Begtin
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Kaggle. #DataScience Community | #gamification #opendata

Kaggle. #DataScience Community | #gamification #opendata | Public Datasets - Open Data - | Scoop.it
Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.
luiy's insight:
Kaggle Connect is a consulting platform that connects companies to the elite from our community of 115,812 data scientists. Kaggle works with large companies like GE, Allstate and Merck, as well as smaller enterprises to help with all data science problems (e.g. improving sales forecasting, customer segmentation, retain customers, optimize pricing and much more).

Let us know if you have a question and data that we can use to help you address it. Kaggle supports two competition types:Predicting the past

Predicting the past requires contestants to build models
that are evaluated against a past event (the idea being
that highly performing models can then be adopted by the competition host).

For example, an insurance company might host a predicting-the-past competition that requires competitors to build models that identify fraudulent claims. The winning model(s) would then be deployed by the insurance company to predict fraudulent claims in the future.

Predicting the future

Predicting the future requires contestants to make 
predictions about a future event. Organizations may then choose to act on predictions made by contestants who 
have a history of forecasting accurately.

For example, a managed fund might require contestants 
to forecast the price of all stocks in the Dow Jones
Industrial Average in six months' time. The fund may then invest based on the forecasts made by highly
rated statisticians.

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ISTC for Big Data. Intel Science & Technology Center for #BigData | #papers #presentations #SNA_INDATCOM

ISTC for Big Data. Intel Science & Technology Center for #BigData | #papers #presentations #SNA_INDATCOM | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Come meet some of our people (as well as some guest speakers) and hear them speak at these upcoming industry events.


You can also download select papers and presentations from past events below.


Annual Conference on Very Large Data Bases 2013 (VLDB 2013), August 26-30, 2013, Riva del Garda, Italy

 Keynote: “The DataHub: A Collaborative Data Analytics and Visualization Platform.” Sam Madden“Counting with the Crowd.” Adam Marcus, David Karger, Sam Madden, Robert Miller, Sewoong Oh“Processing Analytical Queries over Encrypted Data.”  Stephen Tu, Frans Kaashoek, Sam Madden, Nickolai Zeldovich“Scorpion: Explaining Away Outliers in Aggregate Queries.”  Eugene Wu, Sam Madden“Hadoop’s Adolescence: An Analysis of Hadoop Usage in Scientific Workloads.” Kai Ren, Yongchul Kwon, Magdalena Balazinska, Bill Howe“A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis.”  Emad Soroush, Spencer Wallace, Magdalena Balazinska, Matthew Moyers, Simon Krughoff, Jake Vanderplas, Andrew Connolly


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Find out (some of) what one big #databroker knows about you | #opendata #awareness #privacy

Find out (some of) what one big #databroker knows about you | #opendata #awareness #privacy | Public Datasets - Open Data - | Scoop.it
Leading data broker Acxiom's free AboutTheData.com service offers a glimpse of the ad-targeting information the company has collected about you. But opting out of targeted ads may not be so simple. Read this article by Dennis O'Reilly on CNET.
luiy's insight:

View the information Acxiom has collected about you


Before you send in your $5 to get the scoop on yourself, check out your Acxiom profile on AboutTheData.com. Considering the original sources of the information -- government agencies, businesses, retailers, and other public and private organizations -- the chances are pretty good you'll be in the company's database. Acxiom claims to have the lowdown on hundreds of millions of people around the world, and about half the population of the U.S.

 

Start by clicking the link at the bottom of the AboutTheData.com home page to "See and Edit Marketing Data about You." Complete an online form that asks for your name, address, complete birthday, e-mail address, and the last four digits of your Social Security number.

Usually I would hesitate to volunteer this information to a site I haven't done business with in the past. But data brokers such as Acxiom know a lot more about us than these basics.

 

After you enter the captcha and press Enter, Acxiom's marketing data about you is presented in six categories: Characteristics, Home, Vehicle, Economic, Shopping, and Household Interests. For example, the Economic category estimates your household income and indicates the type of credit cards you use, your purchasing history, and your lines of credit.

 
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Truthy : Information diffusion research | #dataviz #opendata

Truthy : Information diffusion research | #dataviz #opendata | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Information diffusion research at Indiana University

Truthy is a research project that helps you understand how communication spreads on Twitter. 


We currently focus on tweets about politics, social movements and news.

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Syria v Libya v Iraq | #dataviz

Syria v Libya v Iraq | #dataviz | Public Datasets - Open Data - | Scoop.it
A numerical evaluation of recent conflictHOW does the civil war in Syria, which pits rebels armed with light weapons against the tanks and jets of the government,...

Via Pierre Levy
luiy's insight:

HOW does the civil war in Syria, which pits rebels armed with light weapons against the tanks and jets of the government, compare with the bombs planted by terrorists in Pakistan or the drug war in Mexico? The Global Peace Index 2013 has masses of data on the cost in lives and money of violence, but the chart below gives the clearest picture of how the conflicts fought in 2012 stack up. The report also contains a fancy index on the cost of containing violence relative to each country's economic weight. North Korea comes top; America is alarmingly high, sandwiched between Bahrain and the Central African Republic.

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Public #OpenData: The Good, the Bad, the Future

Public #OpenData: The Good, the Bad, the Future | Public Datasets - Open Data - | Scoop.it
New technology tools, combined with raised expectations among voters and stakeholders for government transparency, have sparked a movement toward “open government.
luiy's insight:

New technology tools, combined with raised expectations among voters and stakeholders for government transparency, have sparked a movement toward “open government.” Championed by advocacy organizations and a few high-profile elected officials, the trend seeks to promote greater accountability and responsiveness for the systems of representative democracy. An area of particular opportunity — as well as potential concern — is the growing cache of large datasets of public information now available on the Internet.

 

Government entities from cities to nations are making data not only public but accessible. Earlier, such data was often buried in City Hall filing cabinets, provided only after Freedom of Information Act requests, or published electronically but in cumbersome formats. Machine-readable formats allow new applications, analysis and visualizations to be developed by anyone with basic skills and an Internet connection. Datasets from many corners of government are coming online: public health and demographic information, business licenses and property ownership, campaign contributions and expenditures, crime reports, school test scores, and much more.

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How will #Africa's growing population shape the future of our planet? | #opendata

How will #Africa's growing population shape the future of our planet? | #opendata | Public Datasets - Open Data - | Scoop.it
Visualizing the fight against poverty. Submit your best development dataviz by clicking on the...
luiy's insight:

“Right now, with a couple of exceptions, Africa’s population density is relatively low; it’s a very big continent more sparsely populated than, say, Europe or East Asia. That’s changing very quickly. The continent’s overall population is expected to more than quadruple over just 90 years, an astonishingly rapid growth that will make Africa more important than ever.”

Using forecast data from the United Nations Population Division the Washington Post team produced nine charts that tell the story of the next 90 years as forecast by the UN. 

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Rapid Miner : #datamining and #open source soft

Rapid Miner : #datamining and #open source soft | Public Datasets - Open Data - | Scoop.it
luiy's insight:
Data Integration, Analytical ETL, Data Analysis, and Reportingin one single suitePowerful but intuitive graphical user interface for the design of analysis processesRepositories for process, data and meta data handlingOnly solution with meta data transformation: forget trial and error and inspect results already during design timeOnly solution which supports on-the-fly error recognition andquick fixesComplete and flexible: Hundreds of data loading, data transformation, data modeling, and data visualization methods
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#Open Access and Open Learning

In this presentation I consider the different stages of 'open' in the provision of open learning, and consider options and variables in each.

Via Ana Cristina Pratas, Pierre Levy
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Sir Tim Berners-Lee: The many meanings of #Open | #opendata #OpenGob

Sir Tim Berners-Lee: The many meanings of #Open | #opendata #OpenGob | Public Datasets - Open Data - | Scoop.it
Sir Tim Berners-Lee; ” I was recently asked to talk about the idea of “open”, and I realized the term is used in at least eight different ways. The distinct interpretations are all important in different but interlocking ways.
luiy's insight:

Sir Tim Berners-Lee; ” I was recently asked to talk about the idea of “open”, and I realized the term is used in at least eight different ways. The distinct interpretations are all important in different but interlocking ways. Getting them confused leads to a lot of misunderstanding, so it’s good to review them all.

When we tease apart their meanings, we can understand more clearly which aspects of each are the most important. The first, one of the most important forms of openness for the Web, is its universality.

 

Universality – When I designed the Web protocols, I had already seen many networked information systems fail because they made some assumptions about the users – that they were using a particular type of computer for instance – or constrained the way they worked, such as forcing them to organize their data in a particular way, or to use a particular data format. The Web had to avoid these issues. The goal was that anyone should be able to publish anything on the Web and so it had to be universal in that it was independent of all these technical constraints, as well as language, character sets, and culture….

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Graphlab : Open #Datasets

Graphlab : Open #Datasets | Public Datasets - Open Data - | Scoop.it
To help encourage the exploration of graph data we have assembled a collection of exciting public domain graph datasets. Image Dataset name Dataset size GraphLab Algorithm Download instructions Cre...
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#opendata : Datasources | School of Data

#opendata : Datasources | School of Data | Public Datasets - Open Data - | Scoop.it
Evidence is Power
luiy's insight:
DATAHUB 

Community

The Datahub is a collection of Open Data throughout the world. It is community driven so if you have interesting data upload it there!

 AFRICA OPEN DATA 

Community

Africa Open Data is a community driven dataportal collecting information relevant to African citizens.

 NEUROSCIENCE INFORMATION FRAMEWORK 

Scientific

The Neuroscience Information Framweork (NIF) is a biological search engine that searches the contents of more than 150 databases relevant to neuroscience and the biomedical literature simultaneously that enables researchers, students and educators to pull together information about the nervous system.

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Immersion: a people-centric view of your email life | #SNA #tools #SNA_INDATCOM

Immersion: a people-centric view of your email life | #SNA #tools #SNA_INDATCOM | Public Datasets - Open Data - | Scoop.it
luiy's insight:
What is Immersion? It has been almost two decades since the beginning of the web. This means that the web is no longer just a technology of the present, but also, a record of our past. 

Email, one of the original forms of social media, is even older than the web and contains a detailed description of our personal and professional history. Immersion is an invitation to dive into the history of your email life in a platform that offers you the safety of knowing that you can always delete your data. Just like a cubist painting, Immersion presents users with a number of different perspectives of their email data. 
It provides a tool for self-reflection at a time where the zeitgeist is one of self-promotion. 
It provides an artistic representation that exists only in the presence of the visitor. 
It helps explore privacy by showing users data that they have already shared with others. 
Finally, it presents users wanting to be more strategic with their professional interactions, with a map to plan more effectively who they connect with. So Immersion is not about one thing. It’s about four. It’s about self-reflection, art, privacy and strategy. It’s about providing users with a number of different perspectives by leveraging on the fact that the web, and emails, are now an important part of our past.

 

 

 

Once you log in, Immersion will use only the From, To, Cc and Timestamp fields of the emails in the account you are signing in with. It will not access the subject or the body content of any of your emails.

 

Upon logging out of Immersion, you will be presented with a choice to save or delete your data, which contains your compressed email metadata and user profile. If you decide to save your email metadata with Immersion, that data will be stored in a secure system. You can always return to the site remotely and delete it at a later time, if you wish to do so.
If you take a snapshot of your Immersion network, the snapshot link will be accessible for 30 days, after which it will be deleted from our server.

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15 #Business Models to copy + PDF Download with all cases | #open

15 #Business Models to copy + PDF Download with all cases | #open | Public Datasets - Open Data - | Scoop.it
luiy's insight:

People that follow us know that we’re very open to share ideas and inspiration. In our latest slide deck we’ve visualised 15 remarkable business model examples from innovative companies. If you want you can download all examples as PDF.

 

We’ve looked at different industries: Health, banking & finance, travel, consumer goods, Telecom and so on. If you’ve found other equally inspiring examples feel free to share in the comments or via twitter.

All feedback is welcome!

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Timeline of Edward Snowden's revelations | Al Jazeera America | #NSA #databrokers #privacy

Timeline of Edward Snowden's revelations  | Al Jazeera America | #NSA #databrokers #privacy | Public Datasets - Open Data - | Scoop.it
Al Jazeera's in-depth look back at two months of leaks by the ex-NSA contractor who fled from Hong Kong to Russia
luiy's insight:

Timeline of Edward Snowden's revelations


Al Jazeera's in-depth look back at two months of leaks by the ex-NSA contractor who fled from Hawaii to Hong Kong to Russia after releasing loads of documents on surveillance in the U.S. and around the world. The information below is compiled from the news outlets that first reported the data.

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Everything We Know About What #DataBrokers Know About You | #opendata #privacy #surveillance

Everything We Know About What #DataBrokers Know About You | #opendata #privacy #surveillance | Public Datasets - Open Data - | Scoop.it
The companies that sell information about how much money you make — and whether you’re pregnant, divorced, or trying to lose weight — are facing new scrutiny.
luiy's insight:

Do companies collect information about my social media profiles and what I do online?

 

Yes.

As we highlighted last year, some data companies record — and then resell — all kinds of information you post online, including your screen names, website addresses, interests, hometown and professional history, and how many friends or followers you have.

Acxiom said it collects information about which social media sites individual people use, and "whether they are a heavy or a light user," but that they do not collect information about "individual postings" or your "lists of friends."

More traditional consumer data can also be connected with information about what you do online. Datalogix, the company that collects loyalty card data, has partnered with Facebook to track whether Facebook users who see ads for certain products actually end up buying them at local stores, as the Financial Times reported last year.

   

How do I know when someone has purchased data about me?

 

Most of the time, you don't.

When you're checking out at a store and a cashier asks you for your Zip code, the store isn't just getting that single piece of information. Acxiom and other data companies offer services that allow stores to use your Zip code and the name on your credit card topinpoint your home address — without asking you for it directly.

Is there any way to stop the companies from collecting and sharing information about me?

Yes, but it would require a whole lot of work.

Many data brokers offer consumers the chance to "opt out" of being included in their databases, or at least from receiving advertising enabled by that company. Rapleaf, for instance, has a "Permanent opt-out" that "deletes information associated with your email address from the Rapleaf database."

But to actually opt-out effectively, you need to know about all the different data brokers and where to find their opt-outs. Most consumers, of course, don't have that information.

In their privacy report last year, the FTC suggested that data brokers should create a centralized website that would make it easier for consumers to learn about the existence of these companies and their rights regarding the data they collect.

 
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#Sentiment Analysis on Twitter with Datumbox API | #open #dataviz

#Sentiment Analysis on Twitter with Datumbox API | #open #dataviz | Public Datasets - Open Data - | Scoop.it
Hey there! After my post about sentiment analysis using the Viralheat API I found another service. Datumbox ist offering special sentiment analysis for Twitter. But this API doesn´t just offer sent...

Via Mariana Soffer
luiy's insight:

Datumbox offers a large number of off-the-shelf Classifiers and Natural Language Processing services which can be used in a broad spectrum of applications including: Sentiment Analysis, Topic Classification, Language Detection, Subjectivity Analysis, Spam Detection, Reading Assessment, Keyword and Text Extraction and more. All services are accessible via our powerful REST API which allows you to develop your own smart Applications in no time.

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Mariana Soffer's curator insight, September 9, 2013 7:23 AM

Twitter Sentiment Analysis, Subjectivity Analysis, Topic Classification, Spam Detection, Adult Content Detection, Readability Assessment, Language Detection, Commercial Detection, Educational Detection, Gender Detection, Keyword Extraction, Text Extraction and Document Similarity.“

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Guide du #datajournalisme | #dataviz

Guide du #datajournalisme | #dataviz | Public Datasets - Open Data - | Scoop.it
Le Guide du Datajournalisme dresse un panorama des pratiques du datajournalisme aujourd'hui et donne des repères pour ceux qui veulent se lancer dans cette nouvelle branche du journalisme, à la croisée de l'investigation, du...

Via Pierre Levy
luiy's insight:

Ce livre est destiné à être une ressource utile pour tous ceux qui pensent devenir datajournaliste ou qui s’intéressent simplement à la discipline.

Beaucoup de gens ont contribué à son écriture et nous nous sommes efforcés de faire ressortir leurs voix et leurs opinions diverses. Nous souhaitions qu’il se lise comme une conversation riche et instructive sur le datajournalisme, les raisons et la manière de le pratiquer.

 

Malheureusement, le simple fait de lire ce livre ne vous apportera pas toutes les connaissances et les compétences requises pour devenir datajournaliste. Cela demanderait une énorme bibliothèque gérée par des centaines d’experts capables de répondre à des questions diverses sur des centaines de sujets différents. Par chance, cette bibliothèque existe : elle s’appelle Internet. Nous espérons plutôt que ce livre vous donnera une idée ce qu’il faut faire pour commencer et des pistes à explorer si vous voulez creuser le sujet. Les exemples et les tutoriels sont fournis à titre indicatif et n’ont pas pour but d’être exhaustifs.

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[dataviz] Visualisez les jeux de données de NYC en #opendata

[dataviz] Visualisez les jeux de données de NYC en #opendata | Public Datasets - Open Data - | Scoop.it

Via 15marches, Lockall
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15marches's curator insight, September 4, 2013 3:22 AM

Ça vaut le coup d'attendre le chargement....