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Seven Ways to Create a Storymap | #opendata #maps #ddj

Seven Ways to Create a Storymap | #opendata #maps #ddj | Public Datasets - Open Data - | Scoop.it
Evidence is Power
luiy's insight:

The above examples describe a wide range of geographical and geotemporal storytelling models, often based around quite simple data files containing information about individual events. Many of the tools make a strong use of image files as pat of the display. it may be interesting to complete a more detailed review that describes the exact data models used by each of the techniques, with a view to identifying a generic data model that could be used by each of the different models, or transformed into the distinct data representations supported by each of the separate tools.


- See more at: http://schoolofdata.org/2014/08/25/seven-ways-to-create-a-storymap/#sthash.tWi68hgm.dpuf

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Mapping Data: A guide for making #geodata visualizations | #ddj #methods #tools

Mapping Data: A guide for making #geodata visualizations | #ddj #methods #tools | Public Datasets - Open Data - | Scoop.it
luiy's insight:

As an add-on to our presentation we produced two more things, that some of you out there mind find helpful too:

 

- Mappable Toolset: The number of tools to process data, make maps, interactive visualizations etc. is continuously growing. While we love new tools, this leads to a situation that makes it quite hard to keep an overview of which tools are good for a certain tasks, where to find them and how much they cost. To keep track of the tools we've used so far and as a guide for others we thus collected our toolset. Have a look at it here:English version, German version.


-  Mappable Cheat-Sheet: Making maps and other visualizations with a geospatial component is certainly not a trivial tasks. There are many pitfalls, take alone spatial reference systems as an example, that might completely mess up your visualization if you don't handle them correctly. We thus created a checklist for making geodata visualizations in (data-driven) journalism. You can find it here: English version, German version.

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Introducing Streamtools: A Graphical #Tool for Working with Streams of Data | #ddj #OpenNews

Introducing Streamtools: A Graphical #Tool for Working with Streams of Data | #ddj #OpenNews | Public Datasets - Open Data - | Scoop.it
Source - Journalism Code, Context & Community
luiy's insight:

INTRODUCING STREAMTOOLS: A GRAPHICAL TOOL FOR WORKING WITH STREAMS OF DATA

 

New and open source from the New York Times R&D Lab.

 

We see a moment coming when the collection of endless streams of data is commonplace. As this transition accelerates it is becoming increasingly apparent that our existing toolset for dealing with streams of data is lacking. Over the last 20 years we have invested heavily in tools that deal with tabulated data, from Excel, MySQL, and MATLAB to Hadoop, R, and Python+Numpy. These tools, when faced with a stream of never-ending data, fall short and diminish our creative potential.

 

In response to this shortfall we have created streamtools—a new, open source project by the New York Times R&D Lab which provides a general purpose, graphical tool for dealing with streams of data. It offers a vocabulary of operations that can be connected together to create live data processing systems without the need for programming or complicated infrastructure. These systems are assembled using a visual interface that affords both immediate understanding and live manipulation of the system.

  

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Mlik Sahib's curator insight, March 17, 2014 11:09 PM

"In response to this shortfall we have created streamtools—a new, open source project by the New York Times R&D Lab which provides a general purpose, graphical tool for dealing with streams of data. It offers a vocabulary of operations that can be connected together to create live data processing systems without the need for programming or complicated infrastructure. These systems are assembled using a visual interface that affords both immediate understanding and live manipulation of the system."

 
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CNN And Twitter Partner With Dataminr To Create News #Tool For Journalists | #datajournalism #opendata

CNN And Twitter Partner With Dataminr To Create News #Tool For Journalists | #datajournalism #opendata | Public Datasets - Open Data - | Scoop.it
CNN is hosting a press event today to announce a partnership with Twitter and social analytics company Dataminr, resulting in a new tool called Dataminr For..

Via Pierre Levy
luiy's insight:

Dataminr CEO Ted Bailey said the goal is to “alert journalists to information that’s emerging on Twitter in real time.” Basically, the technology looks at tweets and finds patterns that can reveal breaking news when it’s still in its “infancy.” Those alerts can be delivered in a variety of ways, including via desktop applications, email, mobile alerts, and pop-up alerts.

The program, which was piloted with CNN, isn’t just for alerts, Bailey added. He said it also offers analytics data around who broke the news and how it spread. He also said that it doesn’t just have to be for breaking news, but for finding interesting features, as well.

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#OpenData Press - Google Sheets to Open Data | #datajournalism

#OpenData Press - Google Sheets to Open Data | #datajournalism | Public Datasets - Open Data - | Scoop.it
Easily publish Open Data from your Google Spreadsheets
luiy's insight:

- Publish data in XML, JSON, HTML, CSV, TXT format. 

 

- Publish multiple data files from a single data source. 

 

- A dedicated dashboard - Providing a dedicated interface for data publishers. 

 

- Leverage the powerful Jinja2 Template Engine to format your data. 

 

- Open Source - Download the code and run your own instance! 

 

- Designed to run on Google App Engine - To make life easy for the Sys. Admins. 

 

- Coded in Python - A familiar language for data geeks. 

 

- Comprehensive Developer Documentation.

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Datafest: una selección de presentaciones I #ddj #latinoamerica

Datafest: una selección de presentaciones I #ddj #latinoamerica | Public Datasets - Open Data - | Scoop.it
NACION Data - Blogs lanacion.com
luiy's insight:

Los fanáticos de datos electorales arrancaron a las 11 am del sábado con Manuel Aristarán -Open News Fellow en LN Data-, siguieron con Sandra Minvielle -Dirección Nac. Electoral- (foto) y siguieron la charla durante el almuerzo que incluyó a Gonzalo Iglesias de GCBA Data, entre otros. ¡Un continuado muy constructivo!


A días de haber finalizado el Datafest que reunió a más de 300 periodistas, analistas y desarrolladores el viernes 1 y sábado 2 del corriente, compartimos una selección de las presentaciones que se realizaron durante ambas jornadas. Para aquellos que quieran ver más material de presentaciones pueden visitar el sitio http://www.datafest.org.ar.

 

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The data Library at NICAR | #opendata #datajournlism #ddj

The data Library at NICAR | #opendata #datajournlism #ddj | Public Datasets - Open Data - | Scoop.it
luiy's insight:

The National Institute for Computer-Assisted Reporting (NICAR) is a program of Investigative Reporters and Editors, Inc. and the Missouri School of Journalism. Since 1989, NICAR has trained thousands of journalists in the practical skills of getting and analyzing electronic information and also maintains a library of databases containing government data on a wide array of subjects, available for purchase by IRE members.

 

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Search by country in the #ICIJ Offshore Leaks Database #datajournalism #opendata @ICIJorg

Search by country in the #ICIJ Offshore Leaks Database #datajournalism #opendata @ICIJorg | Public Datasets - Open Data - | Scoop.it
ICIJ has added a country search feature to the Offshore Leaks Database, allowing more precise geographical searches of more than 100,000 offshore companies listed in the database.
luiy's insight:

The online database represents a small part of a cache of 2.5 million leaked offshore files that ICIJ analyzed with a team of 112 reporters in 58 countries for more than 15 months.  Until now it was difficult to get comprehensive country-by-country results when searching the online application. The new filter helps users do more efficient targeted searches in a particular geographical location.


A dropdown box on the main search page now offers the choice to search for text across the entire database, to filter by country or to combine a company/name text search with the filter.  The results screen displays separate lists for Officers/Master Clients (where individual names will appear), for Offshore Entities (companies, trusts and other entities) and for listed addresses in that country. Click on a result to open an interactive diagram of an offshore entity, named person or address. Don’t forget that you can click on a  dot in the diagram to expand the results to additional connected entities. And click on “Undo” in the lower right hand corner of the screen to go back to the previous diagram.

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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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import.io + Open Refine + Google Fusion Tables = Magic! | #SNA #ddj

import.io + Open Refine + Google Fusion Tables = Magic! | #SNA #ddj | Public Datasets - Open Data - | Scoop.it
luiy's insight:

The University of Ottawa Library holds an employee training week every year, giving colleagues the opportunity to share experiences, skills, and insights with one another. I jumped on this opportunity to showcase import.io as a means of creating datasets from website content. The tutorial I developed demonstrated how to create a dataset from the City of Ottawa’s open data catalogue. It’s a really simple example to get users familiar with the functionality of import.io, an easy way to scrape web content via a simple interface and without having to code. In this post I will also demo how to use Open Refine to clean the data captured by import.io and how to visualize it using Google Fusion Tables.

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World Bank #Dataviz | #opendata #ddj

World Bank #Dataviz | #opendata #ddj | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Visualizing:

 

- Where is the Extreme Poverty?

 

- Smoking Trends Around the Globe?

 

- What's the Story with Food Loss and Waste?

 

- Average House Size bi Country

 

- How easy is Business in Brazil

 

-  Have Industrialized Countries Reduced Their CO2 Emissions Since 1990? 

 

Submit your best development dataviz by clicking on the pencil icon on the right. If you have questions or comments about this Tumblr, please email dataviz@worldbank.org.

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Making Sense of #Data - Course Google #MOOc | #datajournalism

Making Sense of #Data - Course Google #MOOc | #datajournalism | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Making Sense of Data 

 

Do you work with surveys, demographic information, evaluation data, test scores, or observation data? Are you interested in making the data you collect more useful by organizing it, analyzing it, and applying it in different ways?

 

This self-paced, online course is intended for anyone who wants to learn more about how to structure, visualize, and manipulate data. This includes student, educators, researchers, journalists, and small business owners.

 

 

DATES

 

The course is available from March 18 - April 4, 2014 with support from peers and Google content experts.

 

 

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#OpenData Institute | Moscow node | #opengob #datajournalism

#OpenData Institute | Moscow node | #opengob #datajournalism | Public Datasets - Open Data - | Scoop.it
luiy's insight:
Russia’s Open Government is an initiative launched by the Russian Government in order to consolidate efforts to enhance the transparency and accountability of all the governmental structures. Two of its key priorities are encouraging the publication of Open Data and building the single Open Data Portal. Council on Open Data is a special-purpose governmental body at the Governmental Committee on Openness, under the auspices of which government representatives, as well as civil and citizen leaders determine Russia’s agenda in the area of Open Data. The Council builds the road-map of data opening according to G8 Charter and functions as a communicative platform that helps formulate Ministries’ priorities in ranging the urgency of publishing most demanded data packages.

 

EducationOpen Data School is an educational platform launched by NGO Infoculture and supported by Russia’s Open Government. It organises regular offline lectures and seminars for journalists, citizen activists, government officials and programmers, as well as everybody who wants to know how to work with open data. These lectures are free of charge and their materials, including videos, transcripts and presentations, are published at the School’s website under an open license. DataDrivenJournalism.ru is a Russian-language learning project created as a totally independent volunteer initiative and aimed at sharing knowledge and skills regarding data driven journalism and generally data processing. In its ‘static’ part, it provides a bunch of tutorials and walkthroughs, both original and translated, of different difficulty levels, which can be used by anyone anytime. It also provides an opportunity for interactive learning by organising so called ‘data expeditions’. The term was borrowed from OKF’s School of Data initiative. The idea is based on the project-oriented peer-to-peer learning approach developed and successfully applied by such initiatives as the abovementioned School of Data and P2P University. Data expeditions organised by DataDrivenJournalism.ru take place online and are absolutely free of charge. Its first data expedition was launched in July 2013 and revealed a huge potential of this learning format. The next expedition starts in December 2013.
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Media Tools – Google : Digital tools for #datajournalism I #opentools

Media Tools – Google : Digital tools for #datajournalism I #opentools | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Welcome to Google Media Tools. Consider this your starting point to tap into Google’s suite of digital tools that can enhance newsgathering and exposure across television, radio, print and online.

 

Whether it’s refining your advanced search capabilities, improving audience engagement through Google+, or learning how to visualize data using Google Maps, this website is intended to guide you through all the resources Google offers to journalists.

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Learning by Doing: Online Data Expedition on Extractive Industries in Nigeria | #ddj #opendata

luiy's insight:

Who operates the often poisonous wells in the Niger Delta? How does the money flow between the contractors running the oil fields and the government?

 

In a dual effort to answer these questions while advancing the practice of data journalism, School of Data is organising an online data expedition to investigate the extractive Industries of Nigeria on 7 December, Noon-18:00 CET / Lagos.

 

Data on the extractives industry is increasingly going public. This information transparency can lead to greater public scrutiny of these industries that affect so many lives.

 

School of Data, in collaboration with OpenOil, wants to begin cracking this data open and analysing it to facilitate investigations by journalists, organisations, activists and governments who all need to know how extractives impact people’s lives.

 

School of Data proposes addressing this issue, while providing a training in the following fields:

Network analysis: Investigate the corporate supply chain in Nigeria’s oil industry by using networks to see who is connected to whom;Corporate research: Cut through generic names like “Shell” and “Exxon” to identify the specific corporate vehicles responsible for activities in places such as the Niger Delta;Mapping: Work with maps of geo-coded oil spills, company license areas and other data to draw connections that might not be apparent in text-based media;Web-scraping: Find company data and establish leads for other investigations related to the oil industry by scraping the web.

For additional information and to register, visit the School of Data website.

- See more at: http://datadrivenjournalism.net/events/Learning_by_Doing_Online_Data_Expedition_on_Extractive_Industries?utm_content=bufferd2f9d&utm_source=buffer&utm_medium=twitter&utm_campaign=Buffer#When:17:07:11Z

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Resources | Data Driven Journalism I #opendata #ddj

Resources | Data Driven Journalism I #opendata #ddj | Public Datasets - Open Data - | Scoop.it
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Pierre Levy's curator insight, November 18, 2013 11:04 AM

A site full of resources on data driven journalism #ddj

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Geocoding in Google Docs: GeoJSON boundaries with Koordinates | #datajournalism #opendata

Geocoding in Google Docs: GeoJSON boundaries with Koordinates | #datajournalism #opendata | Public Datasets - Open Data - | Scoop.it
Evidence is Power
luiy's insight:

In our geocoding recipe, you learned how to use Google Sheets formulas to automatically convert place names into coordinates in your spreadsheet data. In this tutorial, you’ll learn how to take geocoding a step further, converting coordinates to GeoJSON boundaries—machine-readable descriptions of the boundaries of geographical regions like countries or provinces—using the Koordinates API. The Koordinates API takes latitude and longitude coordinates and returns boundary shapes that are on or near those coordinates.

 

In the geocoding recipe, you used built-in functions like ImportXML, CONCATENATE, and JOIN to get coordinates from place names using formulas like this:

- See more at: http://schoolofdata.org/2013/10/31/geocoding-geojson-boundaries-koordinates/#sthash.BIFsBQjG.8CTD8scz.dpuf

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The Future is Data | #dataviz #opendata

The Future is Data | #dataviz #opendata | Public Datasets - Open Data - | Scoop.it

At a time when journalism is undergoing a profound crisis as a result of the rise of social networks, financing difficulties, and increasing layoffs in the media industry, the 1st Data Journalism Conference organised by the Spanish chapter of the Open Knowledge Foundation opened up a new direction for the profession; a future that paradoxically goes back to its origins: to the search for new sources, to objective accounts of events and to data analysis.


Via Pierre Tran, Pierre Levy
luiy's insight:

Mar Cabra, an investigative journalist specialising in data journalism and a member of the International Consortium of Investigative Journalists (ICIJ), began her presentation by quoting The Guardian’s motto: “Facts are sacred”. And indeed, there is no room for opinion in data journalism, which simply consists of the facts and the objective information that can be extracted from the data. Cabra mentioned three examples of organisations that work with data – Sunlight Foundation, MySociety and Civio Citizen Foundation – and discussed several examples of journalistic stories put together using data, including:

Tu tasa de paro: “your unemployment rate”, a website that analyses Spain’s official unemployment figures released by the National Institute of Statistics, and calculates the unemployment rate for the profile entered by the user. The idea was inspired by a similar project developed in New York.España en llamas: “Spain in flames”, based on data from the Ministry of Agriculture, this map show all the fires recorded in Spain between 2001 and 2010. A project developed by Civio with the help of crowdfunding.How riot rumours spread on Twitter: a remarkable graphic analysis produced by The Guardian, which shows how a rumour is born and dies. This example studies the rumours spread through Twitter during the 2011 London riots.Dollars for docs: a project by ProPublica, a US-based data journalists association, which analyses the money that pharmaceutical companies give to general practitioners. Essential information that can shed light on why a doctor prescribes a particular drug, what pharmaceutical companies give doctors the most money, and so on.WhoKnowsWho: a project by British TV’s Channel 4 that shows the connections between people in positions of power and reveals the relationships between them.Qué hacen los diputados: a project – that continues to seek funds through crowdfunding – which allows users to keep tabs on what Catalan MPs do in Parliament: what they vote, the proposals they make, and so on.

Mar Cabra (whose presentation, in Spanish, is available here) raised the need for collaboration between journalists and programmers – an observation that would keep coming up throughout the conference. Journalists need somebody to help them tell their story graphically and to analyse the data, and programmers need somebody to find the story hidden among all that data. So how is the data obtained in the first place? Some clues can be found in blogs such as The Guardian Datablog, La Nación Data Blog, Information is beautiful, (Re)Structuring Journalism, Between the spreadsheets and Spreadsheet Journalism.

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Chad Gaffield's curator insight, July 8, 2013 8:29 AM

also could help increase sophistication in big data analysis...

Una Sinnott's curator insight, July 9, 2013 5:34 AM

An interesting look at the current state of data journalism.

Fàtima Galan's curator insight, July 16, 2013 4:31 AM

Great summary about the speakers talk given on the 1st Data Journalism Conference by Mar Cabra, Eva Belmonte, John Burn-Murdoch and Manuel Aristarán.
Through the data analysis today we can speak about Data Journalism, Smart Cities, Open Government. The use and exploitation of any data source, proprietary or external (Open Data or not), shows a change that allows processes for understand what happens and the development of others oriented to the business. The companies are the main interested on the acquisition and exploitation of this data to gain competitive advantage. But they aren’t the only ones able to use this data. Users can also maximize the creation and use of information for the creation and development of politics that allows a better management of our resources and benefits for the citizens.