Homo Numericus Bis
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Homo Numericus Bis
humanités numériques
Curated by Mlik Sahib
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Rescooped by Mlik Sahib from Public Datasets - Open Data -
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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 | Homo Numericus Bis | Scoop.it
Source - Journalism Code, Context & Community

Via luiy
Mlik Sahib's insight:

"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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luiy's curator insight, March 16, 2014 6:36 AM

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.

  

Rescooped by Mlik Sahib from e-Xploration
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Developing Data Journalists in the Developing World | #opendata #DDJ

Developing Data Journalists in the Developing World | #opendata #DDJ | Homo Numericus Bis | Scoop.it
Source - Journalism Code, Context & Community

Via luiy
Mlik Sahib's insight:

"Data availability, data and digital literacy, and the media environment largely dictate the direction data projects can take in any given place. Over the next few months we will be launching data journalism projects focused on:

the environment and food safety in China, where we will rely on an online discussion forum to provide support between weekend training sessions;a combination of a boot camp and mentored reporting projects for election reporting in Afghanistan; andpartnerships between journalists and NGOs for human rights reporting in Nicaragua.

All these projects are focused on cultivating data communities that will prepare journalists to thrive, working within their local context with the resources they have available. It’s not within our reach to foster an entire new generation of journo-coders: what we can do is pool available talent from different sectors to coalesce into a data community. Working together with other local incubators, we hope to eventually offer fellowships in other countries to help journalists—like our fellows in Kenya—become analytical thinkers with a news-nose for data stories and a willingness to work with the nascent data community to get the story out, both in and outside the newsroom."

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luiy's curator insight, March 10, 2014 5:46 PM

Developing Data, Skills & Community

 

To grow our data community we needed both an online incubator for data access and offline incubator for training and community building. Our flagship site, the Data Dredger, is a resource for Kenyan journalists to download, embed, and publish visualizations of Kenyan data. Our first task was to accumulate enough data for journalists to tell stories relevant to their audiences. Many exercises in the training work relied on World Bank or UN data for country-level analysis, but this data is hardly compelling for your average Kenyan media consumer, who is more concerned with his or her family or community than with global trends; they want to know how many mothers die prematurely in their community as compared to one county—not one country—over. Journalists can access Kenya-specific visualizations on our site. We produced Politics of Health ahead of the 2013 Kenyan presidential elections to fact-check candidates’ campaign promises, and visualized areas of malarial risk, maternal mortality, and anti-retroviral shortages. The Data Dredger was the only finalist from Africa in the 2013 Data Journalism Awards.

Catherine Pascal's curator insight, March 16, 2014 9:06 AM

 Essentiel ;-)  Merci de la transmission P. Levy ;-)