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Taking the next steps for open government

Taking the next steps for open government | dataInnovation | Scoop.it

Waldo Jaquith is director of the U.S. Open Data Insitute, which Knight Foundation supports. With the input of Jaquith and other thought leaders, Knight Foundation is launching OpenGov and You, a companion to the 2013 Aspen Institute Forum on Communication and Society (FOCAS) that explores how we might tackle the obstacles to government openness and transparency.


Via Irina Radchenko
Fàtima Galan's insight:

"#Opendata was about providing information in formats that computers can understand. "

 

"#Opengovernment increasingly means “open government data,” reflecting changes in how people receive information today."

 

 

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dataInnovation
Proficient in Information System Design used to the development of Business Intelligence Platforms and Semantic Web Ontologies. With experience in the benefits of the knowledge extraction by integrating LinkedData Technologies and OpenData Sources.
Curated by Fàtima Galan
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Rescooped by Fàtima Galan from Big Data
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Using Customer Data? Start With Clean Data

Using Customer Data? Start With Clean Data | dataInnovation | Scoop.it

Data quality initiatives require strategic planning and concerted effort, and that means treating old data exactly the same as new.


Via Vanrijmenam
Fàtima Galan's insight:

"Data governance requires the right people, the right funding and sustained effort, but the reward is an error-free dataset that does not expose any party to unnecessary risk."

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AENOR: Ciudades Inteligentes, Open Data

AENOR: Ciudades Inteligentes, Open Data | dataInnovation | Scoop.it
Ciudades Inteligentes, Open Data

Via Miguel Acero
Fàtima Galan's insight:

"La norma UNE 178301 Ciudades Inteligentes. Datos Abiertos (OPEN DATA), es la primera norma que establece un conjunto de requisitos, para la reutilización de Datos Abiertos u Open Data elaborados o custodiados por el sector público, en el ámbito de las Ciudades Inteligentes. 

....

La UNE 178301 facilita la reutilización de los datos elaborados o custodiados por el sector público (open data) a los beneficiarios de esa información, como son las empresas proveedoras de servicios públicos o los ciudadanos, teniendo en consideración la aplicación de la ley de protección de datos de carácter personal. "

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Rescooped by Fàtima Galan from Open Government Daily
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UK open data "failed opportunity" says founding academic - Public Sector IT

UK open data "failed opportunity" says founding academic - Public Sector IT | dataInnovation | Scoop.it

Via Ivan Begtin
Fàtima Galan's insight:

"Ellen Broad, policy lead at the Open Data Institute (ODI), said in a submission to the UK consultation earlier this month the new rules were a "backwards step" for the government because they went contrary to its open data policy."

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Datafloq - Understanding Your Business With Descriptive, Predictive And Prescript

Descriptive, predictive and prescriptive analytics allow you to understand your business and make better-informed decisions taking into account future outcomes.
Fàtima Galan's insight:

" these three types of analytics should co-exist. One is not better than the other, they are just different, but all of them are necessary"

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Rescooped by Fàtima Galan from Influence et contagion
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World Cup 2014 - Germany vs. Argentina | #SNA #dataviz

World Cup 2014 - Germany vs. Argentina | #SNA #dataviz | dataInnovation | Scoop.it

Via luiy
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luiy's curator insight, December 23, 2014 4:38 PM

The 2014 World Cup in Brazil has begun. Check HuffPost's World Cup dashboard throughout the tournament for standings, schedules, and detailed summaries of each match.

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How the developing world is using open data

How the developing world is using open data | dataInnovation | Scoop.it
New surveys reveal the challenges of open data-driven businesses in developing countries, explains Alla Morisson.

Via Irina Radchenko
Fàtima Galan's insight:

Impresive

"The goal of these surveys was to gather first cut information about whether the private sector in emerging countries has begun to produce open data-driven companies, and if yes, whether these companies face financing-related challenges. "

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Open Data Research Network Bibliography

Open Data Research Network Bibliography | dataInnovation | Scoop.it

This bibliography visualises an annotated collection of literature contributed by members of the Open Data Research Network, covering writing about the creation, supply, use and impacts of open data.

 


Via Irina Radchenko
Fàtima Galan's insight:

"This bibliography visualises an annotated collection of literature contributed by members of the Open Data Research Network"

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Rescooped by Fàtima Galan from BIG data, Data Mining, Predictive Modeling, Visualization
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Data analytics for HR: how to make effective recruitment.

Data analytics for HR: how to make effective recruitment. | dataInnovation | Scoop.it
In his book Drive, management author Daniel Pink talks about the disconnect between “what science is telling us and what businesses do”. He refers to employee motivation and how organisations use v...

Via AnalyticsInnovations
Fàtima Galan's insight:

"It’s not all ‘Moneyball’ and to hope that data scientists alone will help solve talent challenges is naïve. Data-based insights can only act as indicators by themselves. Domain experts like hiring managers, HR professionals, and recruiters involved must be able to identify the problem and ask the right questions before applying analytics."

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Economic complexity: A different way to look at the economy

Economic complexity: A different way to look at the economy - Foundations & Frontiers - Medium

By W. Brian Arthur; External Professor, Santa Fe Institute; Visiting Researcher, Palo Alto Research Center. 

Economics is a stately subject, one that has altered little since its modern foundations were laid in Victorian times. Now it is changing radically. Standard economics is suddenly being challenged by a number of new approaches: behavioral economics, neuroeconomics, new institutional economics. One of the new approaches came to life at the Santa Fe Institute: complexity economics.

Complexity economics got its start in 1987 when a now-famous conference of scientists and economists convened by physicist Philip Anderson and economist Kenneth Arrow met to discuss the economy as an evolving complex system. That conference gave birth a year later to the Institute’s first research program – the Economy as an Evolving Complex System – and I was asked to lead this. That program in turn has gone on to lay down a new and different way to look at the economy.


Via Alessandro Cerboni
Fàtima Galan's insight:

"Where does complexity economics find itself now? Certainly, many commentators see it as steadily moving toward the center of economics. And there’s a recognition that it is more than a new set of methods or theories: it is a different way to see the economy. It views the economy not as machine-like, perfectly rational, and essentially static, but as organic, always exploring, and always evolving – always constructing itself."

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Jason Leong's curator insight, January 2, 11:34 PM

"Where does complexity economics find itself now? Certainly, many commentators see it as steadily moving toward the center of economics. And there’s a recognition that it is more than a new set of methods or theories: it is a different way to see the economy. It views the economy not as machine-like, perfectly rational, and essentially static, but as organic, always exploring, and always evolving – always constructing itself."

Rescooped by Fàtima Galan from Data Management Thread
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Big Picture: Google Visualization Research

Big Picture: Google Visualization Research | dataInnovation | Scoop.it

Via Irina Radchenko
Fàtima Galan's insight:

"how information visualization can make complex data accessible, useful, and even fun"

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Rescooped by Fàtima Galan from Linked Data and Semantic Web
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LOD Laundromat

LOD Laundromat | dataInnovation | Scoop.it
LOD Laundromat: cleaning all the Linked Open Data in the world.

Via Irina Radchenko
Fàtima Galan's insight:

"crawling the LOD cloud, and converting all its contents in a standards-compliant way (gzipped N-Triples), removing all data stains such as syntax erros, duplicates, and blank nodes."

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BBC - Blogs - Internet blog - Opening up the BBC's Linked Data with /things

BBC - Blogs - Internet blog - Opening up the BBC's Linked Data with /things | dataInnovation | Scoop.it
The BBC Things website is designed to be used by anyone who works with our data at a technical or editorial level. From an editorial perspective, the website makes it easy for content editors, producers and creators to discover concepts that exist in our platform.
Fàtima Galan's insight:

"The new website provides public access to data stored in our platform and, importantly, provides a public reference for all of the things that the BBC creates content about. "

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Rescooped by Fàtima Galan from Open Government Daily
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CERN Open Data Portal

CERN Open Data Portal | dataInnovation | Scoop.it

Via Ivan Begtin
Fàtima Galan's insight:

"The CERN Open Data portal is the access point to a growing range of data produced through the research performed at CERN. It disseminates the preserved output from various research activities, including accompanying software and documentation which is needed to understand and analyze the data being shared."

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Rescooped by Fàtima Galan from Smart Cities in Spain
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#Málaga medirá calidad del aire a través de reparto de @correos

#Málaga medirá calidad del aire a través de reparto de @correos | dataInnovation | Scoop.it
CORREOS y el Ayuntamiento de Málaga apuestan por la tecnología Smart City para mejorar la calidad de vida de los ciudadanos
La ciudad de Málaga ha desarrollado un proyecto piloto innovador capaz de m

Via Toni Sánchez
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Rescooped by Fàtima Galan from Open Government Daily
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Unleashing the Potential of Open Data in Russia

Unleashing the Potential of Open Data in Russia | dataInnovation | Scoop.it
maxim

Via Ivan Begtin
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Ivan Begtin's curator insight, January 14, 4:15 AM

World bank about Russian open data

Rescooped by Fàtima Galan from Paco Prieto
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Invertir en ideas - Ideas que cuentan

Invertir en ideas - Ideas que cuentan | dataInnovation | Scoop.it
Los malos resultados de América Latina en materia de esfuerzo innovador generan preocupación y ha llevado a varios países a analizar por qué esto ocurre.

Via Paco Prieto
Fàtima Galan's insight:

" Subirse a la carrera de la innovación no deja de tener sus costos para las empresas ya que corren el riesgo de invertir en algo que, cuando tiene éxito, probablemente beneficie a la competencia.  "

 

"La pregunta es: ¿cómo abordar estas fallas de mercado que impiden la realización de innovaciones socialmente valiosas?"

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Datafloq - The Future of Big Data? Three Use Cases of Prescriptive Analytics

Prescriptive analytics is the future of Big Data, giving great insights using massive data sets. What are some applications of prescriptive analytics?

Via Vanrijmenam
Fàtima Galan's insight:

"If we see descriptive analytics as the foundation of Business Intelligence and we see predictive analytics as the basis of Big Data, than we can state that prescriptive analytics will be the future of Big Data."

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Rescooped by Fàtima Galan from Peer2Politics
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How the sharing economy will develop in 2015

How the sharing economy will develop in 2015 | dataInnovation | Scoop.it

The #sharing #economy has grown exponentially in the past few years to the point where it has impacted nearly all industries.


Via jean lievens
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miracletrain 夢想驛站's curator insight, December 22, 2014 6:40 AM

The unstoppable rise of the Sharing Economy, it could be the Internet's most divisive revolution.

Nimber's curator insight, January 13, 12:51 PM

Featuring yours truly in the logistics bit.

Rescooped by Fàtima Galan from Terminology rocks!!
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BabelNet™ | A very large multilingual encyclopedic dictionary and semantic network

BabelNet™ | A very large multilingual encyclopedic dictionary and semantic network | dataInnovation | Scoop.it
BabelNet is both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms in 50 languages, and a semantic network which connects concepts and named entities in a very large network of semantic relations, made up of more than 9 million entries.

Via Maria Pia Montoro
Fàtima Galan's insight:
http://babelnet.org/search?word=coraz%C3%B3n&lang=ES

Noun

corazón

El corazón es el órgano muscular principal del aparato circulatorio en todos los animales que poseen un sistema circulatorio.

ID: 00043383n | Concept

 afección, afectividad, afecto, corazón

Philia, Phil-, es un antiguo término griego para referirse al amor fraterno, incluyendo amistad y afecto.

ID: 00001744n | Concept

 centro, corazón, enjundia

Lo que realmente le sobra a Antonio y a Laura, vecinos TOP La palabra esencia proviene del latín essentia que a su vez proviene del infinitivo del verbo latino esse, ser = existir, cuyo participio ens es el ente como ser que existe.

ID: 00017124n | Concept

 amado, amor, cariño, corazón

  A beloved person; used as terms of endearment

ID: 00009819n | Concept

 Corazón: Diario de un niño, Corazón (novela)

Corazón: Diario de un niño es una obra literaria escrita por el autor italiano Edmundo de Amicis en 1886.

ID: 03176635n | Named Entity

 Corazón (programa de televisión)

Corazón es un programa de televisión emitido por la cadena española La 1 de Televisión Española.

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Eliana Lobo's curator insight, December 2, 2014 8:26 PM

Always looking for a large multilingual dictionary? Here's a big one!

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Data science: 'Machines do analytics. Humans do analysis'

Data science: 'Machines do analytics. Humans do analysis' | dataInnovation | Scoop.it
Two leaders of Booz Allen's data science team talk talent, building a data science team and the machine-human link in analytics.

Via Don Dea, Luca Naso
Fàtima Galan's insight:

"Data science is a team sport and you need a diverse team to explore multiple angles."

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Don Dea's curator insight, December 10, 2014 1:06 AM

No machine can be a miracle cure. Humans have to find the patterns, ask the right questions and make the connections in the data. "Machines do analytics," explained Sullivan. "Humans do analysis." Computers are good at detail and examining the past, but real data science requires imagination and cognitive ability.

Luca Naso's curator insight, December 11, 2014 11:33 AM

In Data Science "talent" means to be "relentless in the face of failure"

 

Insights (aka Big Data Value) builds on Big Brains:

No machine can be a miracle cure. Humans have to find the patterns, ask the right questions and make the connections in the data.

Carla Gentry CSPO's curator insight, December 14, 2014 9:42 AM

Sullivan isn't big on analytics technology that serves as a magic bullet to data science. No machine can be a miracle cure. Humans have to find the patterns, ask the right questions and make the connections in the data. "Machines do analytics," explained Sullivan. "Humans do analysis." Computers are good at detail and examining the past, but real data science requires imagination and cognitive ability.

Rescooped by Fàtima Galan from Open Government Daily
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D5 London 2014: leading digital governments - GOV.UK

D5 London 2014: leading digital governments - GOV.UK | dataInnovation | Scoop.it
The UK is hosting the first summit of a new global network called D5 on 9 to 10 December 2014. This is a group of some of the most digitally advanced governments in the world.

The founding members are United Kingdom, South Korea, Estonia, Israel and New Zealand.

We will tweet about the summit from [@CabinetOfficeUK](https://twitter.com/cabinetofficeuk) and [@GDSTeam.](https://twitter.com/gdsteam) Join the conversation with [#D5London. ](https://twitter.com/search?f=realtime&q=%23d5london&src=typd)

Via Ivan Begtin
Fàtima Galan's insight:

"This is a group of some of the most digitally advanced governments in the world."

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Ivan Begtin's curator insight, December 12, 2014 12:56 AM

A news about D5 in UK. Is it OGP replacement?

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R&D Fund Glossary - Native

R&D Fund Glossary - Native | dataInnovation | Scoop.it
Below is a glossary of words, concepts and tools that have been important to the R&D Fund projects so far.  10 Basic Terms Software is the general name for the programs and other operating information that run on a computer or device. Hardware is the general name for any of the physical components of a...
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With Big Data Comes Big Responsibility: Toward a New Deal on Data | HBR

With Big Data Comes Big Responsibility: Toward a New Deal on Data | HBR | dataInnovation | Scoop.it

Big data and the “internet of things”—in which everyday objects can send and receive data—promise revolutionary change to management and society. But their success rests on an assumption: that all the data being generated by internet companies and devices scattered across the planet belongs to the organizations collecting it. What if it doesn’t?

 

Alex “Sandy” Pentland, the Toshiba Professor of Media Arts and Sciences at MIT, suggests that companies don’t own the data, and that without rules defining who does, consumers will revolt, regulators will swoop down, and the internet of things will fail to reach its potential. To avoid this, Pentland has proposed a set of principles and practices to define the ownership of data and control its flow. He calls it the New Deal on Data. ...


Via Rob Kitchin
Fàtima Galan's insight:

"We’ve set up some safe-harbor areas in Europe—cities that run by different rules than the rest of Europe. In Trento, Italy, hundreds of families are living with the New Deal on Data. They get notification and control of data generated about them. It’s securely shared in an auditable way. And guess what? These people share a lot more than people who don’t live under New Deal rules, because they trust the system and recognize the value in sharing. Being confident about your personal data makes for a better economy, not a worse one."

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A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz

A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz | dataInnovation | Scoop.it
It’s been said that we’re living in the golden age of data visualization. And why shouldn’t we be? Every move we make is potential fodder for a bar chart or line graph. Regardless of how you feel about our constant quantification, its been a boon for designers who have made some exceptional infographics—and some not…

Via luiy
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luiy's curator insight, November 24, 2014 5:47 AM

A new book from graphic guru and School of Visual Arts professor Steven Heller and designer Rick Landers looks at that the process of more than 200 designers, from first sketch to final product. The Infographic Designers Sketchbook is almost exactly what it sounds like. The 350-page tome is essentially a deep dive into the minds of data designers. Heller and Landers have chosen more than 50 designers and asked them to fork over their earliest sketches to give us insights into how they turn a complex set of data into coherent, visually stunning data visualizations. “You see a lot more unbridled, unfettered work when you’re looking at a sketchbook,” says Heller. “You might be looking at a lot of junk, but even that junk tells you something about the artist who is doing it.”