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Twitter Data Mining Round Up | #python #ddj #openaccess

Twitter Data Mining Round Up | #python #ddj #openaccess | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Since the release of Mining the Social Web, 2E in late October of last year, I have mostly focused on creating supplemental content that focused on Twitter data. This seemed like a natural starting point given that the first chapter of the book is a gentle introduction to data mining with Twitter’s API coupled with the inherent openness of accessing and analyzing Twitter data (in comparison to other data sources that are a little more restrictive.) Twitter’s IPO late last year also focused the spotlight a bit on Twitter, which provided some good opportunities to opine on Twitter’s underlying data model that can be interpreted as an interest graph.

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Europeana Labs: 30 million metadata records linking to millions of openly licensed media objects | #opendata #datasets

Europeana Labs: 30 million metadata records linking to millions of openly licensed media objects | #opendata #datasets | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Data

 

Our database contains over 30 million metadata records linking to millions of openly licensed media objects - books, photos, art, artefacts, audio clips and more. We'll be featuring some of our very best content here.

 

Europeana Labs combines rights-cleared images, videos, audio and text files with technical expertise, tools, services and business knowledge.

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@DemocracyOS will become the operating system of a more #open and #participatory #government

@DemocracyOS will become the operating system of a more #open and #participatory #government | Public Datasets - Open Data - | Scoop.it

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luiy's insight:

We are working on a user-friendly, open-source, vote and debate tool, crafted for parliaments, parties and decision-making institutions that will allow citizens to get informed, join the conversation and vote on topics, just how they want their representatives to vote. A tool that will transform the noise we create during protests into a signal that has a clear, direct and strong impact on the political system. Our vision is that DemocracyOS will become the operating system of a more open and participatory government. Live Demo for the City of Buenos Aires.

 

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#BigData & Society | #journals #openaccess

#BigData & Society | #journals #openaccess | Public Datasets - Open Data - | Scoop.it

Via Pierre Levy
luiy's insight:

Big Data & Society (BD&S) is an open access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.

The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge.

 

BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practices that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government and crowdsourced data.  Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes.

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Es ley el acceso libre a la información científica | #openaccess #openscience

Es ley el acceso libre a la información científica | #openaccess #openscience | Public Datasets - Open Data - | Scoop.it
El Senado de la Nación aprobó por unanimidad la norma que obliga a las instituciones científicas del país a facilitar el acceso abierto a las investigaciones.
luiy's insight:

Según el secretario de Articulación Científico Tecnológica del Ministerio, Alejandro Ceccatto, “la sanción de la ley es una respuesta a la posición monopólica de las grandes editoriales internacionales que concentran la publicación de investigaciones científicas” y agregó que “el objetivo es que la producción científica financiada por la sociedad sea accesible. Es inaceptable que si el Estado Nacional financia la investigación de una persona después no pueda la sociedad toda acceder a ese conocimiento”.

 

Tras la media sanción en la Cámara de Diputados, durante mayo de 2012, la prestigiosa revista Nature publicó que “este tipo de legislaciones nacionales no son comunes en el resto del mundo aunque algunos países están comenzando a delinear políticas tendientes al acceso abierto de las investigaciones financiadas por el Estado”. Además la revista resaltó que “Argentina está nacionalizando su producción científica” y que esto podría “beneficiar a la comunidad internacional”.

 

En la región, solo Perú posee una ley de Acceso Abierto sancionada el año pasado, que convirtió al país en el segundo de América Latina, después de Argentina, en elevar una legislación nacional al respecto. En el caso de Estados Unidos, la obligatoriedad de publicar las investigaciones solo alcanza a aquellas financiadas con fondos públicos a través de sus Institutos Nacionales de Salud (NIH). Finalmente la Comisión Europea promueve el acceso abierto pero todavía con iniciativas aisladas.

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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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Project #BigData. Expanding on Project C to look at a different use case | #datascience #opendata

Project #BigData. Expanding on Project C to look at a different use case | #datascience #opendata | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Project Big Data is an interactive tool which enables you to visualize and explore the funding patterns of over 600 companies in the Big Data ecosystem! It is based on the work I did for Project C (which you see and can read about here). The list of companies and their classification into categories is based on a dozen published sources and rough text analytics of the Crunchbase database. Crunchbase is a curated crowed sourced database of over 285k companies.

 

As for the data, there are 645 public & private companies in the data set. From Teradata and IBM to Actuate & Zoomdata. I began by harvesting data from Crunchbase by using their free API w/ Python. As of September, Crunchbase had 1250 funding events for 410 of the companies on my list. I've grouped these companies into 18 categories, allowing you to compare peers as well as trends across categories. Some of the categories are broken down further. For example, the tool allows you to differentiate between cloud-based and on premise solutions or SQL vs. NoSQL databases. I gathered additional data from a variety of sources. For example, LinkedIn was used to find the number of employees.

 

 

OPENACCESS Workbook: Project Big Data v1.0 

https://public.tableausoftware.com/download/workbooks/ProjectBigDatav1_0?format=html

 

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DiRT Directory : digital research #tools | #openaccess #dh

DiRT Directory : digital research #tools | #openaccess #dh | Public Datasets - Open Data - | Scoop.it
luiy's insight:

The DiRT Directory is a registry of digital research tools for scholarly use. DiRT makes it easy for digital humanists and others conducting digital research to find and compare resources ranging from content management systems to music OCR, statistical analysis packages to mindmapping software.

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QLET's curator insight, August 21, 2014 11:32 AM

Great index of digital research tools for the curious contemporary researcher.

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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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Announcing the PLOS Text Mining Collection | #DataScience #OpenAccess

Announcing the PLOS Text Mining Collection | #DataScience #OpenAccess | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Text Mining is an interdisciplinary field combining techniques from linguistics, computer science and statistics to build tools that can efficiently retrieve and extract information from digital text. Over the last few decades, there has been increasing interest in text mining research because of the potential commercial and academic benefits this technology might enable. However, as with the promises of many new technologies, the benefits of text mining are still not clear to most academic researchers.

This situation is now poised to change for several reasons. First, the rate of growth of the scientific literature has now outstripped the ability of individuals to keep pace with new publications, even in a restricted field of study. Second, text-mining tools have steadily increased in accuracy and sophistication to the point where they are now suitable for widespread application. Finally, the rapid increase in availability of digital text in an Open Access format now permits text-mining tools to be applied more freely than ever before.

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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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