Number of found documents: 238
Published from to

Collecting the EU's Regional Funds
Lindenberg, Friedrich
2012 - English
One of the key funding mechanisms of the European Union is the Regional Policy, which helps to implement infrastructure projects across the 27 member states. Money is allocated along a set of objectives and disbursed at the regional level, by 60-odd managing bodies. But who is getting the money and what is it really spent on? The answer lies distributed across the local administrations and has only been collected into a common database once, in 2010. It took the TBIJ and Financial Times eight months to gather the information, leading to a series of disclosures about misallocated funds and shady projects. This is why we believe that there should be a constantly-updated database of these reports, maintained by an open community and available as a resource to journalists and policy makers at any time. The right time to start such a data commons, as the 2007-2013 budgetary cycle of the EU is coming to a close and it's time to get a picture of how well the goals set out for 347 billion Euros of funding during this period have been reflected in actual projects. We want to make a map of member states and regions where open data projects are already collecting this data and then form small teams to take on the uncharted terrtories, find PDF reports and to convert them to clean and useable data. So, join the ERDF Ghostbusters and help us to map the European money! Keywords: otevřená data; veřejný rozpočet; Evropský fond regionálního rozvoje; BigClean; ERDF; Open Data; public budget; European Regional Development Fund; BigClean; ERDF; Evropská unie; teorie dat; veřejné finance Available in the NTK library.
Collecting the EU's Regional Funds

One of the key funding mechanisms of the European Union is the Regional Policy, which helps to implement infrastructure projects across the 27 member states. Money is allocated along a set of ...

Lindenberg, Friedrich
Národní technická knihovna, 2012

Strigil
Zvirinský, Peter
2012 - English
Data scraping is a way to gather and integrate data from different data sources. In this presentation, we will describe Strigil, a framework for automatized screen-scraping. It allows to define custom scraping scripts in intuitive graphical user interface and provides a solution for scalable and distributed scraping. Keywords: získávání dat; Strigil; otevřená data; BigClean; data scraping; Strigil; Open Data; BigClean; sběr dat Available in the NTK library.
Strigil

Data scraping is a way to gather and integrate data from different data sources. In this presentation, we will describe Strigil, a framework for automatized screen-scraping. It allows to define custom ...

Zvirinský, Peter
Národní technická knihovna, 2012

ODCleanStore Framework
Michelfeit, Jan
2012 - English
We present an ODCleanStore framework (1) enabling management of Linked Data on the Web and (2) providing web applications with a possibility to consume cleaned and integrated Linked Data according to their needs. Keywords: ODCleanStore framework; Linked Data; otevřená data; BigClean; ODCleanStore framework; Linked Data; Open Data; BigClean; webové aplikace; teorie dat Available in the NTK library.
ODCleanStore Framework

We present an ODCleanStore framework (1) enabling management of Linked Data on the Web and (2) providing web applications with a possibility to consume cleaned and integrated Linked Data according to ...

Michelfeit, Jan
Národní technická knihovna, 2012

Community Tools as a platform for bringing relevant open data to your community
Laupmaa, Henri
2012 - English
Keywords: otevřená data; BigClean; komunita; Community Tools; Open Data; BigClean; community; Community Tools; teorie dat; webové aplikace Available in the NTK library.
Community Tools as a platform for bringing relevant open data to your community

Laupmaa, Henri
Národní technická knihovna, 2012

ScraperWiki Tutorial
Levine, Thomas
2012 - English
The objective of the workshop, or better hackathon, was to get the data into a structured format, and join it with data from another sources – together with an overview and showing by example what is possible with scraping. Thomas identified targets for web scraping and navigating the complexity of different types of web pages and introduced that in a few half-hour-long and hour-long modules that catered to different audiences. Keywords: sbírání dat; čištění dat; strukturované data; BigClean; scraping; data cleaning; structured data; BigClean; teorie dat Available in the NTK library.
ScraperWiki Tutorial

The objective of the workshop, or better hackathon, was to get the data into a structured format, and join it with data from another sources – together with an overview and showing by example what is ...

Levine, Thomas
Národní technická knihovna, 2012

Map of criminality in Prague
Cibulka, Jan
2012 - English
I plan to show how the Prague Crime Map was created. The starting point was data published officially by the Police, followed by a more specific database, which I requested from the Police. We will look at the first attempt to visualize the data, which failed spectacularly. On this example I will demonstrate the importance and necessity of analysis before data requests and project launching. I will also show how the second version of the map was created in cooperation with the Czech Statistical Office. Finally, demonstration of final data refining and its visualization will be shown. The map itself should be more accurate than the current map of crime compiled by the Police (the project is still running, final version should be ready by the end of August). Keywords: Pražská mapa kriminality; otevřená data; Česká republika; Praha; BigClean; Prague Crime Map; Open Data; Czech Republic; Prague; BigClean; teorie dat; kriminalita; vizualizace Available in the NTK library.
Map of criminality in Prague

I plan to show how the Prague Crime Map was created. The starting point was data published officially by the Police, followed by a more specific database, which I requested from the Police. We will ...

Cibulka, Jan
Národní technická knihovna, 2012

On the money trail: OpenSpending
Lindenberg, Friedrich
2012 - English
Keywords: BigClean; otevřená data; OpenSpending; mapování peněz; BigClean; Open Data; OpenSpending; maping the money; webové aplikace; vizualizace; teorie dat Available in the NTK library.
On the money trail: OpenSpending

Lindenberg, Friedrich
Národní technická knihovna, 2012

Using European Data in Journalism
Barr, Caelainn
2012 - English
The European Union is awash with numbers. Data about how european citizens live and our taxes are spent are widely available - the challenge lies in using them. Figures are published on a centralised, national and regional basis with little in common. Data formats, presentation and quality vary greatly. How can we use this information as citizens and journalists to understand the union and generate stories? Why should journalists and developers work together to look at European data? Using practical and live examples of data use including commission expenses and structural funds we will demonstrate how to get EU data, how to prepare it for analysis, the trends to look out for and how to translate it into a story. Keywords: občan; otevřená data; datová žurnalistika; BigClean; evropská data; citizen; Open Data; data journalism; BigClean; European data; teorie dat; žurnalistika; Evropská unie Available in the NTK library.
Using European Data in Journalism

The European Union is awash with numbers. Data about how european citizens live and our taxes are spent are widely available - the challenge lies in using them. Figures are published on a centralised, ...

Barr, Caelainn
Národní technická knihovna, 2012

How much do we need to clean?
Chvalkovská, Jana Gutierrez
2012 - English
Purpose-driven cleaning. How much do we need to dig into data quality depends on what for do we need it. Practical experience from procurement, insolvency, public auction and other registries. Keywords: otevřená data; kvalita dat; BigClean; Open Data; data quality; BigClean; teorie dat; veřejná správa Available in the NTK library.
How much do we need to clean?

Purpose-driven cleaning. How much do we need to dig into data quality depends on what for do we need it. Practical experience from procurement, insolvency, public auction and other registries.

Chvalkovská, Jana Gutierrez
Národní technická knihovna, 2012

Open data case studies and visualizations in Estonia
Laupmaa, Henri
2012 - English
Keywords: otevřená data; BigClean; vizualizace; případová studie; Estonsko; Open Data; BigClean; visualization; case study; Estonia; vizualizace; teorie dat; veřejná správa Available in the NTK library.
Open data case studies and visualizations in Estonia

Laupmaa, Henri
Národní technická knihovna, 2012

About project

NRGL provides central access to information on grey literature produced in the Czech Republic in the fields of science, research and education. You can find more information about grey literature and NRGL at service web

Send your suggestions and comments to nusl@techlib.cz

Provider

http://www.techlib.cz

Facebook

Other bases