Project description

Conocimiento Abierto from 7 years we work with journalists, researchers, ademics, newsrooms and NGOs with the aim of strengthening open data. We work with media such as La Nación, La Nación Data, Clarín Data, Checked, Google News Iniciative in Argentina among other media. We seek to strengthen democracy and free expression.
We are organizers of Abrelatam – the most important open data event of Améri and the Open Data Conference 2018. We made several DataCamp in several countries such as Paris, Argentina and Uruguay with journalists associations and Open Government Partnership. We have an impact on the first Law on Access to Public Information and we are benchmarks in Open Data before the National Congress of Argentina and the Executive Power in various projects.
A team of journalists and researchers use the data of the Judicial Information Center of Argentina (cij.gob.ar) daily, which publishes in real time the progress of the causes of corruption. Imagine looking, understanding the logic of a site made only for the judiciary but is relevant information for journalism and research? Well, from Open Knowledge together with the expert organization in judicial issues Civil Association for Justice we developed a platform with open data, visualizations and interactive.
The first problem of the CIJ site does not offer the possibility of downloading information in open format and has a user friendly interface in addition to having technical content for journalists.
The CIJ publications are the creation or termination of any cause, the resolutions generated by the courts of justice and chambers of justice of Argentina. Currently there are more than 1000 cases in process, more than 500 completed and about 5000 PDF of justice resolutions. The Information Center, for the official data it provides, is of utmost importance for journalists, organized civil society and interested users.
Only experts in the field of justice can understand how the information is published and it is difficult to analyze the legal status of each case.
A site with this information and features is fundamental for journalism to cross-check data and strengthen investigations involving, for example, officials, businessmen, people linked to corruption, among other information.
The project called \”Observatory of Corruption\” that we propose is created by the organization Open Knowledge and the Civil Association for Justice (ACIJ) with the support of NED (National Foundation for Democracy) cosumiendo the data of the CIJ and releasing in open data, being a starting point to understand the causes of corruption, its stakeholders and the times of the Argentine federal judicial system in an automated, didactic way and with visualizations of data, supplanting a manual exercise by an automated development. This tool is the solution of technology and data to collaborate with journalists and researchers.

What makes this project innovative?

It is a data tool to collaborate with journalists and investigators in search of information about legal cases. This platform of open data and visualizations is a solution to a daily problem of consumption with information. The solution we provide is the download of data and visualizations that allows transparency, agility in search of information with specialized search engines, using machine learning and automated scrapers from various sources. The platform uses data through a scraper that allows in real time to feed the platform that contains a data standard. We believe that this platform marks a before and after in the consumption of data of judicial cases and will benefit hundreds of journalists who work in investigating.

What was the impact of your project? How did you measure it?

The first impact is that journalists will stop using static data and from the CIJ platform that generates the information, to download and re-use it in open format. Second, the visualizations of processed data provide clear information and saving time to data users and information producers Third, the information will no longer be only for experts in judicial information, now journalists, newsrooms and people who use data will be able to understand judicial information. with journalists and media, we will launch in May where we will have metrics to make visible. In principle, meetings with journalists helped improve user interaction.

Source and methodology

It works by crossing various data sources such as the Judicial Information Center, Justicia Pedia (Checked) and wikipedia biographies (through wikidata) and other data sets from official sources such as datos.jus.gob.ar. The scrapers developed to consume each platform and feed the Observatory of Corruption project makes this automation possible The automation of the data load in the Corruption Observatory was developed, which allows all the data to be updated daily. The Corruption Observatory can be used in 3 ways: * downloading a zip with all the CSVs processed from with the sources of information. * through our rest API to make an automated use of data on third-party platforms. * through our web interface. This only requires the name of the person or the media name of the court case to generate a "form"

Technologies Used

We use a pool of different technologies for each of the stages. We developed 3 scrapers: 1 - To scrape the CIJ (Judicial Information Center of Argentina) because it does not offer a way to download data such as judicial sentences. The scraper every day at a specific time collects the data that is downloaded into a database managed by our partnership, the ACIJ organization. 2 - Scraper to collect profile data of officials and politicians on wikipedia 3 - Scraper to download the data of the Justiciapedia project (Developed by Checked and now administered by ACIJ) 4 - Analyze, order, structure, unify the data with Python 5 - We use Neo4j as a database 6 - Python-flask as backend 7 - vue.js to develop the front 8 - d3.JS for the multiple dynamic visualizations We take care of releasing the datasets for use to contribute to the open data culture. Also the code is freely available to replicate.

Project members

Franco Bellomo Yas Garcia Renzo Lavin Marcelo Guilliotti

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