
Language
Python
Tool Type
Web app
License
The MIT License
Version
1.3.2
Head of Cabinet of Ministers

Monitoreo apertura is a tool developed by the Argentine government to manage open data metadata published by various Argentine public offices. It facilitates data collection and updating, metadata validation, and measures data quality across the network. It was created to ensure correct documentation and updating of metadata, improving transparency in public management. It is shared to support the implementation of efficient and reliable open data practices in various government contexts.
Apertura Monitoring addresses the challenge of keeping government data metadata updated and well-documented, ensuring that information is accurate and error-free.
Data Compliance Tracking: Monitors and tracks public institutions' compliance with open data and transparency standards. Data Visualization: Provides interactive data visualizations and dashboards to represent compliance data. Reporting and Assessment: Generates reports and assessments of institutions' transparency efforts. User Collaboration: Enables collaboration among users for data verification and reporting. Notification System: Sends alerts and updates on compliance status changes. Performance Metrics: Measures the impact of open data initiatives on government transparency. Data Accessibility: Promotes accessibility to open government data for citizens and stakeholders. Data Insights: Offers insights and analytics to identify areas for improvement.
Open-source web application that monitors open data in formats like CSV and JSON. Uses backend technologies like Python or Ruby and relational databases. Focused on security, scalability, and comprehensive documentation.

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This image appears to display a data management interface with various entries and status indicators related to judicial, energy, and economic sector information in Argentina.

Diagram of Ubuntu 16.04 LTS server with Python3 virtual environment hosting Django web app, rqworker, and rescheduler. Connections to Redis, PostgreSQL databases, and nginx web server.

This image displays the logo of the project and illustrates a process or workflow, possibly depicting the generation of indicators within the project, highlighting key steps or data flow.
Technical guide for configuration and use of the tool.
