Data as Public Goods - Data Observatory

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Why DO
About DO

Why DO

Mission and Vision

Board of Directors

DO Team
Acquire, process and store data sets generated by public or private institutions and for the development of science and technology, innovation, knowledge and their applications in the economy

Democratizing access to data not only means making it available, but helping to make its use transversal
Data infrastructure
Cloud Computing

Data Science

Data Curation
Data Science can be understood as the study of data, where they come from, what they represent and the ways in which they can be transformed into valuable contributions to create scientific, commercial and social strategies.

Democratizing access to data not only means making it available, but helping to make its use transversal
Science and Knowledge
Astronomy

Earth Observation

Data as Public Goods
Chile has a unique location in the southern hemisphere with more than 6,000 km of coastline and mainland stretching through 38 ° latitude, making it the place for Natural Laboratories, which include a wide range of climates, ecosystems and natural disasters

Chile as an emerging economy, Chile constantly seeks mechanisms to evolve from having its economy based on the extraction of raw materials to having it based on the creation of knowledge
Talent Development
Education

Training

Employment Opportunities
Within the DO's objectives it is considered to generate instances of education, talent development, algorithm training and new technologies.

The focus is broad and transversal, from the generation of interest in the field of Data Science at the elementary and middle school, undergraduate and postgraduate levels, in addition to motivating professional work in the data area through opportunities, challenges and networking of national and international talents.
Community
Data Democratisation
The Data Observatory, due to its transversal nature, considers the different actors as a fundamental element in its work.

Open data is data that is available for use without legal restrictions, and under an open license, for its use and exploitation. These data may be public or those that their owners have decided to leave without restrictions for their use. Normally these data are published in formats that allow easy use and reuse. Some of the most common open data formats are:

CSV (Comma Separated Values): is a type of plain text document to represent tabulated data in columns separated by commas (or semicolons) and rows separated by line breaks.
XML (Extensible Tagged Language): is the standard used for the exchange of structured information between different platforms.
JSON (Javascript Object Notation): it is a simple and light format for data exchange, easy to read and interpret by people and simple to be analyzed and generated by machines.

However, public data cannot always be used in a simple way, and in general they are difficult to integrate, generating different representations under similar contexts.

Data Observatory works in the area of open data, developing mechanisms that allow easy access and reuse, promoting their accessibility for researchers and the general public in a simple and expedite manner.