Data Curation - Data Observatory

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Why DO
About DO

Why DO

History of 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.

Data curation is the management of data throughout its life cycle, from its initial capture and storage to the moment it is archived for posterity or becomes obsolete and deleted. The primary goal of data curation is to ensure that data can be retrieved reliably, safely, and efficiently.

Data Observatory provides data curation capabilities, maintaining their privacy and security under the cloud model. For this, it provides the following guarantees:

Data confidentiality model. All the data delivered to Data Observatory is under a confidentiality agreement that guarantees access and use of them only for users / developers specified in said agreement;
Data privacy. It is considered as the right of the data provider to have control over how they are used (access, use, etc.), so the data received from their providers is handled under the highest security standards and best practices.