The course aims to strengthen and contribute to the field of Open Data Science with the support of the CYTED Program, the RedCLARA Cooperation and the European Commission project ResInfra Plus.
Description and objectives:
The course will address the meaning, scope and implementation of data ontologies and FAIR principles (findable, accessible, interoperable, reusable) and their reliability as a way to implement open science. Based on the technical knowledge acquired, a practical case of interest to the student will be identified and proposed in the last synchronous session, which will be transferred as its own project to the second phase of the course to be held in autumn 2024. There will also be presentations. of this type of development on an Ibero-American scale. The contents that will be addressed in this course are: • The effective exploitation of shared scientific infrastructures • The adoption and implementation of the FAIR principles • The strengthening of education in STEM (science, technology, engineering and mathematics) and, in particular, the promotion of this type of training in girls and the relationship between gender and science • The implementation of ethics in science and technology, especially due to the new challenges posed by artificial intelligence • Policies and capacities in communication, dissemination and scientific diplomacy • Strengthening the monitoring of progress in science and innovation • Promoting economic development with new technologies and innovation.
Addressed to:
Researchers and technologists with higher degrees in any scientific-technological branch as well as professionally trained technologists working in the field of information and communication technologies, engineering or telecommunications that handle data from public administrations in the Latin American region.
Countries of participants/recipients:
Argentina; Bolivia; Brazil; Bahamas; Chile; Colombia; Costa Rica; Cuba; Ecuador; El Salvador; Guatemala; Honduras; Mexico; Nicaragua; Panama; Paraguay; Peru; Dominican Republic; Uruguay; Venezuela.
Contents and Methodology:
The course will discuss the meaning, scope and implementation of data ontologies and FAIR principles (findable, accessible, interoperable, reusable) and their reliability. Participants will not only learn all these concepts, but they will identify and propose a practical case of their interest in the last synchronous session that will be carried over as their project in the second event. The course will combine synchronous sessions with asynchronous sessions.
Tuition cost:
Free of charge
