An Overview of the Open Science in Times of Big Data and Innovation to Global Health

• Autor(a) principal: Magalhães, Jorge
• Data de Publicação: 2017
• Outros Autores: Hartz, Z, Antunes , Adelaide, Martins, MR
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/33759
• topic: Innovation; Global health; Technological trends; Open science; Collaborative intelligence; web 2.0; Big data; Public Health, Environmental and Occupational Health; Health Information Management; SDG 3 - Good Health and Well-being

The last several years have revealed information technology and scientific data to be important allies. However, the most important scientific ally is that which can assist in the complex task of identifying, collecting and treating the exponential amount of data added to the Web every day in the XXI century. Moreover, the volume of this data exceeds 2.5 x 1018 new bytes per day and arrives on the Web at a rapid speed. Thus, it is necessary to assess the veracity of these data and their value to decision-making. Although approximately 43% of the data are related to health and about one million scientific articles published per year are in the health field, it is important to think beyond trivial models to solve problems of local health with a global focus. Thus, this work aims to contribute to the reflection on the use of free tools as well as to discussions of collaborative and effective partnerships for action in the field of Public Health. This study shows opportunities to use open science for global health innovation, mainly, to the countries with difficulty in managing the problems of their ills. Open science in times of Big Data are much more agile than the old model of closed science, i.e., isolated groups that either did not share data or did share but at prices that were unaffordable for developing or underdeveloped countries. Technological development for new chemical entities can be facilitated by using the open science of the Scientific’s Big Data.