RESUMO
In discussing open science, one forgets that its key concept is collaboration, which may be either accelerated or hampered by digital technologies. Collaboration in personal interactions is hard; how much harder, then, is it to collaborate across temporal, geographical, or cultural barriers? Open science can be seen as a worldwide case study on peopleware-a major source of costs, but a huge asset.
RESUMO
On 16 July 2020, the Court of Justice of the European Union issued their decision in the Schrems II case concerning Facebook's transfers of personal data from the EU to the US. The decision may have significant effects on the legitimate transfer of personal data for health research purposes from the EU. This article aims: (i) to outline the consequences of the Schrems II decision for the sharing of personal data for health research between the EU and third countries, particularly in the context of the COVID-19 pandemic; and, (ii) to consider certain options available to address the consequences of the decision and to facilitate international data exchange for health research moving forward.
Assuntos
COVID-19/epidemiologia , Disseminação de Informação/legislação & jurisprudência , Pandemias , Privacidade/legislação & jurisprudência , SARS-CoV-2/fisiologia , Mídias Sociais/legislação & jurisprudência , COVID-19/virologia , União Europeia , Humanos , Pesquisa/legislação & jurisprudência , Estados UnidosRESUMO
The proliferation of bioinformatics activities brings new challenges - how to understand and organise these resources, how to exchange and reuse successful experimental procedures, and to provide interoperability among data and tools. This paper describes an effort toward these directions. It is based on combining research on ontology management, AI and scientific workflows to design, reuse and annotate bioinformatics experiments. The resulting framework supports automatic or interactive composition of tasks based on AI planning techniques and takes advantage of ontologies to support the specification and annotation of bioinformatics workflows. We validate our proposal with a prototype running on real data.