1. Introdução¶

1.1. Contexto¶

Sharing scientific data through publication is the dominant building stone of the discovery process
and the dominant means by which scientists can earn credits for their discoveries. Recently,
science has changed and is migrating slowly but inevitably to e-science. New technologies

generate very large data sets that can no longer be adequately represented in an article.

Interdisciplinary collaborations and research communities are being formed addressing sharing
data and resources. Along with these changes, the terms ‘digital curation’, ‘digital data
management’ and ‘data repository’ are finding their place in daily use. More and more often these
days, research success is measured not only by the publications produced but also by the data it
generates (Nature, 2009). More and more funding agencies now require proof of good data
management practices along with the grant proposals. These data must be made available to the
large scientific community.

A partilha de dados científicos através de publicações é um alicerce ao processo de novas descobertas e, é também, uma forma dos cientistas serem reconhecidos pelo seu contributo [1]. As novas tecnologias têm proporcionado uma geração enorme de dados de investigação. Ao longo dos últimos anos, estes dados têm vindo a ser disponibilizados em repositórios digitais que permitem a pesquisa e acesso aos mesmos de forma eficiente [2]. Inevitavelmente a ciência teve que assentar cada vez mais numa base tecnológica (e-science) para tornar possível o armazenamento e fácil pesquisa nesta enorme quantidade de dados [1].

1.2. Motivação¶

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1.3. Objectivos¶

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Voltar

Citações
1. BUILDING A ‘DATA REPOSITORY’ FOR HETEROGENEOUS TECHNICAL RESEARCH COMMUNITIES THROUGH COLLABORATIONS
2. Learning Object Repositories for Science Education: The Case of the OpenScienceResources Repository