Linked Open Science-Communicating, Sharing and Evaluating Data, Methods and Results for Executable Papers | Zendy

Tomi Kauppinen | Zendy; Giovana Mira de Espíndola | Zendy

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Linked Open Science-Communicating, Sharing and Evaluating Data, Methods and Results for Executable Papers

Author(s) -

Tomi Kauppinen,

Giovana Mira de Espíndola

Publication year - 2011

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2011.04.076

Subject(s) - computer science , executable , metadata , open science , cloud computing , dspace , world wide web , amazon rainforest , open source , deforestation (computer science) , open data , e science , open research , data science , data sharing , software , programming language , medicine , physics , alternative medicine , pathology , astronomy , ecology , geometry , mathematics , algorithm , biology , grid , operating system

Linked Open Science is an approach to solve challenges of an executable paper. It is a combination of four “silver bullets”: 1) publication of scientific data, metadata, results, and provenance information using Linked Data principles, 2) open source and web-based environments for executing, validating and exploring research, 3) Cloud Computing for effcient and distributed computing, and 4) Creative Commons for the legal infrastructure. We will use a realistic scientific research setting related to research on deforestation of the Brazilian Amazon rainforest to provide scenarios to illustrate the application of Linked Open Science

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