Abstract
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Two important characteristics of science are the ?reproducibility? and ?clarity?. By rigorous practices, scientists explore aspects of the world that they can reproduce under carefully controlled experimental conditions. The clarity, complementing reproducibility, provides unambiguous descriptions of results in a mechanical or mathematical form. Both pillars depend on well-structured and accurate descriptions of scientific practices, which are normally recorded in experimental protocols, scientific workflows, etc. Here we present SMART Protocols (SP), our ontology-based approach for representing experimental protocols and our contribution to clarity and reproducibility. SP delivers an unambiguous description of processes by means of which data is produced; by doing so, we argue, it facilitates reproducibility. Moreover, SP is thought to be part of e-science infrastructures. SP results from the analysis of 175 protocols; from this dataset, we extracted common elements. From our analysis, we identified document, workflow and domain-specific aspects in the representation of experimental protocols. The ontology is available at http://purl.org/net/SMARTprotocol | |
International
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Si |
Congress
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4th Workshop on Linked Science 2014? Making Sense Out of Data (LISC2014) |
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960 |
Place
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Riva del Garda, Trentino, Italia |
Reviewers
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Si |
ISBN/ISSN
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1613-0073 |
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Start Date
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19/10/2014 |
End Date
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19/10/2014 |
From page
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36 |
To page
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47 |
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CEUR Workshop Proceedings, Vol 1282- Proceedings of the 4th Workshop on Linked Science 2014 - Making Sense Out of Data (LISC2014) co-located with the 13th International Semantic Web Conference (ISWC 2014) |