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Abstract: In the process of scientific research, many information objects aregenerated, all of which may remain valuable indefinitely. However, artifactssuch as instrument data and associated calibration information may have littlevalue in isolation; their meaning is derived from their relationships to eachother. Individual artifacts are best represented as components of a life cyclethat is specific to a scientific research domain or project. Current catalogingpractices do not describe objects at a sufficient level of granularity nor dothey offer the globally persistent identifiers necessary to discover and managescholarly products with World Wide Web standards. The Open ArchivesInitiative-s Object Reuse and Exchange data model OAI-ORE meets theserequirements. We demonstrate a conceptual implementation of OAI-ORE torepresent the scientific life cycles of embedded networked sensor applicationsin seismology and environmental sciences. By establishing relationships betweenpublications, data, and contextual research information, we illustrate how toobtain a richer and more realistic view of scientific practices. That view canfacilitate new forms of scientific research and learning. Our analysis isframed by studies of scientific practices in a large, multi-disciplinary,multi-university science and engineering research center, the Center forEmbedded Networked Sensing CENS.



Autor: Alberto Pepe, Matthew Mayernik, Christine L. Borgman, Herbert Van de Sompel

Fuente: https://arxiv.org/



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