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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
09/06/2017 |
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Data da última atualização: |
20/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CRUZ, S. M. S. da; NASCIMENTO, J. A. P. do. |
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Afiliação: |
SERGIO MANUEL SERRA DA CRUZ, UFRRJ; JOSE ANTONIO PIRES DO NASCIMENTO, CNPAB. |
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Título: |
Enriching agronomic experiments with data provenance. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
International Journal of Agricultural and Environmental Information Systems , v. 8, n. 3, p. 18, 2017. |
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ISSN: |
1947-3192 |
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DOI: |
10.4018/IJAEIS.2017070102 |
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Idioma: |
Inglês |
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Conteúdo: |
Reproducibility is a major feature of Science. Even agronomic research of exemplary quality may have irreproducible empirical findings because of random or systematic error. The ability to reproduce agronomic experiments based on statistical data and legacy scripts are not easily achieved. We propose RFlow, a tool that aid researchers to manage, share, and enact the scientific experiments that encapsulate legacy R scripts. RFlow transparently captures provenance of scripts and endows experiments reproducibility. Unlike existing computational approaches, RFlow is non-intrusive, does not require users to change their working way, it wraps agronomic experiments in a scientific workflow system. Our computational experiments show that the tool can collect different types of provenance metadata of real experiments and enrich agronomic data with provenance metadata. This study shows the potential of RFlow to serve as the primary integration platform for legacy R scripts, with implications for other data- and compute-intensive agronomic projects. |
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Palavras-Chave: |
Scientific workflow system. |
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Thesaurus Nal: |
reproducibility. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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022 $a1947-3192
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100 1 $aCRUZ, S. M. S. da
245 $aEnriching agronomic experiments with data provenance.$h[electronic resource]
260 $c2017
520 $aReproducibility is a major feature of Science. Even agronomic research of exemplary quality may have irreproducible empirical findings because of random or systematic error. The ability to reproduce agronomic experiments based on statistical data and legacy scripts are not easily achieved. We propose RFlow, a tool that aid researchers to manage, share, and enact the scientific experiments that encapsulate legacy R scripts. RFlow transparently captures provenance of scripts and endows experiments reproducibility. Unlike existing computational approaches, RFlow is non-intrusive, does not require users to change their working way, it wraps agronomic experiments in a scientific workflow system. Our computational experiments show that the tool can collect different types of provenance metadata of real experiments and enrich agronomic data with provenance metadata. This study shows the potential of RFlow to serve as the primary integration platform for legacy R scripts, with implications for other data- and compute-intensive agronomic projects.
650 $areproducibility
653 $aScientific workflow system
700 1 $aNASCIMENTO, J. A. P. do
773 $tInternational Journal of Agricultural and Environmental Information Systems$gv. 8, n. 3, p. 18, 2017.
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Registro original: |
Embrapa Agrobiologia (CNPAB) |
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| 1. |  | SOUZA, J. P.; IOPI, E.; COUSSEAU, G. C.; DEBORTOLI, L. H.; GAVA, D.; MORI, A. P.; REIS, M.; SILVEIRA, S. Genótipos e diversidade de circovírus suíno tipo 2 (PCV-2) associados à doença clínica em suínos entre 2017-2022 no Brasil. In: SIMPÓSIO INTERNACIONAL DE SUINOCULTURA, 14., 2023, Porto Alegre. Anais... Porto Alegre: UFRGS, 2023. SINSUI. p. 92-93.| Tipo: Artigo em Anais de Congresso |
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