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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: |
30/05/2019 |
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Data da última atualização: |
19/11/2019 |
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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: |
Sérgio Manuel Serra da Cruz; JOSE ANTONIO PIRES DO NASCIMENTO, CNPAB. |
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Título: |
Towards integration of data-driven agronomic experiments with data provenance. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Computers and Electronics in Agriculture, v. 161, p. 14-28, 2019. |
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DOI: |
https://doi.org/10.1016/j.compag.2019.01.044 |
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Idioma: |
Inglês |
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Conteúdo: |
With improvements in computing and communications, the amount of scientific data in agriculture has been exploding. Thus, researchers must rely on computational simulations to model the data-driven in silico agronomic experiments, the in silico experiments are those that are completely executed by using computer models. Reproducibility, transparency, independent verification are major features of Science. However, even agricultural research of exemplary quality may have irreproducible empirical findings because of random or systematic error. Funding agencies, researchers, and reviewers are demanding improved processes and the use of open data to increase reproducibility of those experiments. Currently, there are no scientific criteria to evaluate the integration of data-driven agronomic experiments with data provenance. We propose RFlow, a framework that aid researchers to manage, share, and enact the scientific in silico experiments of research projects that use reusable R scripts. The framework uses open data standards and transparently captures provenance of the agronomic experiments. RFlow is non-intrusive, can be connected to workflow systems and does not require researchers to change their working way. Our computational experiments show that the framework can collect provenance metadata and enrich a scientific project. This study shows how RFlow can serve as the primary integration platform for statistical systems, like R, with implications for other data and compute-intensive agronomic projects. As a proof of concept, we show the concrete effectiveness and expressive power of the RFlow which was evaluated through a set of data-driven agronomic in silico experiments and provenance SQL queries that exemplifies what kind of information was gathered. MenosWith improvements in computing and communications, the amount of scientific data in agriculture has been exploding. Thus, researchers must rely on computational simulations to model the data-driven in silico agronomic experiments, the in silico experiments are those that are completely executed by using computer models. Reproducibility, transparency, independent verification are major features of Science. However, even agricultural research of exemplary quality may have irreproducible empirical findings because of random or systematic error. Funding agencies, researchers, and reviewers are demanding improved processes and the use of open data to increase reproducibility of those experiments. Currently, there are no scientific criteria to evaluate the integration of data-driven agronomic experiments with data provenance. We propose RFlow, a framework that aid researchers to manage, share, and enact the scientific in silico experiments of research projects that use reusable R scripts. The framework uses open data standards and transparently captures provenance of the agronomic experiments. RFlow is non-intrusive, can be connected to workflow systems and does not require researchers to change their working way. Our computational experiments show that the framework can collect provenance metadata and enrich a scientific project. This study shows how RFlow can serve as the primary integration platform for statistical systems, like R, with implications for other data and compute-i... Mostrar Tudo |
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Palavras-Chave: |
Reproducible research; Scientific workflows. |
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Thesaurus Nal: |
Agriculture; Data analysis; Provenance. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02443naa a2200205 a 4500
001 2109458
005 2019-11-19
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.compag.2019.01.044$2DOI
100 1 $aCRUZ, S. M. S. da
245 $aTowards integration of data-driven agronomic experiments with data provenance.$h[electronic resource]
260 $c2019
520 $aWith improvements in computing and communications, the amount of scientific data in agriculture has been exploding. Thus, researchers must rely on computational simulations to model the data-driven in silico agronomic experiments, the in silico experiments are those that are completely executed by using computer models. Reproducibility, transparency, independent verification are major features of Science. However, even agricultural research of exemplary quality may have irreproducible empirical findings because of random or systematic error. Funding agencies, researchers, and reviewers are demanding improved processes and the use of open data to increase reproducibility of those experiments. Currently, there are no scientific criteria to evaluate the integration of data-driven agronomic experiments with data provenance. We propose RFlow, a framework that aid researchers to manage, share, and enact the scientific in silico experiments of research projects that use reusable R scripts. The framework uses open data standards and transparently captures provenance of the agronomic experiments. RFlow is non-intrusive, can be connected to workflow systems and does not require researchers to change their working way. Our computational experiments show that the framework can collect provenance metadata and enrich a scientific project. This study shows how RFlow can serve as the primary integration platform for statistical systems, like R, with implications for other data and compute-intensive agronomic projects. As a proof of concept, we show the concrete effectiveness and expressive power of the RFlow which was evaluated through a set of data-driven agronomic in silico experiments and provenance SQL queries that exemplifies what kind of information was gathered.
650 $aAgriculture
650 $aData analysis
650 $aProvenance
653 $aReproducible research
653 $aScientific workflows
700 1 $aNASCIMENTO, J. A. P. do
773 $tComputers and Electronics in Agriculture$gv. 161, p. 14-28, 2019.
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Registro original: |
Embrapa Agrobiologia (CNPAB) |
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Biblioteca |
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Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
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URL |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Caprinos e Ovinos. Para informações adicionais entre em contato com cnpc.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
28/08/1996 |
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Data da última atualização: |
06/09/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANTA ROSA, J.; BERNE, M. E. A.; JOHNSON, E. H.; OLANDER, H. J. |
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Afiliação: |
JANETE SANTA ROSA, CNPC. |
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Título: |
Doenças de caprinos diagnosticadas em Sobral, Ceará. |
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Ano de publicação: |
1986 |
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Fonte/Imprenta: |
In: REUNIÃO TÉCNICO-CIENTÍFICA DO PROGRAMA DE APOIO A PESQUISA COLABORATIVA DE PEQUENOS RUMINANTES, 1., 1986, Sobral. Anais... Sobral: EMBRAPA-CNPC/SR-CRSP, 1986. p. 77-89. (EMBRAPA-CNPC. Documentos, 6). |
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Idioma: |
Português |
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Conteúdo: |
Foram realizadas 726 necropsias em caprinos de diferentes racas e tipos (Anglo Nubiana, Bhuj, Caninde, Marota, Moxoto, Repartida, Pardo Alema e do tipo Sem Raca Definida), de diferentes idades e de ambos os sexos. Os estudos macro e microcoscopicos revelaram que as doencas de maior ocorrencia foram: parasitose gastrintestinal (24,93%), broncopneumonia (22, 87%) e subnutricao (19,15%). Outras doencas ocorreram em menor frequencia, sendo que a criptococose no sistema nervoso, o melanoma e aneurisma da arteria aorta estao sendo relatadas pela primeira vez em caprinos, no Brasil. |
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Palavras-Chave: |
Brasil; Broncopneumonia; Nordeste; Northeast; Subnutricao. |
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Thesagro: |
Caprino; Doença; Helminto Gastrintestinal; Parasitose. |
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Thesaurus NAL: |
Brazil; Bronchopneumonia; Gastrointestinal nematodes; Goat diseases; Goats; Malnutrition; Parasitism. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 01626nam a2200337 a 4500
001 1514542
005 2021-09-06
008 1986 bl uuuu u00u1 u #d
100 1 $aSANTA ROSA, J.
245 $aDoenças de caprinos diagnosticadas em Sobral, Ceará.$h[electronic resource]
260 $aIn: REUNIÃO TÉCNICO-CIENTÍFICA DO PROGRAMA DE APOIO A PESQUISA COLABORATIVA DE PEQUENOS RUMINANTES, 1., 1986, Sobral. Anais... Sobral: EMBRAPA-CNPC/SR-CRSP, 1986. p. 77-89. (EMBRAPA-CNPC. Documentos, 6).$c1986
520 $aForam realizadas 726 necropsias em caprinos de diferentes racas e tipos (Anglo Nubiana, Bhuj, Caninde, Marota, Moxoto, Repartida, Pardo Alema e do tipo Sem Raca Definida), de diferentes idades e de ambos os sexos. Os estudos macro e microcoscopicos revelaram que as doencas de maior ocorrencia foram: parasitose gastrintestinal (24,93%), broncopneumonia (22, 87%) e subnutricao (19,15%). Outras doencas ocorreram em menor frequencia, sendo que a criptococose no sistema nervoso, o melanoma e aneurisma da arteria aorta estao sendo relatadas pela primeira vez em caprinos, no Brasil.
650 $aBrazil
650 $aBronchopneumonia
650 $aGastrointestinal nematodes
650 $aGoat diseases
650 $aGoats
650 $aMalnutrition
650 $aParasitism
650 $aCaprino
650 $aDoença
650 $aHelminto Gastrintestinal
650 $aParasitose
653 $aBrasil
653 $aBroncopneumonia
653 $aNordeste
653 $aNortheast
653 $aSubnutricao
700 1 $aBERNE, M. E. A.
700 1 $aJOHNSON, E. H.
700 1 $aOLANDER, H. J.
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