ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata.

Sahoo, Satya S; Valdez, Joshua; Kim, Matthew; Rueschman, Michael; Redline, Susan

Sahoo, Satya S; Valdez, Joshua; Kim, Matthew; Rueschman, Michael; Redline, Susan.

Afiliación

Sahoo SS; Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. Electronic address: satya.sahoo@case.edu.
Valdez J; Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Kim M; Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Rueschman M; Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Redline S; Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Int J Med Inform ; 121: 10-18, 2019 01.

Article en En | MEDLINE | ID: mdl-30545485

Asunto(s)

Algoritmos; Ontologías Biológicas; Investigación Biomédica/normas; Metadatos/normas; Semántica; Humanos; Reproducibilidad de los Resultados

Palabras clave

ProvCaRe knowledge repository; ProvCaRe ontology; Provenance metadata; Provenance-based ranking; S3 model; Scientific reproducibility; W3C PROV specifications

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Semántica / Algoritmos / Investigación Biomédica / Ontologías Biológicas / Metadatos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article Pais de publicación: Irlanda

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google