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RPTD and AMAUTA:
Repositories that promotes more visibility of and easier
access to open access scientific information in Peru
Libio HuarotoBiblioteca Central, [email protected]
Lima, Perú
15th International Symposium on Electronic Theses and Dissertations
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15th International Symposium on Electronic Theses and Dissertations
Agenda
• Aspectos generales
• Características técnicas
• Estadísticas
• Conclusiones
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15th International Symposium on Electronic Theses and Dissertations
RPTD y AMAUTA
• Repositorios (services providers) que recolectan los metadatos de tesis, revistas, libros y otros tipos de contenidos de portales peruanos.
• ARC como plataforma tecnológicaOld Dominium Universitiy, primer servicio federado de búsqueda de información basado en el protocolo OAI-PMH (E-cienca, Recolecta)
• Gestionado por la UNMSM
• Actualización semanal (cada viernes)
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Características
• Software ARC Service Provider (Old Domion
University)
• OAI-PMH 2.0 (protocolo para recolección)
• Dublin Core (metadatos)
• MySQL Server
•Java serlets
•Windows 2003 (Sistema operativo)
• AWStats (estasdísticas)
•RSS
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15th International Symposium on Electronic Theses and Dissertations
Estadísticas del repositorio
Cantidad de registros
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15th International Symposium on Electronic Theses and Dissertations
Estadísticas del repositorio
Cantidad de registros
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Nro de visitas
Nro de visitas
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Nro de páginas
Nro de visitantes Nro de visitas
Estadísticas de RPTD
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PROCESOS DE RECOLECCION DE METADATOS EN RPTD Y AMAUTA
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Escribe los metadatos en la tabla MySQL (Cosechamiento)
Construye la tabla (MySQL) y los índices
java scheduler.Harvest
Proceso Harvest
Proceso Parser
Proceso de recolección de metadatos(RPTD y AMAUTA)
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Ejecutar el Parser
Ejecutar el Harvest
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15th International Symposium on Electronic Theses and Dissertations
DC, tabla donde se almacena
información recopilada
tabla se almacena la información
necesaria para el cosechamiento
tabla que almacena los
valores necesarios para
cosechar
Bases de datos con 22 tablas
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15th International Symposium on Electronic Theses and Dissertations
Analizando datos RPTD• 5608 registros (03/09/2012)• 3602 tiene resumen• 4412 Palabras clave• Diferentes tipo de identificador (Handle, otros)
AMAUTA• 18842 registros (03/09/2012)• 12476 tienes resumen• 12994 tienen palabras clave• Diferentes tipo de identificador (Handle, otros)
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15th International Symposium on Electronic Theses and Dissertations
Problemas comunes • Si los metadatos tienen un carácter extraño (no compatible con UTF-8), la
recolección de información no concluye exitosamente.(retirar registro para continuar).
• El identificador de los objetos digitales no son homogéneosUNMSM http://www.cybertesis.edu.pe/sisbib/2006/acevedo_fa/html/index-frames.html
UNI: http://cybertesis.uni.edu.pe/uni/2007/abad_dj/html/index-frames.html Ateneo http://hdl.handle.net/123456789/4290 PUCP http://tesis.pucp.edu.pe/repositorio/handle/123456789/1399
• El proceso de recolección no es completamente automzatizado • Complejidad en la modificación en el código fuente del ARC (ejemplo
implementar índices por Grado académico)
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15th International Symposium on Electronic Theses and Dissertations
POLÍTICAS Y DIRECTRICES
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Muchas gracias