Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories
- Autores
- de Albuquerque, Pablo César; Villarreal, Gonzalo Luján; De Giusti, Marisa Raquel
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- A Data Warehouse (DW) is a tool that integrates and unifies information from multiple data sources available in an organization, and is used to assist decision making. In academic institutions, a Data Warehouse oriented to scientific and academic intellectual production could provide valuable information to understand, optimize and promote the processes involved in intellectual production, such as what type of resources are produced, in what areas research is conducted, who conducts this research, when the different resources are generated, what mechanisms are used to produce or disseminate the resources, and how they are used both internally and externally. Although there are many systems within academic institutions, this paper proposes to use the data sources that make up the institutional repositories to start developing a DW, due to the volume of information that can be handled, the reliability of the hosted data, the interoperability tools available and the services and infrastructure in the area.
- Materia
-
Ciencias de la Computación e Información
Data Warehouse
Repositorios institucionales
Business Intelligence - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
.jpg)
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10985
Ver los metadatos del registro completo
| id |
CICBA_3eb5f23ffc45ab33db2675b93c759045 |
|---|---|
| oai_identifier_str |
oai:digital.cic.gba.gob.ar:11746/10985 |
| network_acronym_str |
CICBA |
| repository_id_str |
9441 |
| network_name_str |
CIC Digital (CICBA) |
| spelling |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositoriesde Albuquerque, Pablo CésarVillarreal, Gonzalo LujánDe Giusti, Marisa RaquelCiencias de la Computación e InformaciónData WarehouseRepositorios institucionalesBusiness IntelligenceA Data Warehouse (DW) is a tool that integrates and unifies information from multiple data sources available in an organization, and is used to assist decision making. In academic institutions, a Data Warehouse oriented to scientific and academic intellectual production could provide valuable information to understand, optimize and promote the processes involved in intellectual production, such as what type of resources are produced, in what areas research is conducted, who conducts this research, when the different resources are generated, what mechanisms are used to produce or disseminate the resources, and how they are used both internally and externally. Although there are many systems within academic institutions, this paper proposes to use the data sources that make up the institutional repositories to start developing a DW, due to the volume of information that can be handled, the reliability of the hosted data, the interoperability tools available and the services and infrastructure in the area.2021-07-24info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/octet-streamapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10985enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:23Zoai:digital.cic.gba.gob.ar:11746/10985Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:23.953CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
| dc.title.none.fl_str_mv |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories |
| title |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories |
| spellingShingle |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories de Albuquerque, Pablo César Ciencias de la Computación e Información Data Warehouse Repositorios institucionales Business Intelligence |
| title_short |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories |
| title_full |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories |
| title_fullStr |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories |
| title_full_unstemmed |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories |
| title_sort |
Proposal of a Data Warehouse for Scholarly Institutions built on Institutional Repositories |
| dc.creator.none.fl_str_mv |
de Albuquerque, Pablo César Villarreal, Gonzalo Luján De Giusti, Marisa Raquel |
| author |
de Albuquerque, Pablo César |
| author_facet |
de Albuquerque, Pablo César Villarreal, Gonzalo Luján De Giusti, Marisa Raquel |
| author_role |
author |
| author2 |
Villarreal, Gonzalo Luján De Giusti, Marisa Raquel |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias de la Computación e Información Data Warehouse Repositorios institucionales Business Intelligence |
| topic |
Ciencias de la Computación e Información Data Warehouse Repositorios institucionales Business Intelligence |
| dc.description.none.fl_txt_mv |
A Data Warehouse (DW) is a tool that integrates and unifies information from multiple data sources available in an organization, and is used to assist decision making. In academic institutions, a Data Warehouse oriented to scientific and academic intellectual production could provide valuable information to understand, optimize and promote the processes involved in intellectual production, such as what type of resources are produced, in what areas research is conducted, who conducts this research, when the different resources are generated, what mechanisms are used to produce or disseminate the resources, and how they are used both internally and externally. Although there are many systems within academic institutions, this paper proposes to use the data sources that make up the institutional repositories to start developing a DW, due to the volume of information that can be handled, the reliability of the hosted data, the interoperability tools available and the services and infrastructure in the area. |
| description |
A Data Warehouse (DW) is a tool that integrates and unifies information from multiple data sources available in an organization, and is used to assist decision making. In academic institutions, a Data Warehouse oriented to scientific and academic intellectual production could provide valuable information to understand, optimize and promote the processes involved in intellectual production, such as what type of resources are produced, in what areas research is conducted, who conducts this research, when the different resources are generated, what mechanisms are used to produce or disseminate the resources, and how they are used both internally and externally. Although there are many systems within academic institutions, this paper proposes to use the data sources that make up the institutional repositories to start developing a DW, due to the volume of information that can be handled, the reliability of the hosted data, the interoperability tools available and the services and infrastructure in the area. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-07-24 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
| format |
conferenceObject |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/10985 |
| url |
https://digital.cic.gba.gob.ar/handle/11746/10985 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
| dc.format.none.fl_str_mv |
application/octet-stream application/pdf |
| dc.source.none.fl_str_mv |
reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
| reponame_str |
CIC Digital (CICBA) |
| collection |
CIC Digital (CICBA) |
| instname_str |
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
| instacron_str |
CICBA |
| institution |
CICBA |
| repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
| repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
| _version_ |
1844618621578379264 |
| score |
13.069144 |