Publicação:
A model for analysing data portal performance: The biodiversity case

dc.contributor.authorCorrêa, Pedro Luiz Pizzigatti
dc.contributor.authorSalvanha, Pablo
dc.contributor.authorSaraiva, Antonio Mauro
dc.contributor.authorScarpelini Neto, Paulo [UNESP]
dc.contributor.authorValêncio, Carlos Roberto [UNESP]
dc.contributor.authorSouza, Rogéria Cristiane Gratão de [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:29:55Z
dc.date.available2014-05-27T11:29:55Z
dc.date.issued2013-07-10
dc.description.abstractCurrently, many museums, botanic gardens and herbariums keep data of biological collections and using computational tools researchers digitalize and provide access to their data using data portals. The replication of databases in portals can be accomplished through the use of protocols and data schema. However, the implementation of this solution demands a large amount of time, concerning both the transfer of fragments of data and processing data within the portal. With the growth of data digitalization in institutions, this scenario tends to be increasingly exacerbated, making it hard to maintain the records updated on the portals. As an original contribution, this research proposes analysing the data replication process to evaluate the performance of portals. The Inter-American Biodiversity Information Network (IABIN) biodiversity data portal of pollinators was used as a study case, which supports both situations: conventional data replication of records of specimen occurrences and interactions between them. With the results of this research, it is possible to simulate a situation before its implementation, thus predicting the performance of replication operations. Additionally, these results may contribute to future improvements to this process, in order to decrease the time required to make the data available in portals. © Rinton Press.en
dc.description.affiliationUniversity of São Paulo, São Paulo
dc.description.affiliationSão Paulo State University, São José do Rio Preto
dc.description.affiliationUnespSão Paulo State University, São José do Rio Preto
dc.format.extent232-248
dc.identifierhttp://dl.acm.org/citation.cfm?id=2535633
dc.identifier.citationJournal of Web Engineering, v. 12, n. 3-4, p. 232-248, 2013.
dc.identifier.issn1540-9589
dc.identifier.lattes4644812253875832
dc.identifier.orcid0000-0002-9325-3159
dc.identifier.scopus2-s2.0-84879776440
dc.identifier.urihttp://hdl.handle.net/11449/75939
dc.identifier.wosWOS:000324004100004
dc.language.isoeng
dc.relation.ispartofJournal of Web Engineering
dc.relation.ispartofjcr0.311
dc.relation.ispartofsjr0,157
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectData portal performance
dc.subjectData replication processes
dc.subjectDistributed database systems
dc.subjectBiodiversity datum
dc.subjectBiological collections
dc.subjectComputational tools
dc.subjectData portal
dc.subjectData replication
dc.subjectFuture improvements
dc.subjectInformation networks
dc.subjectLarge amounts
dc.subjectBiodiversity
dc.subjectDatabase systems
dc.subjectInformation services
dc.subjectResearch
dc.subjectData handling
dc.titleA model for analysing data portal performance: The biodiversity caseen
dc.typeArtigo
dcterms.licensehttp://www.acm.org/publications/copyright-statement
dspace.entity.typePublication
unesp.author.lattes4644812253875832[5]
unesp.author.orcid0000-0002-8743-4244[1]
unesp.author.orcid0000-0003-2283-1123[3]
unesp.author.orcid0000-0002-9325-3159[5]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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