dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:29:55Z
dc.date.accessioned2022-10-05T18:54:42Z
dc.date.available2014-05-27T11:29:55Z
dc.date.available2022-10-05T18:54:42Z
dc.date.created2014-05-27T11:29:55Z
dc.date.issued2013-07-10
dc.identifierJournal of Web Engineering, v. 12, n. 3-4, p. 232-248, 2013.
dc.identifier1540-9589
dc.identifierhttp://hdl.handle.net/11449/75939
dc.identifierWOS:000324004100004
dc.identifier2-s2.0-84879776440
dc.identifier4644812253875832
dc.identifier0000-0002-9325-3159
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3924853
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.
dc.languageeng
dc.relationJournal of Web Engineering
dc.relation0.311
dc.relation0,157
dc.rightsAcesso 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 case
dc.typeArtigo


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