A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
Performance Modeling of Distributed and Replicated Databases
IEEE Transactions on Knowledge and Data Engineering
Information technology challenges of biodiversity and ecosystems informatics
Information Systems - Special issue: Data management in bioinformatics
Schema driven assignment and implementation of life science identifiers (LSIDs)
Journal of Biomedical Informatics
Measuring biodiversity performance: A conditional efficiency measurement approach
Environmental Modelling & Software
Review: An overview of biodiversity informatics with special reference to plant genetic resources
Computers and Electronics in Agriculture
Using web quality models and a strategy for purpose-oriented evaluations
Journal of Web Engineering
Database system performance evaluation models: A survey
Performance Evaluation
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Currently, 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.