Detalhes bibliográficos
Ano de defesa: |
2013 |
Autor(a) principal: |
Ferrasi, Emerson Carlos Sarti [UNESP] |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Estadual Paulista (Unesp)
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
|
Link de acesso: |
http://hdl.handle.net/11449/108512
|
Resumo: |
The biotechnological advances have contributed to the excellence in the quality of scientific research, as well as the exponential growth of data generated. The analysis and interpretation of data in scientific research is an essential activity when it seeks to generate biological knowledge of excellence. Information technology has emerged as an essential tool in data management and administrative processes. Public agencies funding have stimulated collaboration between research groups located in different institutions, often far apart geographically, enabled the creation of virtual research groups, where the exchange of information and discussion of results is done as efficiently as would be gathered in groups spot. It is common in scientific research, conducting various laboratory tests on a single sample, outlining projects with different approaches. However, by repeatedly such data, although they refer to the same sample, are not always analyzed together. This situation represents a loss of valuable biological information in the construction of scientific knowledge. In this context, it is important to develop computational tools for the storage and management of data generated in order to optimize the analysis of the results obtained over various scientific researches, but conducted in the same sample. This study aimed to develop a software for managing samples generated from research projects in the area of Health Sciences Development System had as its starting point the analysis of the data requirements necessary for development of a database, as well as the procedures for access to information. The researchers involved in scientific projects were consulted on the information model to manage. The system developed in this study can be considered an innovative tool in the area of Health Research as it is a software that evolves according to the needs of new research groups and obviate the need for intervention by IT professionals ... |