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Towards supporting the life cycle of large scale scientific experiments

2010; Inderscience Publishers; Volume: 5; Issue: 1 Linguagem: Inglês

10.1504/ijbpim.2010.033176

1741-8771

Marta Mattoso, Cláudia Werner, Guilherme Horta Travassos, Vanessa Braganholo, Eduardo Ogasawara, Daniel de Oliveira, Sérgio Manuel Serra da Cruz, Wallace Martinho, Leonardo Murta,

Research Data Management Practices

One of the main challenges of scientific experiments is to allow scientists to manage and exchange their scientific computational resources (data, programs, models, etc.). The effective management of such experiments requires a specific set of cardinal facilities, such as experiment specification techniques, workflow derivation heuristics and provenance mechanisms. These facilities may characterise the experiment life cycle into three phases: composition, execution, and analysis. Works concerned with supporting scientific workflows are mainly concerned with the execution and analysis phase. Therefore, they fail to support the scientific experiment throughout its life cycle as a set of integrated experimentation technologies. In large scale experiments this represents a research challenge. We propose an approach for managing large scale experiments based on provenance gathering during all phases of the life cycle. We foresee that such approach may aid scientists to have more control on the trials of the scientific experiment.