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Semantic-enable Model-Experiment-Evaluation Process (SeMEEP): Natural EnvironmentProgress in a wide range of scientific disciplines depends upon complementary (collaborative) experimental and theoretical advances. A major obstacle to the systematic advancement of scientific communities is an inability to discover and manage the vast amount of experimental data being generated worldwide. The evaluation process is time-consuming and involves international travel. The scientific community has to resolve inconsistencies between theoretical models and experimental results before a consensus is reached on a community resource that can be used by other scientists. The Semantically enhanced Model-Experiment Evaluation Process (SeMEEP) project proposes an enhanced process to transform the ways in which such communities undertake the experiment/modelling collaboration within the natural environment. This requires a move from current ad hoc practices to a more transparent process of gathering, evaluating and sharing data between scientists by supporting its organisation and provenance. A key constraint is that changes to working practices should be minimised through automating the collection of semantic metadata wherever feasible. The project investigates the hypothesis that this will radically enhance the effectiveness of a research community to deliver new science. Primarily, our focus will be on the atmospheric chemical kinetics community, centred on their repository of evaluated data.
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