SisGExp: Rethinking Long-Tail Agronomic Experiments
Reproducibility is a major feature of Science. Even agronomic research of exemplary quality may have irreproducible empirical findings because of random or systematic error. This work presents SisGExp, a provenance-based approach that aid researchers to manage, share, and enact the computational scientific workflows that encapsulate legacy R scripts. SisGExp transparently captures provenance of R scripts and endows experiments reproducibility. SisGExp is non-intrusive, does not require users to change their working way, it wrap agronomic experiments as a scientific workflow system.
KeywordsProvenance R scripts Workflows Precision agriculture
- 1.Driemeier, C.E., et al.: Data analysis workflow for experiments in sugarcane precision agriculture. In: IEEE 10th International Conference on e-Science, vol. 1, pp. 163–168 (2014). http://doi.org/10.1109/eScience.2014.10
- 2.Nascimento, J.A.P., Cruz, S.M.S.: Rflow: uma arquitetura para execução e coleta de proveniência de workflows estatísticos. X Simpósio Brasileiro de Informática na Agricultura, 12pp. (2015). (In Portuguese)Google Scholar