Uma nova abordagem para consulta a dados de proveniência

Patricia Vieira Camara CostaVanessa Braganholo

One of the most important features of scientific experiments is the reproducibility. To achieve reproducibility, scientists have been automating their experiments using scientific workflows which allows provenance data to be automatically captured. Provenance describes the origin of a piece of data (program and parameters used to generate it, the user who ran the program, date and time, among others). However, there is no point in collecting this data is it cannot be queried satisfactorily. The problem is that to query this data is not always an easy task, since it requires scientists' to have expertise on specific query languages, which they usually do not have. This work proposes a method for assembling provenance queries aiming at reducing the effort of scientists.

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