Funding Institutions:

FAPESP – São Paulo Research Foundation

Modeling data through different science experiments using scientific workflow and ontologies. (grant #2014/23861-4)

People involved:

Lucas Augusto Montalvão Costa Carvalho

Person in charge:

Claudia Bauzer Medeiros


Project Overview


The goal of this project is to develop a data infrastructure supporting sharing, reuse and reproducibility of data and models. The idea is to adopt the notion of scientific workflows as the basis to specify executable models, and create a common computational platform to design, annotate and reuse such workflows. This infrastructure will provide a common data infrastructure to all researchers in the Center for Computational Engineering & Sciences (CCES) (a.k.a. eScience Unicamp). The CCES scientists will test/apply the data and models used and/or produced by the Center in the infrastructure.

logo eScience Unicamp
Methodology for Conversion of Scripts into Reproducible Workflow Research Objects

Figure: Methodology for Conversion of Scripts into Reproducible Workflow Research Objects

Recent Publications


  • Carvalho, Lucas A. M. C.; Silveira, Rodrigo L.; Pereira, Caroline S.; Skaf, Munir S.; Medeiros, Claudia Bauzer.  Provenance-Based Retrieval: Fostering Reuse and Reproducibility Across Scientific Disciplines. Provenance and Annotation of Data and Processes (Proceedings of 6th International Provenance and Annotation Workshop – IPAW 2016), LNCS 9672. Springer International Publishing, McLean, Virginia, U.S.A., 2016, ISBN: 978-3319405926. [PDF]


  • Carvalho, Lucas A. M. C.; Belhajjame, Khalid; Medeiros, Claudia Bauzer.  Converting Scripts into Reproducible Workflow Research Objects. Proceedings of 2016 IEEE 12th International Conference on eScience – eScience 2016, IEEE, Baltimore, Maryland, U.S.A., 2016. [PDF]