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.
Figure: Methodology for Conversion of Scripts into Reproducible Workflow Research Objects
Carvalho, Lucas A. M. C.; Malaverri, Joana E. Gonzales; Medeiros, Claudia Bauzer.
Implementing W2Share: Supporting Reproducibility and Quality Assessment in eScience.
In Proceedings of the 11th BreSci - Brazilian e-Science Workshop, Sociedade Brasileira de Computação (SBC), July 5-6, 2017, São Paulo, Brazil, 2017.
Carvalho, Lucas A. M. C.; Belhajjame, Khalid; Medeiros, Claudia Bauzer.
Converting Scripts into Reproducible Workflow Research Objects.
In Proceedings of 2016 IEEE 12th International Conference on eScience - eScience 2016, IEEE, October 23-27, 2016, Baltimore, Maryland, U.S.A., 2016.
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, June 6-9, 2016, McLean, Virginia, U.S.A.), LNCS 9672. Springer International Publishing, 2016, ISBN: 978-3319405926.
We thank the following open source projects that made possible the development of our prototype: