FAPESP – São Paulo Research Foundation
Modeling data through different science experiments using scientific workflow and ontologies. (grant #2014/23861-4)
Person in charge:
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.
- 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]