FAPESP – São Paulo Research Foundation
Modeling data through different science experiments using scientific workflow and ontologies. (grant #2014/23861-4)
A new approach to track and analyze the evolution of scientific experiments. (grant #2017/03570-3)
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.; Essawy, Bakinam T.; Garijo, Daniel; Medeiros, Claudia Bauzer; Gil, Yolanda.
Requirements for Supporting the Iterative Exploration of Scientific Workflow Variants.
2017 Workshop on Capturing Scientific Knowledge (SciKnow), held in conjunction with the ACM International Conference on Knowledge Capture (K-CAP), 2017.
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.; Medeiros, Claudia Bauzer.
Provenance-Based Infrastructure to Support Reuse of Computational Experiments.
Proceedings of the Satellite Events of the 31st Brazilian Symposium on Databases (Thesis and Dissertations Workshop),
Sociedade Brasileira de Computação Salvador, Bahia, Brazil, October 4-7, 2016, ISBN: 978-85-7669-343-7.
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]
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]