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Reproducible Research in Computational Science

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Brain and Cognitive Sciences

43 Vassar Street

Room 46-3310

Cambridge, MA 02139

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Reproducibility is the ability to get the same research results having the full computational environment, including the code and raw data, used to produce the results. Unfortunately, providing the computational environment is not required during the publication process and many scientific findings are very hard or impossible to reproduce. Sharing the computational environment is not a standard procedure also because it requires tools and skills that are not part of the standard scientific curriculum.

These workshops introduce two basic components needed to conduct reproducible computational science, version control systems and reusable computational environments.

The first workshop (January 10, 2018) will cover creating and using reusable computational environments. We will introduce the concept of containers and use Docker and Singularity as examples. Singularity/Docker not only offers the ability to efficiently and ubiquitously deploy environments on linux systems but also gives future researchers access to the exact environment used in the publication.

The second workshop (January 24, 2018) will cover Git, which is a free and open source version control system widely used for software development, and a Web-based Git repository Hosting System - GitHub. We will also talk about git-annex and DataLad that solve the problem of sharing and synchronizing collections of large data files.

Please bring a laptop to both sessions.

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Location

Brain and Cognitive Sciences

43 Vassar Street

Room 46-3310

Cambridge, MA 02139

View Map

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