Abstract
The contemporary scientific community places a growing emphasis on the reproducibility of research. The projects R package is a free, open-source package created in the interest of facilitating reproducible research workflows. It adds to existing software tools for reproducible research and introduces several practical features that are helpful for scientists and their collaborative research teams. For each individual project, it supplies a framework for storing raw and cleaned study data sets, and it provides script templates for protocol creation, data cleaning, data analysis and manuscript development. Internal databases of project and author information are generated and displayed, and manuscript title pages containing author lists and their affiliations are automatically generated from the internal database. File management tools allow teams to organize multiple projects. When used on a shared file system, multiple researchers can harmoniously contribute to the same project in a less punctuated manner, reducing the frequency of misunderstandings and the need for status updates.
Highlights
The past few years have yielded much discussion and controversy in scientific circles surrounding reproducibility and replication of findings
We introduce the projects R package, a set of tools that supports an efficient project management workflow for statisticians and data scientists who perform reproducible research within team science environments
Under the reproducible research framework, other researchers with access to the original data and code scripts can scrutinize every component of the Facilitating reproducible project management and manuscript development with the ’projects’ R package analysis, beginning with data cleaning operations performed on their local version(s) of the frozen dataset
Summary
The past few years have yielded much discussion and controversy in scientific circles surrounding reproducibility and replication of findings. Facilitating reproducible project management and manuscript development with the ’projects’ R package We introduce the projects R package, a set of tools that supports an efficient project management workflow for statisticians and data scientists who perform reproducible research within team science environments.
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