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  • The imperative for reproducibility in building performance . . .
    Abstract Building Performance Simulation (BPS) uses advanced computational and data science methods Reproducibility, the ability to obtain the same results by using the same data and methods, is essential in BPS research to ensure the reliability and validity of scientific results The benefits of reproducible research include enhanced scientific integrity, faster scientific advancements, and
  • Building Reproducible Analytical Pipelines - rap4mads. eu
    This course is based on my book titled Building Reproducible Analytical Pipelines with R This course focuses only on certain aspects that are discussed in greater detail in the book
  • Improving Reproducibility and Replicability in Research
    This congressionally requested report assesses reproducibility and replicability in science and provides findings and recommendations for improving rigor and transparency in research
  • Building Robust R Workflows: Renv for Version Control and . . .
    The R package renv addresses this challenge by providing robust tools for version control and reproducibility within R workflows Through the use of isolated, reproducible project environments, renv enables analysts to control and precisely replicate software dependencies It captures a detailed snapshot of the R environment in a single renv lock file, facilitating reproducibility and reducing
  • Common Guidelines for Education Research and Development
    Investigators are encouraged to submit proposals to conduct reproducibility and replication studies in response to relevant solicitations, announcements, and requests for applications from IES and NSF Building on the original (2013) Common Guidelines, the following overarching principles for reproducibility and replication research are offered
  • Building a Vision for Reproducibility in the . . .
    Building a Vision for Reproducibility in the Cyberinfrastructure Ecosystem: Leveraging Community E orts Dylan Chapp1, Victoria Stodden2, Michela Taufer1 c The Authors 2020
  • Building transparency and reproducibility into the practice . . .
    Code-sharing While a well-documented protocol is central to the transparency and reproducibility of a study, computational reproducibility gen-erally further requires the sharing of data with analytical code and other supporting materials such as a “readme” file, data dictionary, and protocol





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