What is Reproducible Research?

  • Reproducibility usually means obtaining the same results with the same data.
  • Across different disciplines and methodologies, the understanding of what reproducibility means can be very different.
  • Reproducible research is not the same as open research - it is important to share research outputs to be able to reproduce others’ studies, but research can be made fully reproducible even if it cannot be made fully open.
  • Recent studies point to many issues with reproducibility across different disciplines, something that has been termed “reproducibility crisis”

Benefits and Challenges of Reproducibility

  • Making research more reproducible contributes to general research improvement, quality and rigor but also to higher efficiency and easier error correction for researchers
  • This does not come without specific challenges, such as time constraints, technical issues and the need of specific skills for making research outputs reproducible
  • To overcome the challenges, researchers are in need of proper tools, solutions, research support staff, infrastructure and training

Tools for Reproducible Research Workflows

  • Research workflows are sequences of processes that researchers have to go through to get to specific research outputs
  • Data acquisition, data analysis and manuscript writing are three phases of the research process that can be made more reproducible
  • There are many tools out there that can help make research workflows more reproducible

The Role of Libraries in Supporting Reproducibility

  • Academic libraries are uniquely positioned to provide help and support in the area of open and reproducible research
  • Academic librarians can build on their expertise in making research outputs shareable and reusable to also help make them reproducible
  • Academic libraries can offer training in reproducible research workflows in addition to open science trainings