This lesson is still being designed and assembled (Pre-Alpha version)

Introduction to Data Curation for Reproducibility

The Data Curation for Reproducibility Curriculum aims to provide learners working in research data support roles with the practical knowledge and skills to properly execute data curation workflows that uphold the highest standard of data quality.

The goal of this introductory lesson is to give learners: 1) the foundational knowledge needed to understand and engage with research reproducibility; and 2) an overview of the strategies used by information professionals to manage, curate, and steward research data assets that serve as the evidence base for reported scientific findings. This lesson also prepares learners to perform data curation for reproducibility activities taught in follow-up lessons, Lesson 2: Curating for Reproducibility Workflows, Lesson 3: Reproducibility Assessment, and Lesson 4: Compendium Packaging and Publication.

To establish a shared understanding of what curating for reproducibility means and why the practice is critical to the scientific enterprise, this lesson covers quite a bit of ground. By committing the time necessary to learn these essential concepts and issues, learners will be better prepared to engage in activities for promoting and implementing data curation for reproducibility services.

The CuRe Curriculum was made possible in part by the Institute of Museum and Library Services under grants RE-87-17-0074-17 and RE-36-19-0081-19. The Institute of Museum and Library Services is the primary source of federal support for the nation’s libraries and museums. We advance, support, and empower America’s museums, libraries, and related organizations through grantmaking, research, and policy development. Our vision is a nation where museums and libraries work together to transform the lives of individuals and communities. To learn more, visit and follow us on Facebook and Twitter.


This lesson has no preqrequisites, and the materials assume no prior knowledge of the topics and tools introduced in each episode.


Setup Download files required for the lesson
00:00 1. Overview of Scientific Reproducibility How is ‘reproducibility’ defined?
Why is scientific reproducibility important?
00:45 2. Reproducibility Standards What makes research reproducible?
How does a research compendium support reproducibility?
What are common obstacles to making research reproducible?
01:30 3. Scientific Reproducibility and the LIS Professional What is the role of the LIS professional in supporting reproducible research?
What are the requisite skills and knowledge for executing data curation for reproducibility workflows?
In what ways can data curation for reproducibility activities be incorporated into services?
02:15 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.