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Wednesday, July 28 • 8:00am - 9:00am
W30- Data Curation and Code Review in Service of Scientific Reproducibility

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In 2019, the National Academies published a consensus study report, Reproducibility and Replicability in Science (https://www.nap.edu/catalog/25303/reproducibility-and-replicability-in-science), that addressed issues of reproducibility and replicability that impact the public trust in science. Defining reproducibility as “obtaining consistent results using the same input data, computational steps, methods, and code, and conditions of analysis,” the report noted the lack of consistency in the quality of research artifacts stored in data repositories—resulting in failed attempts to reproduce analytical findings in published reports.

This course introduces the data curation for reproducibility model of curation in which the object of curation goes beyond the dataset to consider the compendium of research artifacts that includes the dataset, documentation, analysis scripts, and all other materials necessary for full understanding and verification of the research processes that yielded the outputs recorded in the scientific record. This model involves quality review of each of the component parts of the research compendium, including code review, to ensure that materials meet the highest quality standards that support reproducibility.

This course will provide participants foundational knowledge for understanding and engaging in discourses around scientific reproducibility while gaining the practical skills needed to effectively curate research data artifacts that serve as the evidence base for reported scientific findings. This includes the application of rigorous data quality review processes as well as inspection and execution of code. The purpose of the course is to enable information professionals to execute data curation for reproducibility workflows that include code review to ensure the reproducibility of published research.

(All times Pacific)
Wednesday, July. 28
8-9AM: Session 1
4-5PM: REPEAT Session 1
Monday, Aug. 2
8-9AM: Session 2
4-5PM: REPEAT Session 2
Wednesday, Aug. 4
8-9AM: Session 3
4-5PM: REPEAT: Session 3


Thu-Mai Christian

Assistant Director for Archives, Odum Institute, University of North Carolina at Chapel Hill
avatar for Florio Arguillas

Florio Arguillas

Research Associate, Cornell University

Limor Peer

Associate Director for Research, Institution for Social and Policy Studies, Yale University

Wednesday July 28, 2021 8:00am - 9:00am PDT
W30 Classroom