Research Data Management from the STEM Perspective: Reproducibility, Data Reuse, Data integration

Authors

Melissa D. Clarkson, University of KentuckyFollow

Abstract

This presentation highlights three big ideas in STEM data management:

• Reproducibility requires scripted pipelines
• Data reuse requires metadata and documentation
• Data integration requires use of standards

It also provides an overview of the FAIR principles for research data management.

Document Type

Presentation

Publication Date

4-8-2020

Notes/Citation Information

A presentation in the University of Kentucky Office of the Vice President for Research Lunch and Learn series.

Repository Citation

Clarkson, Melissa D., "Research Data Management from the STEM Perspective: Reproducibility, Data Reuse, Data integration" (2020). Institute for Biomedical Informatics Presentations. 1.
https://uknowledge.uky.edu/bmi_present/1