Archived
This content is available here strictly for research, reference, and/or recordkeeping and as such it may not be fully accessible. If you work or study at University of Kentucky and would like to request an accessible version, please use the SensusAccess Document Converter.
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
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
Included in
Life Sciences Commons, Medicine and Health Sciences Commons, Physical Sciences and Mathematics Commons

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