Describe guidelines for the ethical procurement, storage and sharing of data bases
Describe key procedures to ensure the integrity of statistical analysis
Identify key resources
To educate students about data acquisition/management practices that ensure the integrity of data and about ethical issues related to statistical analyses including the necessity of “repeatable” data analyses.
Lecture - outlining issues related to ownership, collection, storage, and sharing using materials from Responsible Conduct of Research
Class Discussion of Example Cases – also from Responsible Conduct of Research
Class Discussion of Example Cases – discuss examples of data
analysis issues, e.g. Baggerly’s example of forensic bioinformatics
Chapter 3, Responsible Conduct of Research, Adil Shamoo and David Resnik
Ethical guidelines for statistical practice, ASA
Questions that focus content
Who “owns” the data that is collected in my research study?
What are the common pitfalls for data collection that compromise data integrity?
Who can I share my data with?
Why is “repeatable” data analysis important?
What needs to be included in reports/manuscripts for accurately reporting data manipulation and data analysis?