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University of Colorado Denver


Responsible Conduct of Research

Data Acquisition and Statistical Analysis

Course Objectives
  1.  Describe guidelines for the ethical procurement, storage and sharing of data bases
  2. Describe key procedures to ensure the integrity of statistical analysis
  3. Identify key resources
  4. 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. 
Data Acquisition
  • 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
Statistical Analysis
  • Lecture – outlining issues addressed in Ethical Guidelines of Statistical Practice from the American Statistical Association; defining repeatable research and historical examples of why it is important including current issues related to enforcement
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
  1. Who “owns” the data that is collected in my research study?
  2. What are the common pitfalls for data collection that compromise data integrity?
  3. Who can I share my data with?
  4. Why is “repeatable” data analysis important?
  5. What needs to be included in reports/manuscripts for accurately reporting data manipulation and data analysis?
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