R Programming Language Certification Regulatory Frameworks & Compliance 5 — Questions and Answers
Question 1: Which practice ensures that a randomized controlled trial analysis in R is reproducible for regulatory auditors months after the original analysis?
- Setting a fixed seed with set.seed() and locking packages with renv (Correct answer)
- Using the latest CRAN package versions at time of re-run
- Re-running the analysis in Python to cross-validate
- Saving only the final output tables, not the scripts
Correct answer: Setting a fixed seed with set.seed() and locking packages with renv
Setting a fixed random seed ensures stochastic reproducibility, while renv locks package versions so the computational environment is identical when regulators re-run the analysis.
Question 2: What is the primary purpose of a Define.xml file in a CDISC-compliant regulatory submission created from R analysis datasets?
- To describe the structure, contents, and controlled terminology of the submitted datasets (Correct answer)
- To store compressed versions of the raw data
- To run the R analysis scripts on the FDA's servers
- To document the R package versions used in the analysis
Correct answer: To describe the structure, contents, and controlled terminology of the submitted datasets
Define.xml is a metadata file accompanying CDISC submissions that describes each dataset, variable, codelist, and associated controlled terminology so regulators can interpret the data.
Question 3: A company building an R Shiny application for HIPAA-covered entities must ensure the app implements which security control as a baseline requirement?
- Access controls with role-based authentication (Correct answer)
- Public API endpoints for data sharing
- Storing PHI in browser localStorage
- Disabling HTTPS to reduce latency
Correct answer: Access controls with role-based authentication
HIPAA's Security Rule requires access controls that limit system access to authorized users, making role-based authentication a baseline requirement for any application handling PHI.
Question 4: Which international standard provides a framework for information security management systems that an organization using R for sensitive data analysis should implement?
- ISO/IEC 27001 (Correct answer)
- ISO 9001
- ISO 14001
- ISO 31000
Correct answer: ISO/IEC 27001
ISO/IEC 27001 specifies requirements for establishing, implementing, and maintaining an Information Security Management System (ISMS) to protect sensitive information assets.
Question 5: When a regulated R analysis environment requires separation of development, testing, and production, what infrastructure pattern is being enforced?
- Environment segregation (Dev/Test/Prod) (Correct answer)
- Continuous integration without gates
- Single-tenant deployment
- Hot-swapping package libraries
Correct answer: Environment segregation (Dev/Test/Prod)
Regulatory frameworks like GxP and SOX require segregation of environments to prevent untested code from reaching production and to maintain integrity of validated systems.
Question 6: Under FERPA, a university data analyst using R to study student outcomes must obtain what before linking student records to external datasets?
- Written consent from students or a FERPA exception (Correct answer)
- IRB approval only
- A state business license
- An open-source software license
Correct answer: Written consent from students or a FERPA exception
FERPA restricts disclosure of personally identifiable student information; linking to external data typically requires written student consent unless a specific statutory exception applies.
Question 7: What R package provides tools to create a reproducible computational environment specification that satisfies the documentation requirements of a GxP audit?
- renv (Correct answer)
- packrat
- checkpoint
- groundhog
Correct answer: renv
renv is the current industry-standard package for project-level library management, generating an renv.lock file that fully documents the package environment for GxP audit purposes.
R Programming Language Certification Regulatory Frameworks & Compliance 5
Which practice ensures that a randomized controlled trial analysis in R is reproducible for regulatory auditors months after the original analysis?