AI Research Software Citation Narrative: Drafting Code-Citation Policy Summaries

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-AI-and-research-software-citation-narrative-r8a3-creators

1. What is the primary function of an AI-drafted research software citation narrative?

   1. To decide which stakeholders should approve the policy
   2. To automatically generate DOIs for all research software
   3. To replace human judgment on citation ethics entirely
   4. To organize DOI assignment, version pinning, and CITATION.cff conventions into a decision-ready summary

2. Why is version pinning critical for reproducible research?

   1. It allows researchers to use the newest features available
   2. It ensures the exact software version used is documented, making results reproducible
   3. It automatically updates citation formats for different journals
   4. It prevents software authors from making future changes

3. A software citation references 'latest' instead of a specific version tag. What is the most significant problem with this practice?

   1. It cannot be parsed by reference management software
   2. The citation becomes irreproducible when new versions are released
   3. It violates journal submission guidelines
   4. It requires more computational resources to resolve

4. When drafting a citation policy, which question can AI not reliably answer?

   1. What format should the CITATION.cff file use?
   2. How should DOIs be formatted?
   3. What version tags are available for the software?
   4. Which stakeholders need separate conversations before the document is finalized?

5. What is CITATION.cff?

   1. A file format that provides machine-readable citation metadata for software
   2. A type of academic journal focused on code
   3. A peer-review process for research software
   4. A protocol for generating DOIs automatically

6. What does archiving a snapshot of software accomplish in the context of citation?

   1. It allows the software to be sold commercially
   2. It preserves the exact state of the software at a specific point in time for future reproducibility
   3. It automatically updates all dependent citations
   4. It converts the software to a new programming language

7. According to the concepts in this lesson, what should an AI-drafted policy summary contain?

   1. Only a list of software to cite
   2. A complete list of all possible stakeholders
   3. The final approved policy ready for immediate implementation
   4. A headline framing, substantive points with caveats, and explicit decisions the reviewer must resolve

8. What specific capability does the lesson identify as something AI does well when drafting citation narratives?

   1. Predicting which journals will accept the citation format
   2. Restructuring raw notes into coherent, decision-ready summaries
   3. Determining the ethical implications of citation practices
   4. Automatically enforcing citation policies across a lab

9. What type of questions should an AI draft surface rather than resolve?

   1. Questions about programming language compatibility
   2. Questions about unresolved implications that require human judgment
   3. Questions about citation database availability
   4. Questions about file formatting syntax

10. A researcher asks an AI to draft a citation policy. The AI produces a document referencing version 'latest' for a dependency. What should the researcher do?

    1. Delete the draft and write the policy manually
    2. Accept the draft as final since AI generated it
    3. Replace 'latest' with a specific version tag and archive a snapshot
    4. Submit the document to the funding agency immediately

11. What is a DOI in the context of research software?

    1. A Development Operations Index that tracks code changes
    2. A Document Organization Index that sorts citations alphabetically
    3. A Data Output Interface that formats research results
    4. A Digital Object Identifier that provides a persistent link to software or its documentation

12. Before finalizing a citation policy, why might separate conversations with different stakeholders be necessary?

    1. Because AI requires multiple approvals to function
    2. Because journals mandate stakeholder sign-off
    3. Because citation decisions can involve political, ethical, or relational considerations that vary by group
    4. Because software licenses require it

13. In software citation, what does 'pinning a tag' mean?

    1. Affixing a physical label to software documentation
    2. Locking software so it cannot be modified
    3. Creating a new branch in a version control repository
    4. Specifying an exact version identifier (like v1.2.3) rather than a moving target like 'latest'

14. The lesson describes which type of concerns as something AI cannot 'read the room' on?

    1. Technical questions about citation formatting
    2. Questions about computational costs
    3. Questions about software performance
    4. Political, ethical, or relational concerns rather than purely analytical ones

15. What action should a Principal Investigator (PI) take before adopting an AI-drafted citation policy summary?

    1. Review and resolve the explicit decisions and caveats the AI flagged for resolution
    2. Sign it immediately since AI drafted it accurately
    3. Submit it to the journal of choice
    4. Send it to all lab members without changes