AI Data-Management Plan Deposit Checklist: Aligning to NIH 2023 Policy

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-ai-data-management-plan-deposit-checklist-r6a3-creators

1. What information should an AI-generated DMSP deposit checklist be keyed to?

   1. Principal investigator age, institutional rank, and lab location
   2. Dataset sensitivity, repository options, and timeline obligations
   3. Funding amount, grant duration, and publication count
   4. File size, upload speed, and user interface design

2. Which of the following can AI reliably generate for a multi-omics study deposit?

   1. A final decision on whether to use dbGaP, FigShare, or a domain-specific repository
   2. A guarantee that all data has been properly de-identified
   3. A signed data use agreement from the funding agency
   4. A dataset-by-dataset deposit checklist including metadata schema cues and README content templates

3. A researcher wants to deposit controlled-access genomic data. Which task requires human judgment and cannot be delegated to AI?

   1. Deciding whether dbGaP is the appropriate repository for the data type
   2. Generating README content placeholders
   3. Drafting file naming conventions for the deposit
   4. Creating a version-of-record commitment timeline

4. What critical review step must a human data steward perform that AI cannot replace?

   1. Formatting of metadata fields according to schema standards
   2. Review of de-identification completeness for the dataset
   3. Calculation of embargo duration based on publication dates
   4. Generation of file checksum values for data integrity verification

5. What happens when an AI-generated checklist conflates embargo with delayed deposit?

   1. It will trigger compliance escalation because embargo and delayed deposit are distinct requirements
   2. It will generate proper metadata for the repository
   3. It will automatically extend the grant funding period
   4. It will improve the dataset's findability in search results

6. For a multi-omics study deposit, which element should be included in an AI-generated checklist?

   1. The researcher's favorite data analysis software
   2. The PI's personal social media account credentials
   3. Access-review responsibility for controlled data
   4. A prediction of future scientific breakthroughs

7. What does the NIH 2023 policy primarily require regarding data deposits?

   1. Deposits to a single mandatory repository for all data types
   2. Deposits only during business hours on weekdays
   3. Timely deposit to appropriate repositories regardless of embargo status
   4. Immediate public release of all data upon submission

8. Which statement best describes AI's role in repository selection under NIH 2023 policy?

   1. AI should select the repository with the most free storage space
   2. AI can definitively choose the best repository for any dataset
   3. AI can draft rationale aligned to NIH desirable characteristics but cannot make the final selection
   4. AI can ignore repository characteristics and focus only on file formatting

9. When depositing data to a repository under embargo, when must the deposit actually occur?

   1. After the embargo period has completely expired
   2. On schedule, according to the DMSP timeline—the embargo only affects public access timing
   3. Only after all co-authors approve the embargo period
   4. Whenever the repository has available storage capacity

10. What type of content should README files for deposited datasets include?

    1. The PI's personal notes and unpublished hypotheses
    2. Marketing materials for the research institution
    3. Experimental methods, variable definitions, and data collection timestamps
    4. Unedited laboratory equipment error logs

11. Which factor should influence repository selection for NIH-funded data?

    1. Whether the repository aligns with NIH desirable characteristics and suits the data type
    2. The number of social media followers the repository has
    3. The physical location of the repository's servers
    4. The repository's logo color and brand recognition

12. File naming conventions in a data deposit checklist serve what primary purpose?

    1. Meeting the aesthetic preferences of repository administrators
    2. Ensuring files can be uniquely identified and retrieved by both humans and systems
    3. Complying with copyright restrictions on file extensions
    4. Making the files appear first in alphabetical directory listings

13. Why is metadata schema selection important for deposited datasets?

    1. It determines the exact amount of storage space required
    2. It eliminates the need for README documentation
    3. It automatically translates data into different programming languages
    4. It ensures interoperability and discoverability within the specific scientific domain

14. What does version-of-record commitment refer to in data deposit planning?

    1. A commitment to update data files daily with new measurements
    2. A pledge to publish data in multiple file formats simultaneously
    3. A promise to preserve and make accessible a specific version of the dataset over time
    4. An agreement to share data only with version control software developers

15. Who bears ultimate responsibility for repository selection decisions under NIH 2023 policy?

    1. The funding agency program officer exclusively
    2. The AI system that generated the checklist
    3. The Principal Investigator, with input from data stewards and AI tools
    4. The repository administrator who will receive the data