Parent Perspectives on Privacy and Governance for a Pediatric Repository of Non-Biological, Research Data
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research data repositories (RDRs) are data storage entities where data can be submitted, stored, and subsequently accessed for purposes beyond the original intent. There is little information relating to non-biological RDRs, nor considerations regarding pediatric data storage and re-use. We examined parent perspectives on pediatric, non-biological RDRs. Qualitative, descriptive methods including both interviews and focus groups were used. Purposive sampling of adult participants in two provincial birth cohorts yielded 19 interviewees and 18 focus group participants (4 groups). Transcripts were analyzed by thematic content analysis. Parent research participants strongly supported the sharing of their own, and their child's, non-biological research data. Four themes emerged: that altruism has limits, that participants have ongoing privacy concerns, that some participants need the assurance of congruent values between themselves and researchers/research questions, and that opinions diverge for some governance issues. The establishment of RDRs is important and maximizes participants', researchers', and funders' investments. Participants as data donors have concerns relating to privacy, relationships, and governance that must be considered in RDR development.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | MetaresearchOpen science Domain: Reproducibility · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | medium |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.275 | 0.636 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.046 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it