Dr Basile Chrétien

This is the preregistration of an observational study examining how researchers are represented in open scholarly data and how they present themselves on academic CVs. It uses SigmaCV, an open-source web application that auto-generates academic CVs from open research data (OpenAlex, ORCID, Crossref, and related sources). Study A (disambiguation error) quantifies how often works automatically attributed to a researcher by open data sources are false positives — not actually theirs — based on participant adjudication, and estimates how correcting these false positives changes the h-index. Study B (metric-display norms) examines whether, when metric display is opt-in with a default of "none," researchers who display any metric choose the h-index more often than field-normalised indicators. The design is a non-interventional secondary analysis of consent-based, pseudonymised platform data from a single worldwide cohort of consenting adult (18+) SigmaCV users; the two studies share one participant pool and one consent. This preregistration fixes only the two confirmatory hypotheses (H1-A, H1-B) and their analyses; all other analyses (predictors of error, name-script and surname-commonness equity, predictive models, latent CV-style classes, biomedical-subgroup descriptives) are exploratory and reported with effect sizes and confidence intervals. Expected outcomes: a participant-adjudicated false-positive attribution rate and its effect on the h-index (with a reference-standard validation substudy and quantitative bias analysis), and the distribution of metric-display choices under an opt-in/default-none regime. Reporting follows STROBE; de-identified, aggregate data and analysis code will be shared consistent with consent. Ethics review is underway at the Nagoya University Graduate School of Medicine Bioethics Review Committee (observational-research panel; pre-review no. CRE-2026-255); data collection begins only after approval.