De-identified item-level dataset: Digital health infrastructure and research priorities across neonatal intensive care units in Germany – a nationwide cross-sectional survey

De-identified, k-anonymized item-level dataset (124 records, 87 variables) from a nationwide cross-sectional online survey of neonatal intensive care units in Germany (June–September 2025; export of 24 September 2025), with an English codebook. The federal state, all free-text fields and all paradata are removed; response options of the software, research-topic and monitor-manufacturer items are masked as randomly assigned letters; rare professional roles are collapsed and locally suppressed (k ≥ 5); record order is permuted. The files are under restricted access: requests are decided by an independent data access committee, the Data Integration Center of the University of Leipzig Medical Center ([e-mail]), and access is granted under a data-use agreement. The dataset reproduces the percentages, distributions, correlations and care-level comparisons reported in the associated article (PLOS Digital Health, manuscript PDIG-D-26-01242). Ethics approval: Ethics Committee of the Medical Faculty of Leipzig University, 102/25-ek.