PROJECT SUMMARY/ABSTRACT Adverse pregnancy outcomes and complications such as preterm birth, preeclampsia, intrauterine growth restriction, and gestational diabetes present significant risks to pregnant people. The strongest predictor of these pregnancy outcomes is the occurrence of the outcome during a prior pregnancy; however, this leaves a large knowledge gap regarding risk prediction for people in their first pregnancy (nulliparas). To address this gap, the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) enrolled and richly phenotyped a demographically diverse cohort of women during their first pregnancy. The cohort’s high-quality data and biospecimens were collected under regulatory frameworks that support resource sharing and data compilation leading to use in future research. The upcoming public release of nuMoM2b biospecimens requires the aggregation of biospecimen metadata using a templated spreadsheet provided by NICHD, which will be completed by the nuMoM2b Heart Health Study team at RTI. The data provided to NICHD will include all requested fields available in the project data. These data will be provided for the biospecimens that were originally collected during nuMoM2b and have not yet been analyzed or earmarked for analysis and a set of aliquots of maternal and fetal DNA that were derived from nuMoM2b specimens. The Specific Aims reflect an efficient approach to completing advantageous biospecimen compilation, which can be used in analyses going forward. The RTI team will receive updated biospecimen inventories from the network partners tracking nuMoM2b biospecimen use (Aim 1). Once RTI receives information, the nuMoM2b Heart Health Study team will run quality control checks against the inventory files to ensure accuracy of information and then merge them with the nuMoM2b data (Aim 2). Upon merging, data will then be exported in the available biospecimen metadata fields in the requested format (Aim 3). Throughout the process, the team will also provide support for administration of the funds to support this work. With a foundation of strong leadership and technical infrastructure, RTI will provide an ideal setting for compiling nuMoM2b data to continue addressing critical knowledge gaps in the field.