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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES

A quality control pipeline for enhancing reproducibility of immunology studies with shared data

Completed
Institution
UNIVERSITY OF MARYLAND BALTIMORE, MD
Principal investigator
Marcela F Pasetti
Funding
$250K
Duration
2021–2026
Open portfolio

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Still being scored

Abstract

PROJECT SUMMARY The parent project of this administrative supplement application is the NIAID U19-funded Maternal Immunization and Determinants of Infant Immunity (MADI) program. MADI is a multidisciplinary investigation of immunity during pregnancy and the factors linking maternal immune status to child health. MADI has brought together diverse investigators with powerful human subjects cohorts contributing rich clinical, sociodemographic, and high-throughput data sets. The MADI Data Management and Biostatistics Core has designed, built and implemented a custom data management platform to support MADI’s immunological research in accordance with FAIR data management principles. Our Interactive Serology Plate Inspector (I- SPI) software is a robust quality control (QC) pipeline for multiplexed bead array assay (MBAA) data compatible with the MADI Data Portal and NIAID’s ImmPort repository. We aim to: expand the I-SPI tool to other assay types commonly found in ImmPort by implementing and enhancing existing QC methods for other data types; collaborate with ImmPort to expand the ImmPort data model to hold these quality-related metadata; put data already in ImmPort through our QC pipelines to extract quality-related metadata and populate the new aspects of the data model, adding value to the ImmPort resource by enhancing its alignment with FAIR principles and promoting its reproducibility and replicability.

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NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASESU19ZAI1(J4)metadatamaternalniaidreproducibilitydata managementquality controldata modelfair

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