The NIAID Discovery Portal: a unified search engine for infectious and immune-mediated disease datasets

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Authors: Ginger Tsueng, Emily Bullen, Candice Czech, Dylan J. Welzel, Leandro Collares, Jason Ching‐Yao Lin, Everaldo Rodolpho, Zubair Qazi, Nichollette Acosta, Lisa M. Mayer, Sudha Venkatachari, Zorana Mitrović Vučičević
+9 more Poromendro N. Burman, Deepti Jain, Jack DiGiovanna, Maria Y. Giovanni, Asiyah Lin, Wilbert Van Panhuis, Laura D. Hughes, Andrew I. Su, Chunlei Wu
Cited by: 1
References: 21

Abstract

The National Institute of Allergy and Infectious Diseases (NIAID) Data Ecosystem Discovery Portal (https://data.niaid.nih.gov) provides a unified search interface for over 4 million data sets relevant to infectious and immune-mediated disease (IID) research. Integrating metadata from domain-specific and generalist repositories, the Portal enables researchers to identify and access data sets using user-friendly filters or advanced queries, without requiring technical expertise. The Portal supports discovery of a wide range of resources, including epidemiological, clinical, and multi-omic data sets and is designed to accommodate exploratory browsing and precise searches. The Portal provides filters, prebuilt queries, and data set collections to simplify the discovery process for users. The Portal additionally provides documentation and an API for programmatic access to harmonized metadata. By easing access barriers to important biomedical data sets, the NIAID Data Ecosystem Discovery Portal serves as an entry point for researchers working to understand, diagnose, or treat IID.IMPORTANCEValuable data sets are often overlooked because they are difficult to locate. The NIAID Data Ecosystem Discovery Portal fills this gap by providing a centralized, searchable interface that empowers users with varying levels of technical expertise to find and reuse data. By standardizing key metadata fields and harmonizing heterogeneous formats, the Portal improves data findability, accessibility, and reusability. This resource supports hypothesis generation, comparative analysis, and secondary use of public data by the IID research community, including those funded by NIAID. The Portal supports data sharing by standardizing metadata and linking to source repositories and maximizes the impact of public investment in research data by supporting scientific advancement via secondary use.

Fields of Study & Subjects

Data-Driven Disease Surveillance Biomedical Text Mining and Ontologies vaccines and immunoinformatics approaches

Publication details

Journal / source
mSystems
Publisher
American Society for Microbiology
Volume
11
Issue
2
Pages
e0127025–e0127025
Publication date
1 January 2026
Language
EN