The NIAID Data Ecosystem Discovery Portal: Accelerating Infectious Disease Research through Data Discovery
As the volume of publicly available biomedical data increases, infectious disease researchers face barriers integrating new data streams into surveillance, modeling, and related efforts. Existing resources are difficult to find due to inconsistent metadata standards and limited awareness of where relevant data are stored. To address these challenges, the National Institute of Allergy and Infectious Diseases (NIAID) developed the NIAID Data Ecosystem Discovery Portal, a centralized and continuously evolving resource designed to streamline dataset discovery for infectious and immune-mediated disease (IID) research. The Portal is accessible at data.niaid.nih.gov.
Authors
- Jason Lin (ORCID: https://orcid.org/0000-0002-8086-3185)
- Everaldo Rodolpho (ORCID: https://orcid.org/0009-0002-8973-8126)
- Candice Czech
- Darya Pokutnaya (ORCID: https://orcid.org/0000-0003-4699-8411)
- Andrew I. Su (ORCID: https://orcid.org/0000-0002-9859-4104)
- Reed S. Shabman (ORCID: https://orcid.org/0000-0003-3272-3484)
- Sudha Venkatachari
- Ginger Tsueng (ORCID: https://orcid.org/0000-0001-9536-9115)
- Chunlei Wu
- Leandro Collares
- Emily Bullen
- Lisa M. Mayer
- Zubair Qazi
- Nichollette Acosta
- Laura Hughes
- Dylan Welzel
Institutions
- Scripps Research Institute (US)
- University of Pittsburgh (US)
- National Institute of Allergy and Infectious Diseases (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-01
- DOI
- https://doi.org/10.5281/zenodo.18330560
- Primary Topic
- Zoonotic diseases and public health
- Type
- article
- Field-Weighted Citation Impact
- 0.00