Academic Journal
The NIAID Discovery Portal: a unified search engine for infectious and immune-mediated disease datasets.
| Τίτλος: | The NIAID Discovery Portal: a unified search engine for infectious and immune-mediated disease datasets. |
|---|---|
| Συγγραφείς: | Tsueng G; The Scripps Research Institute, La Jolla, California, USA., Bullen E; The Scripps Research Institute, La Jolla, California, USA., Czech C; The Scripps Research Institute, La Jolla, California, USA., Welzel D; The Scripps Research Institute, La Jolla, California, USA., Collares L; The Scripps Research Institute, La Jolla, California, USA., Lin J; The Scripps Research Institute, La Jolla, California, USA., Rodolpho E; The Scripps Research Institute, La Jolla, California, USA., Qazi Z; The Scripps Research Institute, La Jolla, California, USA., Acosta N; The Scripps Research Institute, La Jolla, California, USA., Mayer LM; Office of Data Science and Emerging Technologies, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA., Venkatachari S; National Cancer Institute, Rockville, Maryland, USA., Mitrović Vučičević Z; Velsera, Charlestown, Maryland, USA., Burman PN; Velsera, Charlestown, Maryland, USA., Jain D; Velsera, Charlestown, Maryland, USA., DiGiovanna J; Velsera, Charlestown, Maryland, USA., Giovanni M; National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA., Lin A; Office of Data Science and Emerging Technologies, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA., Van Panhuis W; Office of Data Science and Emerging Technologies, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA., Hughes LD; The Scripps Research Institute, La Jolla, California, USA., Su AI; The Scripps Research Institute, La Jolla, California, USA., Wu C; The Scripps Research Institute, La Jolla, California, USA. |
| Πηγή: | MSystems [mSystems] 2026 Feb 17; Vol. 11 (2), pp. e0127025. Date of Electronic Publication: 2025 Dec 31. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 101680636 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2379-5077 (Electronic) Linking ISSN: 23795077 NLM ISO Abbreviation: mSystems Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Washington, DC : American Society for Microbiology, [2016]- |
| Ιατρικοί όροι (MeSH): | Search Engine*/methods , Databases, Factual* , Immune System Diseases* , Communicable Diseases*, Humans ; National Institute of Allergy and Infectious Diseases (U.S.) ; United States ; Metadata |
| Περίληψη: | 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. |
| Competing Interests: | The authors declare no conflict of interest. |
| References: | PLoS One. 2024 Apr 25;19(4):e0302426. (PMID: 38662676) Am J Hum Genet. 2008 Nov;83(5):610-5. (PMID: 18950739) Nucleic Acids Res. 2012 Jan;40(Database issue):D940-6. (PMID: 22080554) Nucleic Acids Res. 2012 Jan;40(Database issue):D48-53. (PMID: 22144687) Bioinformatics. 2013 May 15;29(10):1325-32. (PMID: 23479348) Sci Data. 2016 Mar 15;3:160018. (PMID: 26978244) Sci Data. 2023 Feb 23;10(1):99. (PMID: 36823157) Nucleic Acids Res. 2010 Jan;38(Database issue):D870-1. (PMID: 19965774) Nucleic Acids Res. 2013 Jan;41(Database issue):D991-5. (PMID: 23193258) Sci Data. 2018 Feb 27;5:180015. (PMID: 29485622) Bioinformatics. 2022 Mar 28;38(7):2077-2079. (PMID: 35020801) JMIR Public Health Surveill. 2025 Aug 20;11:e72677. (PMID: 40834404) Database (Oxford). 2020 Jan 1;2020:. (PMID: 32761142) Database (Oxford). 2024 Nov 28;2024:. (PMID: 39607847) Nat Methods. 2018 Oct;15(10):796-798. (PMID: 30275573) Nucleic Acids Res. 2013 Jul;41(Web Server issue):W518-22. (PMID: 23703206) Sci Data. 2023 Feb 23;10(1):98. (PMID: 36823198) BMC Bioinformatics. 2005;6 Suppl 1:S1. (PMID: 15960821) |
| Grant Information: | 75N91020F00022 Frederick National Laboratory for Cancer Research |
| Contributed Indexing: | Keywords: FAIR data; data discovery; data reuse; immunology; infectious disease; metadata harmonization; resource report |
| Entry Date(s): | Date Created: 20251231 Date Completed: 20260217 Latest Revision: 20260813 |
| Update Code: | 20260813 |
| PubMed Central ID: | PMC12911352 |
| DOI: | 10.1128/msystems.01270-25 |
| PMID: | 41475378 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2379-5077 |
|---|---|
| DOI: | 10.1128/msystems.01270-25 |