r3d100013925 TB Portals Tuberculosis data science https://tbportals.niaid.nih.gov RRID:SCR_016594 NIAID’s TB Portals Program is a multi-national collaboration for TB data sharing and analysis to advance TB research. As a global consortium of clinicians, scientists, and IT professionals from 40 sites in 16 countries throughout eastern Europe, Asia, and sub-Saharan Africa, the TB Portals Program is a web-based, open-access repository of multi-domain TB data and tools for its analysis. Researchers can find linked socioeconomic/geographic, clinical, laboratory, radiological, and genomic data from over 7,500 international published TB patient cases with an emphasis on drug-resistant tuberculosis. TBPortalsInfo@niaid.nih.gov disciplinary 7.525 TB Cases; 3.305 genomic sequences; 9.020 Chest X-Ray and CT Images 2018 eng 2 Life Sciences 204 Microbiology, Virology and Immunology 205 Medicine 20501 Epidemiology, Medical Biometry, Medical Informatics 20502 Public Health, Health Services Research, Social Medicine 21 Biology 22 Medicine 3 Natural Sciences 317 Geography 31702 Human Geography 34 Geosciences (including Geography) https://tbportals.niaid.nih.gov/about Databases Images Scientific and statistical data formats Structured text dataProvider FAIR clinical data genomic data imaging data tuberculosis National Institute of Allergy and Infectious Diseases NIAID USA general non-profit https://www.niaid.nih.gov/ ROR:043z4tv69 Data Sharing Policies https://tbportals.niaid.nih.gov/data-sharing-policies Data Use Agreement . https://tbportals.niaid.nih.gov/pdf/TB-Portals-Data-Use-Agreement.pdf Disclaimer https://tbportals.niaid.nih.gov/disclaimer open Public Domain https://tbportals.niaid.nih.gov/disclaimer open restricted other Public Domain https://tbportals.niaid.nih.gov/data-sharing-policies restricted other other https://datasharing.tbportals.niaid.nih.gov/#/data-api https://tbportals.niaid.nih.gov/pdf/TB-Portals-Acknowledgement-and-Citation-Guidelines.pdf unknown yes In addition to viewing or downloading custom cohorts, physicians and health care researchers can easily compare these cohorts with statistical rigor in the TB Portals Data Exploration Portal (DEPOT) (https://depot.tbportals.niaid.nih.gov/). Partners: https://tbportals.niaid.nih.gov/partners 2022-07-22 2022-07-29