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Project Tycho® is a project at the University of Pittsburgh to advance the availability and use of public health data for science and policy making. Currently, the Project Tycho® database includes data from all weekly notifiable disease reports for the United States dating back to 1888. These data are freely available to anybody interested. Additional U.S. and international data will be released twice yearly.
The ROAR Isolate Database is a searchable collection of commensal and complimentary pathogen isolate datasets. ROAR allows investigators to identify datasets of interest, submit datasets, or download datasets. ROAR datasets include data depositors' contact information and links to their articles in ROAR Literature Database.
The Africa Centre offers longitudinal datasets from a rural demographic in KwaZulu-Natal, South Africa where HIV prevalence is extremely high. The data may be filtered by demographics, years, or by individuals questionnaires. The Africa Centre requests notification that anyone contact them when downloading their data. Since January 2000, the Africa Centre For Population Health has built up an extensive longitudinal database of demographic, social, medical and economic information about the members of its Demographic Surveillance Area, which is situated in a rural area of northern KwaZulu-Natal. It has developed from this database, the following suite of datasets which can be used both internally within the organisation, and by other researchers.
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The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics. *** GISAID does so by overcoming disincentives/hurdles or restrictions, which discourage or prevented sharing of influenza data prior to formal publication. *** The Initiative ensures that open access to data in GISAID is provided free-of-charge and to everyone, provided individuals identify themselves and agree to uphold the GISAID sharing mechanism governed through its Database Access Agreement. GISAID calls on all users to agree to the basic premise of upholding scientific etiquette, by acknowledging the originating laboratories providing the specimen and the submitting laboratories who generate the sequence data, ensuring fair exploitation of results derived from the data, and that all users agree that no restrictions shall be attached to data submitted to GISAID, to promote collaboration among researchers on the basis of open sharing of data and respect for all rights and interests.