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Article
Open AccessSchema Playground: a tool for authoring, extending, and using metadata schemas to improve FAIRness of biomedical data
Biomedical researchers are strongly encouraged to make their research outputs more Findable, Accessible, Interoperable, and Reusable (FAIR). While many biomedical research outputs are more readily accessible t...
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Outbreak.info Research Library: a standardized, searchable platform to discover and explore COVID-19 resources
Outbreak.info Research Library is a standardized, searchable interface of coronavirus disease 2019 (COVID-19) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) publications, clinical trials, dat...
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Article
Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations
In response to the emergence of SARS-CoV-2 variants of concern, the global scientific community, through unprecedented effort, has sequenced and shared over 11 million genomes through GISAID, as of May 2022. T...
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Article
Open AccessDevelo** a standardized but extendable framework to increase the findability of infectious disease datasets
Biomedical datasets are increasing in size, stored in many repositories, and face challenges in FAIRness (findability, accessibility, interoperability, reusability). As a Consortium of infectious disease resea...
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Open AccessAddressing barriers in FAIR data practices for biomedical data
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Article
Open AccessPredicting the evolution of the Lassa virus endemic area and population at risk over the next decades
Lassa fever is a severe viral hemorrhagic fever caused by a zoonotic virus that repeatedly spills over to humans from its rodent reservoirs. It is currently not known how climate and land use changes could aff...
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Article
Open AccessRegional connectivity drove bidirectional transmission of SARS-CoV-2 in the Middle East during travel restrictions
Regional connectivity and land travel have been identified as important drivers of SARS-CoV-2 transmission. However, the generalizability of this finding is understudied outside of well-sampled, highly connect...