Liberating host-virus knowledge from biological dark data
| Autor: | Nico M. Franz, Jorrit H. Poelen, Nathan S. Upham, Nancy B. Simmons, Sandro Bertolino, Atriya Sen, Deborah Paul, DeeAnn M. Reeder, Lyubomir Penev, Quentin Groom, Cristiane Bastos-Silveira, Maarten P.M. Vanhove, Beckett Sterner, Marcus Guidoti, Donat Agosti |
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| Přispěvatelé: | Repositório da Universidade de Lisboa |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Health (social science)
Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Information Storage and Retrieval Medicine (miscellaneous) Environmental Sciences & Ecology Context (language use) Dark data Viewpoint Zoonoses Animals Humans GE1-350 bepress|Medicine and Health Sciences|Public Health|International Public Health SPILLOVER bepress|Medicine and Health Sciences|Organisms Biological taxonomy Public Environmental & Occupational Health Science & Technology Host Microbial Interactions SARS-CoV-2 Health Policy Search engine indexing bepress|Medicine and Health Sciences|Public Health|Epidemiology Public Health Environmental and Occupational Health COVID-19 bepress|Medicine and Health Sciences Data science bepress|Medicine and Health Sciences|Public Health Planetary health Environmental sciences Knowledge graph bepress|Medicine and Health Sciences|Diseases Life Sciences & Biomedicine Host (network) Environmental Sciences |
| Zdroj: | The Lancet. Planetary Health The Lancet Planetary Health, Vol 5, Iss 10, Pp e746-e750 (2021) |
| Popis: | Connecting basic data about bats and other potential hosts of SARS-CoV-2 with their ecological context is crucial to the understanding of the emergence and spread of the virus. However, when lockdowns in many countries started in March, 2020, the world's bat experts were locked out of their research laboratories, which in turn impeded access to large volumes of offline ecological and taxonomic data. Pandemic lockdowns have brought to attention the long-standing problem of so-called biological dark data: data that are published, but disconnected from digital knowledge resources and thus unavailable for high-throughput analysis. Knowledge of host-to-virus ecological interactions will be biased until this challenge is addressed. In this Viewpoint, we outline two viable solutions: first, in the short term, to interconnect published data about host organisms, viruses, and other pathogens; and second, to shift the publishing framework beyond unstructured text (the so-called PDF prison) to labelled networks of digital knowledge. As the indexing system for biodiversity data, biological taxonomy is foundational to both solutions. Building digitally connected knowledge graphs of host-pathogen interactions will establish the agility needed to quickly identify reservoir hosts of novel zoonoses, allow for more robust predictions of emergence, and thereby strengthen human and planetary health systems. ispartof: LANCET PLANETARY HEALTH vol:5 issue:10 pages:E746-E750 ispartof: location:Netherlands status: published |
| Databáze: | OpenAIRE |
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