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Liberating host–virus knowledge from biological dark data

2021-09Artigo científico Acesso aberto
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dc.contributor.authorUpham, Nathan S
dc.contributor.authorPoelen, Jorrit H
dc.contributor.authorPaul, Deborah
dc.contributor.authorGroom, Quentin J
dc.contributor.authorSimmons, Nancy B
dc.contributor.authorVanhove, Maarten P M
dc.contributor.authorBertolino, Sandro
dc.contributor.authorReeder, DeeAnn M
dc.contributor.authorBastos-Silveira, Cristiane
dc.contributor.authorSen, Atriya
dc.contributor.authorSterner, Beckett
dc.contributor.authorFranz, Nico M
dc.contributor.authorGuidoti, Marcus
dc.contributor.authorPenev, Lyubomir
dc.contributor.authorAgosti, Donat
dc.date.accessioned2022-05-03T17:44:50Z
dc.date.available2022-05-03T17:44:50Z
dc.date.issued2021-09
dc.description.abstractConnecting 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationUPHAM NS, POELEN JH, PAUL D, GROOM QJ, SIMMONS NB, VANHOVE MPM, BERTOLINO S, REEDER DM, BASTOS-SILVEIRA C, SEN A, STERNER B, FRANZ N, GUIDOTI M, PENEV L, & AGOSTI D. (2021) Liberating host-virus knowledge from biological dark data.The Lancet Planetary Health, 5No. 10e746–e750pt_PT
dc.identifier.doi10.1016/S2542-5196(21)00196-0pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/52675
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleLiberating host–virus knowledge from biological dark datapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPagee750pt_PT
oaire.citation.issue10pt_PT
oaire.citation.startPagee746pt_PT
oaire.citation.titleThe Lancet Planetary Healthpt_PT
oaire.citation.volume5pt_PT
person.familyNameBastos-Silveira
person.givenNameCristiane
person.identifier.orcid0000-0001-8249-9383
person.identifier.scopus-author-id14059443700
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication6ebcdb88-cbee-4b8d-b6d3-eb078d4583c2
relation.isAuthorOfPublication.latestForDiscovery6ebcdb88-cbee-4b8d-b6d3-eb078d4583c2

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