title: Big data or bust: realizing the microbial genomics revolution.
abstract: Pathogen genomics has the potential to transform the clinical and public health management of infectious diseases through improved diagnosis, detection and tracking of antimicrobial resistance and outbreak control. However, the wide-ranging benefits of this technology can only fully be realized through the timely collation, integration and sharing of genomic and clinical/epidemiological metadata by all those involved in the delivery of genomic-informed services. As part of our review on bringing pathogen genomics into 'health-service' practice, we undertook extensive stakeholder consultation to examine the factors integral to achieving effective data sharing and integration. Infrastructure tailored to the needs of clinical users, as well as practical support and policies to facilitate the timely and responsible sharing of data with relevant health authorities and beyond, are all essential. We propose a tiered data sharing and integration model to maximize the immediate and longer term utility of microbial genomics in healthcare. Realizing this model at the scale and sophistication necessary to support national and international infection management services is not uncomplicated. Yet the establishment of a clear data strategy is paramount if failures in containing disease spread due to inadequate knowledge sharing are to be averted, and substantial progress made in tackling the dangers posed by infectious diseases.
authors.affiliation: PHG Foundation, Cambridge, UK.
authors.forename: Sobia
authors.initials: S
authors.lastname: Raza
authors.affiliation: PHG Foundation, Cambridge, UK.
authors.forename: Leila
authors.initials: L
authors.lastname: Luheshi
mesh_terms: D003140:Communicable Disease Control / Q000379:methods* / Q000639:trends; D003141:Communicable Diseases / Q000382:microbiology*; D064349:Genome, Microbial / Q000235:genetics; D023281:Genomics; D006801:Humans; D033181:Information Dissemination; D011634:Public Health / Q000639:trends*
keywords: data sharing; genomic data; pathogen genomics