期刊
CLINICAL INFECTIOUS DISEASES
卷 73, 期 8, 页码 1537-1539出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/cid/ciab615
关键词
foodborne pathogen; interpretive labor; metadata; whole-genome sequencing
资金
- US Food and Drug Administration (FDA) Center for Food Safety and Applied Nutrition
Open-source DNA sequence databases are beneficial for public health, but incomplete and non-standard metadata can impact interpretative labor costs and foodborne outbreak detection and response. Improving the quality of sequence-associated metadata can lead to earlier detection of emerging food safety hazards and faster response to outbreaks.
Open-source DNA sequence databases have long been touted as beneficial to public health, including the facilitation of earlier detection and response to infectious disease outbreaks. Of critical importance to harnessing these benefits is the metadata that describe general and other domain-specific attributes (eg, collection location, isolate type) of a sample. Unlike the sequence data, metadata are often incomplete and lack adherence to an international standard. Here, we describe the problem posed by such variable and incomplete metadata in terms of interpretative labor costs (the time and energy necessary to make sense of the signal in the genetic data) and the impact such metadata have on foodborne outbreak detection and response. Improving the quality of sequence-associated metadata would allow for earlier detection of emerging food safety hazards and allow faster response to foodborne outbreaks.
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