| Literature DB >> 33622857 |
Pajau Vangay1, Josephine Burgin2, Anjanette Johnston3, Kristen L Beck4, Daniel C Berrios5, Kai Blumberg6, Shane Canon1, Patrick Chain7, John-Marc Chandonia1, Danielle Christianson1, Sylvain V Costes5, Joan Damerow1, William D Duncan1, Jose Pablo Dundore-Arias8, Kjiersten Fagnan1, Jonathan M Galazka5, Sean M Gibbons9,10, David Hays1, Judson Hervey11, Bin Hu7, Bonnie L Hurwitz6, Pankaj Jaiswal12, Marcin P Joachimiak1, Linda Kinkel13, Joshua Ladau1, Stanton L Martin14, Lee Ann McCue15, Kayd Miller1, Nigel Mouncey1, Chris Mungall1, Evangelos Pafilis16, T B K Reddy1, Lorna Richardson2, Simon Roux17, Lynn M. Schriml18, Justin P Shaffer19, Jagadish Chandrabose Sundaramurthi1, Luke R Thompson20,21, Ruth E Timme22, Jie Zheng23, Elisha M Wood-Charlson1, Emiley A Eloe-Fadrosh24.
Abstract
Microbiome samples are inherently defined by the environment in which they are found. Therefore, data that provide context and enable interpretation of measurements produced from biological samples, often referred to as metadata, are critical. Important contributions have been made in the development of community-driven metadata standards; however, these standards have not been uniformly embraced by the microbiome research community. To understand how these standards are being adopted, or the barriers to adoption, across research domains, institutions, and funding agencies, the National Microbiome Data Collaborative (NMDC) hosted a workshop in October 2019. This report provides a summary of discussions that took place throughout the workshop, as well as outcomes of the working groups initiated at the workshop.Keywords: data standards; metadata; microbiome; ontology
Year: 2021 PMID： 33622857 DOI： 10.1128/mSystems.01194-20
Source DB: PubMed Journal: mSystems ISSN： 2379-5077 Impact factor: 6.496