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Standardizing data reporting in the research community to enhance the utility of open data for SARS-CoV-2 wastewater surveillance
Faculty Scholarship
  • Jill S. McClary-Gutierrez, University of Notre Dame
  • Zachary T. Aanderud, Brigham Young University
  • Mitham Al-Faliti, Howard University
  • Claire Duvallet, Biobot Analytics, Inc.
  • Raul Gonzalez, Hampton Roads Sanitation District
  • Joe Guzman, Health Screening of Orange County
  • Rochelle H. Holm, University of Louisville
  • Michael A. Jahne, United States Environmental Protection Agency
  • Rose S. Kantor, University of California, Berkeley
  • Panagis Katsivelis, Venthic Technologies
  • Katrin Gaardbo Kuhn, University of Oklahoma Health Sciences Center
  • Laura M. Langan, Baylor University
  • Cresten Mansfeldt, University of Colorado Boulder
  • Sandra L. McLellan, University of Wisconsin-Milwaukee
  • Lorelay M. Mendoza Grijalva, Stanford University
  • Kevin S. Murnane, Louisiana State University in Shreveport
  • Colleen C. Naughton, UC Merced
  • Aaron I. Packman, Northwestern University
  • Sotirios Paraskevopoulos, KWR Water Research Institute
  • Tyler S. Radniecki, Oregon State University
  • Fernando A. Roman, UC Merced
  • Abhilasha Shrestha, University of Illinois at Chicago
  • Lauren B. Stadler, Rice University
  • Joshua A. Steele, Southern California Coastal Water Research Project
  • Brian M. Swalla, IDEXX Laboratories Incorporated
  • Peter Vikesland, Virginia Polytechnic Institute and State University
  • Brian Wartell, University of Maryland, Baltimore (UMB)
  • Carol J. Wilusz, Colorado State University
  • Judith Chui Ching Wong, National Environment Agency, Singapore
  • Alexandria B. Boehm, Stanford University
  • Rolf U. Halden, Arizona State University
  • Kyle Bibby, University of Notre Dame
  • Jeseth Delgado Vela, Howard University
Document Type
Article
Publication Date
9-1-2021
Department
Medicine
Disciplines
Abstract

SARS-CoV-2 RNA detection in wastewater is being rapidly developed and adopted as a public health monitoring tool worldwide. With wastewater surveillance programs being implemented across many different scales and by many different stakeholders, it is critical that data collected and shared are accompanied by an appropriate minimal amount of meta-information to enable meaningful interpretation and use of this new information source and intercomparison across datasets. While some databases are being developed for specific surveillance programs locally, regionally, nationally, and internationally, common globally-adopted data standards have not yet been established within the research community. Establishing such standards will require national and international consensus on what meta-information should accompany SARS-CoV-2 wastewater measurements. To establish a recommendation on minimum information to accompany reporting of SARS-CoV-2 occurrence in wastewater for the research community, the United States National Science Foundation (NSF) Research Coordination Network on Wastewater Surveillance for SARS-CoV-2 hosted a workshop in February 2021 with participants from academia, government agencies, private companies, wastewater utilities, public health laboratories, and research institutes. This report presents the primary two outcomes of the workshop: (i) a recommendation on the set of minimum meta-information that is needed to confidently interpret wastewater SARS-CoV-2 data, and (ii) insights from workshop discussions on how to improve standardization of data reporting.

DOI
10.1039/d1ew00235j
ORCID
0000-0001-8849-1390
Citation Information
Jill S. McClary-Gutierrez, Zachary T. Aanderud, Mitham Al-Faliti, Claire Duvallet, et al.. "Standardizing data reporting in the research community to enhance the utility of open data for SARS-CoV-2 wastewater surveillance" (2021)
Available at: http://works.bepress.com/rochelle-holm/38/