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

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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.