Improving the standardization of wild bee occurrence data: Towards a formal wild bee data standard

Conservation and management of wild bees is hindered by the variety of ways wild bee occurrence data are recorded, managed, and shared. Here, we present solutions to address this issue and introduce The Wild Bee Data Standard, a standardized means of recording and reporting data associated with wild bee occurrences, including physical specimens and photo observations. This standard aligns with contemporary data management practices widely adopted by the broader biodiversity data community. We propose a set of terms for the standard that describe various features of bee occurrences, including collection method and location, taxonomic verification, and final record storage. We emphasize the importance of providing sampling protocol and effort information with wild bee occurrence data and offer guidance to make this a more common practice. We describe how to translate data not currently aligned with the standard to meet its conditions, and how to upload those data to an accessible online repository. We provide case studies, data entry templates, a glossary of terms, and additional resources to guide new users to implementing the standard. We also present a forum, established as a GitHub repository, to support continued development of the standard. Recognizing the significant change this represents for current data practices, we outline the benefits for the bee research and conservation community that will result from improved data standards. We advocate for making all historical, current, and future bee occurrence data openly available to facilitate more rigorous and comprehensive research, conservation, and management of wild bees. This contribution is part of a series developed in association with the U.S. National Native Bee Monitoring Network to standardize bee monitoring practices.

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Publication Details

Journal
Journal of Melittology
Published
2025-09-29
DOI
https://doi.org/10.17161/jom.vi123.23163
Citations
1
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
3.03

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article

Improving the standardization of wild bee occurrence data: Towards a formal wild bee data standard

Nash E. Turley, S. Hollis Woodard, Hannah K. Levenson, Erika M. Tucker et al.
1 citations
Journal of Melittology
Plant and animal studies
3.03
article

Improving the standardization of wild bee occurrence data: Towards a formal wild bee data standard

Nash E. Turley, S. Hollis Woodard, Hannah K. Levenson, Erika M. Tucker, Brianne Du Clos, Ian G. Lane, Clare Maffei, Katja C. Seltmann
article en
1 citations

Abstract

Conservation and management of wild bees is hindered by the variety of ways wild bee occurrence data are recorded, managed, and shared. Here, we present solutions to address this issue and introduce The Wild Bee Data Standard, a standardized means of recording and reporting data associated with wild bee occurrences, including physical specimens and photo observations. This standard aligns with contemporary data management practices widely adopted by the broader biodiversity data community. We propose a set of terms for the standard that describe various features of bee occurrences, including collection method and location, taxonomic verification, and final record storage. We emphasize the importance of providing sampling protocol and effort information with wild bee occurrence data and offer guidance to make this a more common practice. We describe how to translate data not currently aligned with the standard to meet its conditions, and how to upload those data to an accessible online repository. We provide case studies, data entry templates, a glossary of terms, and additional resources to guide new users to implementing the standard. We also present a forum, established as a GitHub repository, to support continued development of the standard. Recognizing the significant change this represents for current data practices, we outline the benefits for the bee research and conservation community that will result from improved data standards. We advocate for making all historical, current, and future bee occurrence data openly available to facilitate more rigorous and comprehensive research, conservation, and management of wild bees. This contribution is part of a series developed in association with the U.S. National Native Bee Monitoring Network to standardize bee monitoring practices.

Journal of Melittology(123)
University of California, Riverside (US), Pennsylvania State University (US), United States Fish and Wildlife Service (US), North Carolina State University (US), University of California, Santa Barbara (US), Flagstaff Medical Center (US)
National Science Foundation, U.S. Department of Agriculture, U.S. Fish and Wildlife Service, National Institute of Food and Agriculture
Openalex Percentile: Top 8%
Plant and animal studies
3.03
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