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The collection, archiving and use of biodiversity data depend on a network of pipelines herein called the Biodiversity Data Enterprise (BDE) and best understood globally through the work of the  Global Biodiversity Information Facility  (GBIF). Efforts to sustain and grow the BDE require information about the data pipeline and the infrastructure that supports it. A host of metrics from GBIF, including institutional participation (member countries, institutional contributors, data publishers), biodiversity coverage (occurrence records, species, geographic extent, data sets) and data usage (records downloaded, published papers using the data) ( Miller 2021 ), document the rapid growth and successes of the BDE ( GBIF Secretariat 2022 ).  Heberling et al. (2021)  make a convincing case that the data integration process is working.The Biodiversity Information Standards ' (TDWG)  Basis of Record    term provides information about the underlying infrastructure. It categorizes the kinds of processes* 1  that teams undertake to capture biodiversity information and GBIF quantifies their contributions* 2  (Table  1 ). Currently 83.4% of observations come from human observations, of which 63% are of birds. Museum preserved specimens account for 9.5% of records. In both cases, a combination of volunteers (who make observations, collect specimens, digitize specimens, transcribe specimen labels) and professionals work together to make records available.To better understand how the BDE is working, we suggest that it would be of value to know the number of contributions and contributors and their hours of engagement for each data set. This can help the community address questions such as, "How many volunteers do we need to document birds in a given area?" or "How much professional support is required to run a camera trap network?" For example, millions of observations were made by tens of thousands of observers in two recent BioBlitz events, one called Big Day, focusing on birds, sponsored by the Cornell Laboratory of Ornithology and the other called the City Nature Challenge, addressing all taxa, sponsored jointly by the California Academy of Sciences and the Natural History Musuems of Los Angeles County (Table  2 ). In our presentation we will suggest approaches to deriving metrics that could be used to document the collaborations and contribution of volunteers and staff using examples from both  Human Observation  ( eBird ,  iNaturalist ) and  Preserved Specimen  ( DigiVol,   Notes from Nature ) record types. The goal of the exercise is to start a conversation about how such metrics can further the development of the BDE.

Can Biodiversity Data Scientists Document Volunteer and Professional Collaborations and Contributions in the Biodiversity Data Enterprise?