Big-data approaches are necessary to address questions in contemporary ecology and rely mostly on the development of collaborative networks (Nathan et al., 2022) that collect, collate, and standardize data (e.g., Sequeira et al., 2021). In recent years, there has been an enormous increase in animal biologging projects (Watanabe & Papastamatiou, 2023), which yield such "big" datasets of multiparameter data that detail the movements, behavior, physiology, and environmental preferences of a range of aquatic, terrestrial, and aerial animals (Kays et al., 2022;Kays & Wikelski, 2023). These datasets are critical to answer pressing questions about biodiversity conservation in the face of pressures such as climate change (Ellis-Soto et al., 2023) and impacts from fishing (Paolo et al., 2024). Projects use a variety of biologging technologies, from archival tags (i.e., tags that do not relay data remotely and have to be physically recovered to obtain data) to transmitting tags that send data to commercially operated receiving stations (such as satellite or mobile phone networks