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201594 https://hdl.handle.net/2286/R.2.N.201594 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2025 141 pages Doctoral Dissertation Academic theses en Gilbert, Edward Erik Franz, Nico Landrum, Leslie Pigg, Kathleen Sterner, Beckett Arizona State University Partial requirement for: Ph.D., Arizona State University, 2025 Field of study: Evolutionary Biology Symbiota is a multi-functional content management system (CMS) designed to aggregate, manage, and mobilize biodiversity data. Over the past 25 years, it has evolved into a community-driven platform, addressing technical and resource challenges faced by many natural history collections. Its adaptability and ease of deployment have made it an effective solution for resource-limited institutions, enhancing data visibility and accessibility across the biodiversity informatics landscape.For over two decades, biodiversity informatics initiatives have aimed to mobilize data from decentralized collections into global knowledge networks. However, the inherent fragmentation of biodiversity data—distributed across thousands of local institutions—has created persistent challenges in achieving interoperability, data currency, and bidirectional feedback between source collections and aggregators. This dissertation documents and advances Symbiota’s evolution from a data publication tool into a full-featured CMS, driven by community needs and large-scale digitization initiatives. To overcome long-standing interoperability limitations, recent advancements introduced an Application Programming Interface-based architecture (API) that supports real-time, bidirectional data exchange across distributed portals. This innovation enables seamless synchronization of occurrence data and the propagation of annotations back to source collections, reducing data latency and enhancing quality. Unlike traditional aggregators, such as the Global Biodiversity Information Facility (GBIF) which primarily function as data sinks, Symbiota portals operate as both data providers and aggregators. This multidirectional data flow fosters greater transparency, improves provenance tracking, and encourages continuous curation by engaged domain specialists. By adopting a decentralized model, Symbiota strikes an effective balance between local control and global integration, ensuring data currency and accuracy. Symbiota’s success highlights the value of community-centered, socially-driven technical models in biodiversity informatics. Its extensible, API-driven architecture offers a blueprint for future biodiversity data frameworks, promoting dynamic, interoperable data ecosystems. By prioritizing engagement, accessibility, and data quality, Symbiota has become a powerful tool for biodiversity data mobilization—demonstrating the transformative potential of decentralized, community-driven aggregation models for large-scale scientific and conservation efforts. Information science Biology Biodiversity Informatics Decentralized Data Networks National History Collections Symbiota Symbiota: A Community-Driven Platform for Biodiversity Data Mobilization