MODERN PLANT BREEDING FUNDAMENTALLY RELIES ON THE OBSERVATION, ACQUISITION, AND APPLICATION OF DATA TO MAKE INFORMED DECISIONS ABOUT THE SELECTION AND RELEASE OF VARIETIES FOR FARMERS AROUND THE WORLD. ALTHOUGH THERE HAVE BEEN IMPROVEMENTS IN BOTH GENETICS AND AGRONOMICS, THE DESIGN AND COLLECTION OF DATA WITHIN MODERN FIELD EXPERIMENTS HAS SEEN MINIMAL ADVANCEMENT OVER THE PAST DECADES. INDIVIDUAL PLOTS ARE STILL PRIMARILY REFERENCED BY RELATIVE LOCATION IN A ROW AND COLUMN DESIGN AND DATA IS COLLECTED WITHIN THE CONSTRAINTS AND LIMITATIONS OF THIS LAYOUT. WITH STATE-OF-THE-ART GEO-POSITION SYSTEMS, WE CAN NOW UNDERSTAND, COLLECT, AND ANALYZE PHENOTYPIC DATA NOT ONLY IN A GENERIC GRID PATTERN, BUT IN THE DYNAMIC GEOSPATIAL CONTEXT IN WHICH IT ACTUALLY EXISTS. WE PROPOSE A TRANSFORMATIVE CONCEPTUAL SHIFT IN BOTH THE TYPE AND MEANS OF DATA COLLECTION FOR PLANT BREEDING FIELD TRIALS. TO ENABLE THE COLLECTION, STORAGE, ANALYSIS, AND INTERPRETATION OF PHENOTYPIC DATA ON A GEOSPATIAL BASIS, WE WILL DEFINE OPEN GEOSPATIAL DATA STRUCTURES, INTEGRATE SUPPORT AND ANALYTICAL TOOLS INTO CASSAVABASE, AND CREATE THE BREEDER-FRIENDLY TOOLS NECESSARY TO COLLECT AND UTILIZE GEOSPATIAL DATA IN THE FIELD. INCREASING THE INTEGRITY, ACCESSIBILITY, AND AMOUNT OF DATA AVAILABLE TO BREEDERS WILL ALLOW FOR MORE ACCURATE AND SPECIFIC SELECTION DECISIONS WITH INCREASED SPEED. SIMPLIFYING DATA COLLECTION AND ANALYSIS WORKFLOWS FOR BREEDERS WILL ENABLE THE INCREASED DATA INTEGRITY ON LARGER POPULATION SIZES REQUIRED TO PRODUCE ADEQUATE GENETIC GAIN TO FEED THE WORLD. DEVELOPING A FRAMEWORK FOR GEOSPATIAL DATA WILL BENEFIT ALL LIFE SCIENCES THAT RELY ON FIELD STUDIES.