OVER MANY DECADES, SIGNIFICANT INVESTMENT OF PUBLIC DOLLARS HAVE SUPPORTED RESEARCH TO IMPROVE FERTILIZER MANAGEMENT IN US CORN PRODUCTION BUT NUTRIENT CONTAMINATION OF SURFACE AND GROUND WATER REMAINS A PROBLEM. ALTHOUGH A NUMBER OF IMPORTANT NITROGEN (N) MANAGEMENT STRATEGIES HAVE BEEN DEVELOPED, IT REMAINS DIFFICULT TO PRIORITIZE WHICH PRACTICES ARE MOST IMPORTANT TO DO IN SPECIFIC LOCATIONS OF THE MIDWEST CORN BELT. USE OF THE ORIGINAL DATA IN ANALYSES THAT SYNTHESIZE ACROSS STUDIES IMPROVES A RESEARCHER'S ABILITY TO MAKE RECOMMENDATIONS FOR SITE-SPECIFIC PRACTICES THAT ARE WELL-SUPPORTED BY THE EVIDENCE. INDEED, SCIENTISTS HAVE REACHED NEAR UNIVERSAL AGREEMENT THAT DATA SHARING HAS VALUE AND ADVANCES RESEARCH TOWARD SOLUTIONS TO COMPLEX PROBLEMS. YET, DATA COLLECTION SYSTEMS ARE NOT STANDARDIZED ACROSS STUDIES EVEN IN NARROW FOCUS AREAS SUCH AS TILE DRAINAGE RESEARCH THAT TYPICALLY RELIES ON HIGHLY INSTRUMENTED, LONG-TERM FIELD FACILITIES TO COLLECT A COMMON ARRAY OF MEASUREMENTS THAT CHARACTERIZE HOW N CYCLES BETWEEN CROPS AND SOILS AND NEGATIVELY IMPACTS AIR AND WATER QUALITY. DESPITE SIMILAR EQUIPMENT, DATA ACCESS AND REUSE BY OTHER RESEARCHERS REMAINS DEPENDENT ON INDIVIDUAL AGREEMENTS, FACILITATED BY ONE-TIME TRIAL-AND-ERROR SOLUTIONS FOR DATA TRANSFER. THE UNDERLYING PROBLEM IS A CONTINUED ABSENCE OF A COORDINATED, FOCUSED INFRASTRUCTURE OF EQUIPMENT AND PEOPLE TO SUPPORT AGRICULTURAL RESEARCH DATA SHARING AND ROUTINE SYNTHESIS INTO PRACTICE AND POLICY."KNOWLEDGEBASES" ARE "ORGANIZED AND DYNAMIC COLLECTIONS OF INFORMATION ABOUT A PARTICULAR SUBJECT" AND DIFFER FROM REPOSITORIES IN THAT MULTIPLE DATA SOURCES ARE NOT JUST STORED BUT CURATED BY EXPERTS TO FACILITATE FUTURE RESEARCH. AS SUCH, KNOWLEDGEBASES ARE EXPECTED TO PROVIDE A CONSISTENT AND RELIABLE SOURCE OF SCIENTIFIC KNOWLEDGE. CREATING A KNOWLEDGEBASE FOR LEGACY DATA FROM LONG-TERM TILE DRAINAGE RESEARCH WILL PERMIT BETTER USE OF RESULTS TO MAKE INFORMED DECISIONS REGARDING FARM MANAGEMENT AND NATURAL RESOURCE STEWARDSHIP. OUR OVERARCHING GOAL IS TO CREATE COMMUNITY-DRIVEN DATA INFRASTRUCTURE AND DEMONSTRATE ITS ABILITY TO GENERATE NEW KNOWLEDGE. SPECIFIC OBJECTIVES ARE TO:1. RECOVER EXISTING, BUT CURRENTLY UNAVAILABLE, LONG-TERM, AT-RISK-HIGH-VALUE DATABASES AND DATASETS INTO FORMATS THAT MAKE IT FINDABLE, ACCESSIBLE, INTEROPERABLE AND RETRIEVABLE (FAIR) BY A SECONDARY USER;2. CHARACTERIZE AND ADDRESS COMMUNITY (DATA CREATOR AND SECONDARY USER) NEEDS TO FACILITATE REAL-TIME SHARING OF DATA FROM N CYCLING LOSS STUDIES;3. CONDUCT SYNTHESES/ANALYSES OF DATA AGGREGATED IN THE KNOWLEDGEBASE TO PRODUCE NEW INSIGHTS AND DEMONSTRATE VALUE OF KNOWLEDGEBASES IN AGRICULTURAL RESEARCH, AND4. ENCOURAGE DATA REUSE AND EXPAND KNOWLEDGEBASE CONTENT BY PUBLISHING DATASETS AND PUBLICIZING AND PROMOTING THE NUTRINET KNOWLEDGEBASE.BY RECOVERING HIGH RESOLUTION DATA FROM &GT;300 SITE-YEARS OF DRAINAGE FACILITY RESEARCH WITH ASSOCIATED MEASURES OF CROP PERFORMANCE, SOIL NUTRIENT AND WATER CYCLING, AND OTHER ENVIRONMENTAL MEASURES, WE WILL DEMONSTRATE HOW EXPERT CURATION OF DATA CREATES INCREASED VALUE FOR PUBLIC INVESTMENTS IN AGRICULTURAL RESEARCH. DATA WILL BE ARCHIVED AS PUBLICATIONS IN A REPOSITORY BUT WILL BE LINKED TO A WEB-BASED INTERFACE FOR EASE OF USE. PROOF-OF-CONCEPT SYNTHESES USING THE NUTRINET KNOWLEDGEBASE WILL FOCUS ON REGIONAL AND LONGITUDINAL SYNTHESES THAT OFFER NEW INSIGHTS INTO MANAGEMENT PRACTICES THAT MAINTAIN PRODUCTIVITY, WHILE REDUCING AGRICULTURE'S ENVIRONMENTAL FOOTPRINT.