摘要：Combining data into a centralized, searchable, and linked platform will provide a dataexploration platform to agricultural stakeholders and researchers for better agricultural decisionmaking, thus fully utilizing existing data and preventing redundant research. Such a data repositoryrequires readiness to share data, knowledge, and skillsets and working with Big Data infrastructures.With the adoption of new technologies and increased data collection, agricultural workforces needto update their knowledge, skills, and abilities. The partnerships for data innovation (PDI) effortintegrates agricultural data by efficiently capturing them from field, lab, and greenhouse studies usinga variety of sensors, tools, and apps and provides a quick visualization and summary of statistics forreal-time decision making. This paper aims to evaluate and provide examples of case studies currentlyusing PDI and use its long-term continental US database (18 locations and 24 years) to test the covercrop and grazing effects on soil organic carbon (SOC) storage. The results show that legume and rye(Secale cereale L.) cover crops increased SOC storage by 36% and 50%, respectively, compared with oat(Avena sativa L.) and rye mixtures and low and high grazing intensities improving the upper SOC by69–72% compared with a medium grazing intensity. This was likely due to legumes providing a morefavorable substrate for SOC formation and high grazing intensity systems having continuous manuredeposition. Overall, PDI can be used to democratize data regionally and nationally and therefore canaddress large-scale research questions aimed at addressing agricultural grand challenges.
关键词：temporal;spatial;remote sensing;precision agriculture;Big Data
