ManureDB is a manure and organic amendment database that contains over 550,000 samples developed by the University of Minnesota. Managing the agronomic, economic, environmental, and logistical challenges and opportunities of manure warranted updates to previously published manure characteristics from the early 2000s. Data use agreements, standardized data templates, and data validation measures were developed prior to data upload into the database to maintain data privacy, data integrity, and FAIR (Findability, Accessibility, Interoperability, and Reusability) principles. Data visualizations and summaries are available on the ManureDB
website for beef, dairy, swine, poultry, horse, and sheep, and a data explorer tab enables CSV downloads of datasets in selected units. The data is being used for farmer benchmarking, agricultural and environmental modeling, and updating ASABE’s Manure Characteristics standard D384.3. A new Minnesota well water database is utilizing this framework to accelerate their project progress.
