Robust data management

Data shows us what really works

"Data management" is the concept that allows us to gather, interpret and analyze inputs, outputs and outcomes.  This process will show what really works and how we can learn from mistake; how we generalize and replicate success.

 

Features

1Data availability and acquisition

2Quantification of inputs, outputs, outcomes

3Generalizable and replicable research

 

Overview

The utility of best product and practices and the availability of local, professional support are critically important but no less important is reliable and valid research that documents, analyzes and evaluates the paradigm.     It is important to create an atmosphere that attracts researchers and provide opportunities for longitudinal and cross-sectional studies that are either quantitative or qualitative in approach.  The huge levels of investment in innovation and to further agricultural production must be driven by robust, reliable, valid, generalizable, replicable, parsimonious and important data.