Assessments as to how true the attribute values may be. This may refer to field checks, cross-referencing, statistical analyses, parallel independent measures, etc. Precision An indication as to how finely your data was recorded, such as digitizing using single or double precision. Note that the precision of the value in no way reflects its accuracy or truthfulness. Limiting your documentation to the required portions of Sections 1 and 7, or even all required fields, will limit the value of your effort and the metadata records you produce.
Human review is the only thing that matters.
The purpose of these fields is to indicate how coarsely or finely information was recorded. These values represent the minimum possible difference between coordinate values. Basically, the idea is to let prospective users know how well you are able to nail the actual time period of content. 10.Defining your data set too finely or too broadly It s easy to become overwhelmed trying to individually document every data table and resource. On the other hand, trying to cover all of your data resources with a single metadata record will drive both you and your data users crazy.