Some points to remember while generating metadata

Some problems which should be kept in mind while generating metadata [13] :

• Not doing it ! The costs of not creating metadata are much bigger than the costs, costs of not creating metadata: loss of information with staff changes, data redundancy, data conflicts, liability, misapplication, and decisions based upon poorly documented data.
• Don't try to cover all of the data resources with a single metadata record. A good rule of thumb is to consider how the data resource is used as a component of a broader data set or as a stand-alone product that may be mixed and matched with a range of other data resources.
• Human review matters. The whole process of creating metadata should not rely solely on automated tools.
• Assessments of consistency, accuracy, completeness, and precision about data are quite important. The methods for controlling the data quality include field checks, cross-referencing, and statistical analysis, etc.
• Metadata should be recorded throughout the life of a data set, from planning (entities and attributes), to digitizing (abscissa/ordinate resolution), to analysis (processing history), through publication (publication date).