Science and Technology Issues Relating to Data Quality in C2 Systems
Final rept. Aug 2010-Jan 2011
INSTITUTE FOR DEFENSE ANALYSES ALEXANDRIA VA
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A C2 system depends crucially on having high-quality underlying data. There is still no best set of data quality dimensions and metrics for C2. We consider the sixteen data quality criteria identified by the Total Data Quality Management TDQM research community, as well as the dimensions identified by the ISO 8000 standard. We map these into the criteria commonly applied by the intelligence community IC, and those identified by various parts of the US DoD. The ICs usability criterion covers several different concepts that are difficult to measure. Meanwhile, the DoDs Net Centric Data Strategy NCDS arguably does not adequately address the notion of data timeliness. The NCDS covers some important factors such as believability and reputation, but the coverage is primarily limited to using authoritative, vetted data sources. This does not address important situations where data come from a variety of sources with varying degrees of reliability. On the other hand, the TDQM criteria do not adequately capture the notions of readiness and adaptability. Once an accepted set of data quality characteristics and associated metrics for C2 is available, there is a good case for explicitly incorporating it into C2 system operations.
- Administration and Management
- Command, Control and Communications Systems