Science and Technology Issues Relating to Data Quality in C2 Systems

摘要

A Command and Control (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 various sources of data quality criteria, such as the 16 data quality dimensions identified by the Total Data Quality Management (TDQM) research community, and the dimensions identified by the ISO 8000 and 25012 standards. We map these dimensions against the criteria commonly applied by the intelligence community (IC) and those identified by various parts of the U.S. Department of Defense, and compare them in terms of relevance to C2. We also describe metrics for these data quality dimensions, and discuss examples of data quality issues in existing C2 systems that have drastic real-world consequences. We examine three important characteristics relevant to C2: interoperability, data volume, and trustworthiness, and then identify open research areas. We conclude that once an accepted set of data quality characteristics and associated metrics for C2 is available, there is good cause for explicitly incorporating them into current and future C2 systems. The presentation includes briefing charts.