The IQ Method

Information quality (IQ) theories and frameworks have been increasingly applied to assess, improve and monitor the quality of information products. An important example is the energy domain. Numerous agencies, organizations, institutions, and companies create, collect, and distribute information to help meet the needs of the energy industry. But what are the qualities of their information products? What can be done to address quality issues so that data consumers can trust that the critical data they are relying on are of high quality? To help address these important issues, this work develops the IQ method for combining multiple information sources, each with several dimensions each with its own information quality. The first problem is estimating total world oil reserves by combining estimates obtained from various well-known sources. The second problem is predicting the Hubbert Peak of world oil production by combining prediction data from various sources. Both problems are addressed using the IQ method, an information quality framework that can be applied to a wide range of information assessment problems in the oil industry and beyond.

Autorentext

Dr. Yiliyasi completed his doctoral dissertation at the University of Arkansas at Little Rock and was awarded the Ph.D. degree in May 2012. He holds a M.S. degree in Information Technology and is currently teaching at the University of Arkansas at Little Rock, USA. His scholarly interests focus on information quality, energy, and related areas.