Annual International Conference on Data Analysis, Data Quality & Metadata Management (DAMD 2010)

Data that is correct, consistent, timely and coherent could be a key differentiator in these difficult economic times. Organizations recognize the critical importance of their data management capabilities to help achieve their goals for effectively managing information and acknowledge the quantum leap that needs to be made to improve them. Great efforts are made to develop high quality data sets and accompanying metadata, so that individual scientists and organizations can focus their valuable time on the analyses.

It is said that most of CIOs look for an overall information management strategy, reinforcing the need to fully manage their organizations' data and leverage that data for strategic advantage.

Information quality management is not an academic exercise—it is a combination of quality principles, processes and culture transformation required for business performance excellence in the emerging, realized Information Age.

Capturing, representing and processing metadata promises to facilitate the management, consistent use and understanding of data and thus better support the exploitation of available information. Metadata contain information needed to understand and effectively use the data. It is receiving increasing attention from the scientific community. Ecologists, scientific societies, state and federal agencies are recognizing the importance of high quality, well-documented and securely archived data for addressing long-term and broad-scale questions.

A key measure of the quality of the enterprise is the quality of its data within its data management system. The challenge is not simply whether there are data quality issues, nor how to fix them, but how to design these data quality issues out of the IT process from the very beginning. Not only will enforcing data quality make fixing errors faster, it also will make IT system development faster and cheaper to evolve and maintain.

There is a significant need for research and development in this area which accentuates the need for the International Conference on Data Quality. Data Analysis & Metadata Management. Existing work has only partially covered some of the aspects and hence this conference invites researchers, academics, and practitioners to discuss the most important issues of information Quality, Data & Metadata Management.