REGULATORS OF TIMELINESS DATA QUALITY DIMENSION FOR CHANGING DATA QUALITY IN INFORMATION MANUFACTURING SYSTEM (IMS)

The information manufacturing system (IMS) is the information system that manufactures information from raw data. This system works in both real time and nonreal time environment in the real world organizations for providing information or decision support. Delivered information from the information manufacturing system could be poor quality for the timeliness and other objective data quality dimensions such as completeness and accuracy. Further, completeness and accuracy can be changed for the timeliness data quality dimension. This data quality dimension is regulated by some of the factors in general. Each of the general regulating factors of timeliness may not play the regulating role for changing data quality in IMS. Therefore, the purpose of this paper is to sort out those regulators of timeliness data quality dimension.

[1]  Pedro R. Falcone Sampaio,et al.  Expressing and Processing Timeliness Quality Aware Queries: The DQ2L Approach , 2006, ER.

[2]  Jorge Bernardino,et al.  Real-time data warehouse loading methodology , 2008, IDEAS '08.

[3]  Chiara Francalanci,et al.  Time-Related Factors of Data Quality in Multichannel Information Systems , 2003, J. Manag. Inf. Syst..

[4]  Richard Y. Wang,et al.  Data Quality , 2000, Advances in Database Systems.

[5]  Surajit Chaudhuri,et al.  An overview of data warehousing and OLAP technology , 1997, SGMD.

[6]  Dimitri Theodoratos,et al.  Data Currency Quality Factors in Data Warehouse Design , 1999, DMDW.

[7]  A Min Tjoa,et al.  Modeling temporal consistency in data warehouses , 2001, 12th International Workshop on Database and Expert Systems Applications.

[8]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[9]  Stuart E. Madnick,et al.  Data quality requirements analysis and modeling , 2011, Proceedings of IEEE 9th International Conference on Data Engineering.

[10]  Richard Y. Wang,et al.  Modeling Information Manufacturing Systems to Determine Information Product Quality Management Scien , 1998 .

[11]  Ying Hu,et al.  Supporting Time-Constrained SQL Queries in Oracle , 2007, VLDB.

[12]  Markus Helfert,et al.  Analyzing Data Quality Trade-Offs in Data-Redundant Systems , 2007 .

[13]  Mokrane Bouzeghoub,et al.  Modeling the Data Warehouse Refreshment Process as a Workflow Application , 1999, DMDW.

[14]  Zhiping Walter,et al.  A framework for data warehouse refresh policies , 2006, Decis. Support Syst..

[15]  Panos Vassiliadis,et al.  Towards Quality-oriented Data Warehouse Usage and Evolution , 2000, Inf. Syst..

[16]  Chiara Francalanci,et al.  A Self-monitoring System to Satisfy Data Quality Requirements , 2005, OTM Conferences.

[17]  Pedro R. Falcone Sampaio,et al.  Incorporating the Timeliness Quality Dimension in Internet Query Systems , 2005, WISE Workshops.

[18]  Susan V. Vrbsky A Data Model for Approximate Query Processing of Real-Time Databases , 1996, Data Knowl. Eng..

[19]  Carlo Batini,et al.  Data Quality: Concepts, Methodologies and Techniques , 2006, Data-Centric Systems and Applications.