Comparative Study of Data Quality Dimensions for Data Warehouse Development: A Survey

Due to the increasing complexity of data warehouse (DW), continuous attention must be paid for evaluation of their quality throughout their design and development. DW quality depends on the quality of all requirements, conceptual, logical and physical models used for DW design. Therefore, identification of various data quality (DQ) dimensions in those phase of DW development are very much needed.

[1]  A. Gosain,et al.  Towards data warehouse business quality through requirements elicitation , 2008, 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT).

[2]  Naomie Salim,et al.  Towards Data Quality into the Data Warehouse Development , 2011, 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing.

[3]  Heinrich C. Mayr,et al.  Information Systems: Modeling, Development, and Integration, Third International United Information Systems Conference, UNISCON 2009, Sydney, Australia, April 21-24, 2009. Proceedings , 2009, International United Information Systems Conference.

[4]  Hongjun Lu,et al.  Conceptual Modeling – ER 2004 , 2004, Lecture Notes in Computer Science.

[5]  Alan R. Hevner,et al.  Integrated decision support systems: A data warehousing perspective , 2007, Decis. Support Syst..

[6]  Frada Burstein,et al.  Quality of data model for supporting mobile decision making , 2007, Decis. Support Syst..

[7]  Anjana Gosain,et al.  Informational Scenarios for Data Warehouse Requirements Elicitation , 2004, ER.

[8]  Zahir Tari,et al.  On the Move to Meaningful Internet Systems: OTM 2008 Workshops OTM Confederated International Workshops and Posters, ADI, AWeSoMe, COMBEK, EI2N, IWSSA, ... Applications, incl. Internet/Web, and HCI) , 2008 .

[9]  Adriana Marotta,et al.  Data warehouse design: a schema-transformation approach , 2002, 12th International Conference of the Chilean Computer Science Society, 2002. Proceedings..

[10]  Kawaljeet Singh,et al.  A Descriptive Classification of Causes of Data Quality Problems in Data Warehousing , 2010 .

[11]  N. ElGamal,et al.  Towards a data warehouse testing framework , 2012, 2011 Ninth International Conference on ICT and Knowledge Engineering.

[12]  Matteo Golfarelli.  From User Requirements to Conceptual Design in Warehouse Design: A Survey , 2010 .

[13]  Richard Y. Wang,et al.  Data quality assessment , 2002, CACM.

[14]  Martin D. Solomon.  Ensuring A Successful Data Warehouse Initiative , 2005, Inf. Syst. Manag..

[15]  Darja Solodovnikova.  Metadata to Support Data Warehouse Evolution , 2008, ISD.

[16]  David Marco,et al.  Building and Managing the Meta Data Repository: A Full Lifecycle Guide , 2000 .

[17]  Anjana Gosain,et al.  An approach to engineering the requirements of data warehouses , 2008, Requirements Engineering.

[18]  Axel van Lamsweerde,et al.  Goal-Oriented Requirements Engineering: A Guided Tour , 2001, RE.

[19]  Larry P. English.  Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits , 1999 .

[20]  Baba Piprani,et al.  A Model for Data Quality Assessment , 2008, OTM Workshops.

[21]  Bogumila Hnatkowska,et al.  Feasibility Analysis of MDA-based Database Design , 2006, 2006 International Conference on Dependability of Computer Systems.

[22]  Matthias Jarke,et al.  Dwq : Esprit Long Term Research Project, No 22469 Data Warehouse Quality: a Review of the Dwq Project , 2022 .

[23]  Rao R. Nemani,et al.  A Framework for Data Quality in Data Warehousing , 2009, UNISCON.

[24]  Jaelson Brelaz de Castro,et al.  Enhancing Data Warehouse Design with the NFR Framework , 2002, WER.

[25]  Ralph Kimball,et al.  The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom , 1998 .

[26]  Tok Wang Ling,et al.  Conceptual Modeling – ER ’98 , 1998, Lecture Notes in Computer Science.

[27]  Matthias Jarke,et al.  Design and Analysis of Quality Information for Data Warehouses , 1998, ER.

[28]  J. William Semich.  Four steps to working Web servers , 1995 .

[29]  Alberto Abelló,et al.  Research in data warehouse modeling and design: dead or alive? , 2006, DOLAP '06.

[30]  Graeme G. Shanks,et al.  Stakeholder Perceptions of Data Quality in a Data Warehouse Environment , 1999, Aust. Comput. J..

[31]  Martin J. Eppler.  Managing Information Quality , 2003 .

[32]  Giri Kumar Tayi,et al.  Enhancing data quality in data warehouse environments , 1999, CACM.

[33]  Martin Staudt,et al.  Metadata standards for data warehousing: open information model vs. common warehouse metadata , 2000, SGMD.

[34]  Matthias Jarke,et al.  Architecture and Quality in Data Warehouses: An Extended Repository Approach , 1999, Information Systems.

[35]  S. Sumathi,et al.  Data Marts and Data Warehouse , 2006 .

[36]  Neil Foshay,et al.  Does data warehouse end-user metadata add value? , 2007, CACM.

[37]  Markus Helfert,et al.  A Strategy for Managing Data Quality in Data Warehouse Systems , 2001, IQ.