Abstract
Just like any other scientific research field, the value of data quality is undisputed in the field of transportation. From policy planning to performance evaluation, from model development to impact studies, good quality data is essential to generate ideas and clear-cut solutions to be implemented by transportation professionals and decision makers. In order to improve scientific data quality and function within a continuous quality assessment and management framework, research and development organizations and agencies constantly look for the latest methodologies and technological tools of data management. The New York Metropolitan Transportation Council (NYMTC), for example, has awarded a research project titled "Improvements on NYMTC Data Products" to the authors of this paper in an effort to modernize the existing data products (i.e., reports and brochures, both printed and online) and improve the communication between the agency and the public. The main goal of the research project was to perform a through review and examination of NYMTC data products to identify specific issues about the existing data products, website and the current data maintenance process at NYMTC, and then suggest appropriate solutions, both data and website, and process oriented. This paper reports the results from this research project by giving special emphasis to the issues and solutions related to the data maintenance process.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 282-293 |
| Number of pages | 12 |
| Journal | International Journal of Information Management |
| Volume | 32 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 2012 |
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Keywords
- Data life cycle
- Data quality
- Dynamic data maintenance
- Total quality management
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
- Library and Information Sciences
Cite this
Dynamic data maintenance for quality data, quality research. / Ozmen-Ertekin, Dilruba; Ozbay, Kaan.
In: International Journal of Information Management, Vol. 32, No. 3, 06.2012, p. 282-293.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Dynamic data maintenance for quality data, quality research
AU - Ozmen-Ertekin, Dilruba
AU - Ozbay, Kaan
PY - 2012/6
Y1 - 2012/6
N2 - Just like any other scientific research field, the value of data quality is undisputed in the field of transportation. From policy planning to performance evaluation, from model development to impact studies, good quality data is essential to generate ideas and clear-cut solutions to be implemented by transportation professionals and decision makers. In order to improve scientific data quality and function within a continuous quality assessment and management framework, research and development organizations and agencies constantly look for the latest methodologies and technological tools of data management. The New York Metropolitan Transportation Council (NYMTC), for example, has awarded a research project titled "Improvements on NYMTC Data Products" to the authors of this paper in an effort to modernize the existing data products (i.e., reports and brochures, both printed and online) and improve the communication between the agency and the public. The main goal of the research project was to perform a through review and examination of NYMTC data products to identify specific issues about the existing data products, website and the current data maintenance process at NYMTC, and then suggest appropriate solutions, both data and website, and process oriented. This paper reports the results from this research project by giving special emphasis to the issues and solutions related to the data maintenance process.
AB - Just like any other scientific research field, the value of data quality is undisputed in the field of transportation. From policy planning to performance evaluation, from model development to impact studies, good quality data is essential to generate ideas and clear-cut solutions to be implemented by transportation professionals and decision makers. In order to improve scientific data quality and function within a continuous quality assessment and management framework, research and development organizations and agencies constantly look for the latest methodologies and technological tools of data management. The New York Metropolitan Transportation Council (NYMTC), for example, has awarded a research project titled "Improvements on NYMTC Data Products" to the authors of this paper in an effort to modernize the existing data products (i.e., reports and brochures, both printed and online) and improve the communication between the agency and the public. The main goal of the research project was to perform a through review and examination of NYMTC data products to identify specific issues about the existing data products, website and the current data maintenance process at NYMTC, and then suggest appropriate solutions, both data and website, and process oriented. This paper reports the results from this research project by giving special emphasis to the issues and solutions related to the data maintenance process.
KW - Data life cycle
KW - Data quality
KW - Dynamic data maintenance
KW - Total quality management
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U2 - 10.1016/j.ijinfomgt.2011.11.003
DO - 10.1016/j.ijinfomgt.2011.11.003
M3 - Article
VL - 32
SP - 282
EP - 293
JO - International Journal of Information Management
JF - International Journal of Information Management
SN - 0268-4012
IS - 3
ER -