Dynamic data maintenance for quality data, quality research

Dilruba Ozmen-Ertekin, Kaan Ozbay

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)282-293
Number of pages12
JournalInternational Journal of Information Management
Volume32
Issue number3
DOIs
StatePublished - Jun 2012

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

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