METADATA QUALITY EVALUATION OF SECONDARY DATA SOURCES
Journal Title: International Journal for Quality Research - Year 2011, Vol 5, Issue 2
Abstract
Quite some researchers use data sources collected by others for their own investigations. Because of this choice, the research becomes highly dependent on the quality of the secondary data sources used. Therefore, it is important that, prior to use, one is able to check the quality of secondary data sources in a systematic and standardized way. This paper describes the development of a procedure for the evaluation of the quality of the metadata of secondary sources. In it two different views on metadata quality are distinguished. The first view focuses on quality aspects essential for the delivery of the source, whereas the second view predominantly focuses on the conceptual metadata aspects. The quality is determined with a checklist. The approach, originally developed for secondary data sources used for statistics, is applicable to all areas of research that make use of secondary data sources.
Authors and Affiliations
Piet Daas, Saskia Ossen
AUTHENTIC LEADERSHIP IN EDUCATIONAL INSTITUTIONS
This work investigates authentic leadership models in the organizational culture of a school. The aim of this quantitative research is to define the factors of authentic leadership in educational institutions in order to...
QUALITY LEADERS - LEARNING FROM THE DEMING PRIZE WINNERS IN INDIA
Different governments and professional agencies have set up a number of awards to recognize and reward quality initiatives. Deming Prize is one such award and ever since it was open for companies from outside Japan, maxi...
IDENTIFICATION OF STRENGTH AND WEAKNESSES OF INDIAN MANUFACTURING SMES USING AHP APPROACH
This paper empirically determines the extent to which the criteria of total quality management (TQM) are achieved in small- and medium-sized enterprises (SMEs) in Vidharbha region of state Maharashtra in India. These cri...
A STATISTICAL CONCEPT IN DETERMINATION OF THRESHOLD VALUE FOR FUTURE DIAGNOSIS IN MTS: AN ALTERNATIVE TO TAGUCHI’S LOSS FUNCTION APPROACH
Mahalanobis-Taguchi System (MTS) is a pattern information technology, which has been used in different diagnostic applications to make quantitative decisions by constructing a multivariate measurement scale using data an...
IDENTIFICATION AND TRACKING COSTS IN ORGANIZATION
Lake Skadar is located on the Yugoslav-Albanian border. The lake is the largest at the Balkan and has a surface area which fluctuates seasonally from 370 to 600 km2. Although its precise origin is unknown, the lake proba...