Comparison of metadata quality in open data portals using the Analytic Hierarchy Process |
| |
| Institution: | 1. Université de Lorraine, CRAN, UMR 7039, Campus Sciences, BP 70239, Vanduvre-lès-Nancy F-54506, France;2. CNRS, CRAN, UMR 7039, France;3. University of Luxembourg, Interdisciplinary Centre for Security, Reliability & Trust, 4 rue Alphonse Weicker, Luxembourg L-2721, Luxembourg;4. Vienna University of Economics and Business, Institute for Information Business, Welthandelsplatz 1 1020, Vienna, Austria;1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Czech Republic;2. University of Ghana Business School, University of Ghana, Accra, Ghana;1. School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Australia;2. Department of Public Administration, College of Public Policy, The University of Texas at San Antonio, United States;1. Center for Technology in Government, University at Albany, Albany, NY, USA;2. Department of Public Administration & Policy, University at Albany, Albany, NY, USA;3. Rockefeller Institute of Government, Albany, NY, USA;4. Department of Information Science, University at Albany, Albany, NY, USA;5. Universidad de las Americas Puebla, Mexico;1. Graduate Institute of Public Affairs and Department of Political Science, National Taiwan University, Taiwan;2. Department of Public Administration, National Open University, Taiwan;3. Taiwan Institute for Government and Communication Research, National Chengchi University, Taiwan;4. Department of Public Administration, National Chengchi University, Taiwan |
| |
| Abstract: | The quality of metadata in open data portals plays a crucial role for the success of open data. E-government, for example, have to manage accurate and complete metadata information to guarantee the reliability and foster the reputation of e-government to the public. Measuring and comparing the quality of open data is not a straightforward process because it implies to take into consideration multiple quality dimensions whose quality may vary from one another, as well as various open data stakeholders who – depending on their role/needs – may have different preferences regarding the dimensions’ importance. To address this Multi-Criteria Decision Making (MCDM) problem, and since data quality is hardly considered in existing e-government models, this paper develops an Open Data Portal Quality (ODPQ) framework that enables end-users to easily and in real-time assess/rank open data portals. From a theoretical standpoint, the Analytic Hierarchy Process (AHP) is used to integrate various data quality dimensions and end-user preferences. From a practical standpoint, the proposed framework is used to compare over 250 open data portals, powered by organizations across 43 different countries. The findings of our study reveals that today’s organizations do not pay sufficient heed to the management of datasets, resources and associated metadata that they are currently publishing on their portal. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
