TY - JOUR
T1 - Assessment of OpenStreetMap (OSM) Data
T2 - The Case of Abu Dhabi City, United Arab Emirates
AU - Yagoub, M. M.
N1 - Funding Information:
The support for the research presented in this article had been provided by the United Arab Emirate University-UAE National Research Foundation (NRF) (Project No. 25494). The support is gratefully acknowledged. The views and conclusions are those of the author and should not be taken as those of the sponsor. The author would like to acknowledge the efforts made by Mr. Youness Zahir in data processing. Special thanks are due to the anonymous reviewers for their constructive suggestions and comments that enhance the article. Last but not least, the effort of the editorial board of the Journal of Map & Geography Libraries is highly appreciated.
Publisher Copyright:
© 2017 The Author(s). Published with license by Taylor & Francis © 2017, © M. M. Yagoub.
PY - 2017/9/2
Y1 - 2017/9/2
N2 - Geographic Information Systems (GIS) data are crucial for many applications such as disaster response, damage assessment, and recovery efforts. The 2010 Haiti earthquake destroyed buildings where GIS data were stored and many of the relief organizations ultimately depended on data retrieved from outside the country to do their work. The lesson learnt from this experience is that open access data is necessary in assisting tasks in such situations and therefore the evaluation of such data for its quality is important. This research evaluates OpenStreetMap (OSM) data that can be and is used by various organizations. The methodology followed is based on the International Organization for Standardization (ISO) Geographic Information-Quality Principles (ISO19113). According to the ISO19113 standard, the data quality elements are: completeness, logical consistency, positional accuracy, thematic accuracy, and temporal accuracy. The first four elements noted above were tested in this study. OSM data was compared with official data from Abu Dhabi city. Results show that the positional accuracy of OSM data meets the American Society for Photogrammetry and Remote Sensing (ASPRS) standards for 1:20,000-scale maps. This indicates that OSM data could be used for many applications, taking into account the hurdles in GIS data acquisition, cost, availability, licensing, distribution policies, and documentation. The article concludes with a call for incorporation of geospatial data services and data quality initiatives in libraries.
AB - Geographic Information Systems (GIS) data are crucial for many applications such as disaster response, damage assessment, and recovery efforts. The 2010 Haiti earthquake destroyed buildings where GIS data were stored and many of the relief organizations ultimately depended on data retrieved from outside the country to do their work. The lesson learnt from this experience is that open access data is necessary in assisting tasks in such situations and therefore the evaluation of such data for its quality is important. This research evaluates OpenStreetMap (OSM) data that can be and is used by various organizations. The methodology followed is based on the International Organization for Standardization (ISO) Geographic Information-Quality Principles (ISO19113). According to the ISO19113 standard, the data quality elements are: completeness, logical consistency, positional accuracy, thematic accuracy, and temporal accuracy. The first four elements noted above were tested in this study. OSM data was compared with official data from Abu Dhabi city. Results show that the positional accuracy of OSM data meets the American Society for Photogrammetry and Remote Sensing (ASPRS) standards for 1:20,000-scale maps. This indicates that OSM data could be used for many applications, taking into account the hurdles in GIS data acquisition, cost, availability, licensing, distribution policies, and documentation. The article concludes with a call for incorporation of geospatial data services and data quality initiatives in libraries.
KW - Abu Dhabi
KW - OpenStreetMap
KW - UAE
KW - United Arab Emirates
KW - data quality
KW - spatial data assessment
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U2 - 10.1080/15420353.2017.1378150
DO - 10.1080/15420353.2017.1378150
M3 - Article
AN - SCOPUS:85041210807
SN - 1542-0353
VL - 13
SP - 300
EP - 319
JO - Journal of Map and Geography Libraries
JF - Journal of Map and Geography Libraries
IS - 3
ER -