International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 127

Case Studies | Engineering Science | Kenya | Volume 5 Issue 3, March 2016


Developing an Organizational Geospatial Data Framework: A Case Study of Kenya National Bureau of Statistics

Hellen Wanyoike, David Kuria


Abstract: Many organizations across the world duplicate geospatial data due to lack of a platform where they can identify this data. The main objective of this study was to develop an organizational geospatial data framework for the Kenya National Bureau of Statistics (KNBS). The study addresses components of the framework namely information, technical, operational and business contexts and the institutional roles. This involved interviews and consultations with various officers to come up with representative framework components. The data standards were generated and documented guided by the Federal Geographic Data Committee (FGDC) Data Standards. Using the framework, the data was processed in a GIS and a geoportal. The results demonstrate how KNBS eight most commonly used geospatial data themes and one non- geospatial theme can be represented and shared across the organization. Two Standards are provided for the framework, the data standards documented in the KNBS Map production and Specification Manual, and the metadata standard, which is an ISO 19139 Geographic Information Metadata - XML Schema Implementation. A geoportal has been developed allowing users access the KNBS geospatial data. This KNBS geospatial data framework is a case study from which other organizations can learn from and come up with their own frameworks.


Keywords: Geospatial Data, Geospatial Data Framework, Framework Components, Statistical Data


Edition: Volume 5 Issue 3, March 2016,


Pages: 35 - 42


How to Cite this Article?

Hellen Wanyoike, David Kuria, "Developing an Organizational Geospatial Data Framework: A Case Study of Kenya National Bureau of Statistics", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=NOV161725, Volume 5 Issue 3, March 2016, 35 - 42

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