An Evaluation Framework for Linked Open Statistical Data in Government

Ricardo Matheus, Marijn Janssen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
77 Downloads (Pure)


Demographic, economic, social and other datasets are often used in policy-making processes. These types of statistical data are opened more and more by governments, which enables the use of these datasets by the public. However, statistical data needs often to combine different datasets. Data cubes can be used to combine datasets and are a multi-dimensional array of values typically used to describe time series of geographical areas. While Linked Open Statistical Data (LOSD) cube software is still in an initial stage of maturity, there is a need for evaluation the software platforms used to process this open data. Yet there is a lack of evaluation methods. The objective of this ongoing research paper is to identify functional requirements for open data cubes infrastructures. Eight main processes are identified and a list of 23 functional requirements are used to evaluate the OpenCube platform. The evaluation results of a LOSD platform show that many functions are not automated and need to be manually executed. We recommend the further integration of the building blocks in the platform to reduce the barriers for the use of datasets by the public.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Electronic Government
Subtitle of host publicationEGOV 2017: Electronic Government
ISBN (Electronic)978-3-319-64677-0
ISBN (Print)978-3-319-64676-3
Publication statusPublished - 2017
Event16th IFIP WG 8.5 International Conference, EGOV 2017: International Conference on Electronic Government - petersburg, Russian Federation
Duration: 4 Sept 20177 Sept 2017

Publication series

NameLecture Notes in Computer Science


Conference16th IFIP WG 8.5 International Conference, EGOV 2017
Country/TerritoryRussian Federation


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