Benefits and challenges of a reference architecture for processing statistical data

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1 Citation (Scopus)

Abstract

Organizations are looking for ways to gain advantage of big and open linked data (BOLD) by employing statistics, however, how these benefits can be created is often unclear. A reference architecture (RA) can capitalize experiences and facilitate the gaining of the benefits, but might encounter challenges when trying to gain the benefits of BOLD. The objective of the research to evaluate the benefits and challenges of building IT systems using a RA. We do this by investigating cases of the utilization of a RA for Linked Open Statistical Data (LOSD). Benefits of using the reference architecture include reducing project complexity, avoiding having to “reinvent the wheel”, easing the analysis of a (complex) system, preserving knowledge (e.g. proven concepts and practices), mitigating multiple risks by reusing proven building blocks, and providing users a common understanding. Challenges encountered include the need for communication and learning the ins and outs of the RA, missing features, inflexibility to add new instances as well as integrating the RA with existing implementations, and the need for support for the RA from other stakeholders.

Original languageEnglish
Title of host publicationDigital Nations – Smart Cities, Innovation, and Sustainability - 16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Proceedings
PublisherSpringer
Pages462-473
Number of pages12
Volume10595 LNCS
ISBN (Print)9783319685564
DOIs
Publication statusPublished - 2017
Event16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017 - Delhi, India
Duration: 21 Nov 201723 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10595 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017
CountryIndia
CityDelhi
Period21/11/1723/11/17

Keywords

  • Big data
  • BOLD
  • Data cube
  • Data processing
  • E-Government
  • LOSD
  • Open data
  • Open government
  • Reference architecture
  • Statistical data

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  • Cite this

    Wahyudi, A., Matheus, R., & Janssen, M. (2017). Benefits and challenges of a reference architecture for processing statistical data. In Digital Nations – Smart Cities, Innovation, and Sustainability - 16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Proceedings (Vol. 10595 LNCS, pp. 462-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10595 LNCS). Springer. https://doi.org/10.1007/978-3-319-68557-1_41