IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v37y2017i3p150-154.html
   My bibliography  Save this article

Open data: Quality over quantity

Author

Listed:
  • Sadiq, Shazia
  • Indulska, Marta

Abstract

Open data aims to unlock the innovation potential of businesses, governments, and entrepreneurs, yet it also harbours significant challenges for its effective use. While numerous innovation successes exist that are based on the open data paradigm, there is uncertainty over the data quality of such datasets. This data quality uncertainty is a threat to the value that can be generated from such data. Data quality has been studied extensively over many decades and many approaches to data quality management have been proposed. However, these approaches are typically based on datasets internal to organizations, with known metadata, and domain knowledge of the data semantics. Open data, on the other hand, are often unfamiliar to the user and may lack metadata. The aim of this research note is to outline the challenges in dealing with data quality of open datasets, and to set an agenda for future research to address this risk to deriving value from open data investments.

Suggested Citation

  • Sadiq, Shazia & Indulska, Marta, 2017. "Open data: Quality over quantity," International Journal of Information Management, Elsevier, vol. 37(3), pages 150-154.
    • Handle: RePEc:eee:ininma:v:37:y:2017:i:3:p:150-154
    DOI: 10.1016/j.ijinfomgt.2017.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401216309021
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2017.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hou, Jianhua & Wang, Yuanyuan & Zhang, Yang & Wang, Dongyi, 2022. "How do scholars and non-scholars participate in dataset dissemination on Twitter," Journal of Informetrics, Elsevier, vol. 16(1).
    2. Barbara Å libar & Dijana OreÅ¡ki & Nina BegiÄ ević ReÄ‘ep, 2021. "Importance of the Open Data Assessment: An Insight Into the (Meta) Data Quality Dimensions," SAGE Open, , vol. 11(2), pages 21582440211, June.
    3. Ruojing Zhang & Marta Indulska & Shazia Sadiq, 2019. "Discovering Data Quality Problems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(5), pages 575-593, October.
    4. Jinhua Chu & You-Yu Dai & Anyuan Zhong, 2023. "Factors Influencing the Effectiveness of Open Government Data Platforms: A Data Analysis of 61 Prefecture-Level Cities in China," SAGE Open, , vol. 13(3), pages 21582440231, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    2. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    3. Dwiza Riana & Achmad Nizar Hidayanto & Sri Hadianti & Darmawan Napitupulu, 2021. "Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia," Future Internet, MDPI, vol. 13(2), pages 1-27, January.
    4. Landrum, Hollis & Prybutok, Victor R., 2004. "A service quality and success model for the information service industry," European Journal of Operational Research, Elsevier, vol. 156(3), pages 628-642, August.
    5. Sanduni I. Senaratne & Samantha M. Samarasinghe, 2019. "Factors Affecting the Intention to Adopt M-Learning," International Business Research, Canadian Center of Science and Education, vol. 12(2), pages 150-164, February.
    6. Masoner, Michael M. & Lang, Sandra S. & Melcher, Arlyn J., 2011. "A meta-analysis of information system success: A reconsideration of its dimensionality," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 136-141.
    7. Lawrence, Michael & Goodwin, Paul & Fildes, Robert, 2002. "Influence of user participation on DSS use and decision accuracy," Omega, Elsevier, vol. 30(5), pages 381-392, October.
    8. Un-Kon Lee, 2017. "International Tourism Advertisements on Social Media: Impact of Argument Quality and Source," Sustainability, MDPI, vol. 9(9), pages 1-18, August.
    9. Jung-Yu Lai & Juite Wang, 2018. "Exploring the impacts of perceived e-collaboration service convenience on new product development in Taiwanese IC design companies," Information Technology and Management, Springer, vol. 19(2), pages 107-120, June.
    10. repec:thr:techub:1009:y:2020:i:1:p:397-404 is not listed on IDEAS
    11. Byrd, Terry Anthony & Thrasher, Evelyn H. & Lang, Teresa & Davidson, Nancy W., 2006. "A process-oriented perspective of IS success: Examining the impact of IS on operational cost," Omega, Elsevier, vol. 34(5), pages 448-460, October.
    12. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    13. Nurlia Dewi & Willy Abdillah & Muhartini Salim & Slamet Widodo, 2021. "The Role of Leadership in Implementation Public Information System of Local Government Institutions in Indonesia," International Review of Management and Marketing, Econjournals, vol. 11(6), pages 1-9.
    14. A. Maes & G. Poels, 2006. "Development of a user evaluations based quality model for conceptual modeling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/406, Ghent University, Faculty of Economics and Business Administration.
    15. Fatma Fourati-Jamoussi & Claude Narcisse Niamba, 2016. "An evaluation of business intelligence tools: a cluster analysis of users’ perceptions," Post-Print hal-03165570, HAL.
    16. Bradley, Joseph, 2008. "Management based critical success factors in the implementation of Enterprise Resource Planning systems," International Journal of Accounting Information Systems, Elsevier, vol. 9(3), pages 175-200.
    17. Gjoko Stamenkov, 2023. "Recommendations for improving research quality: relationships among constructs, verbs in hypotheses, theoretical perspectives, and triangulation," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2923-2946, June.
    18. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    19. Garrison, Gary & Wakefield, Robin L. & Kim, Sanghyun, 2015. "The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations," International Journal of Information Management, Elsevier, vol. 35(4), pages 377-393.
    20. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams & Vishanth Weerakkody, 2015. "Investigating success of an e-government initiative: Validation of an integrated IS success model," Information Systems Frontiers, Springer, vol. 17(1), pages 127-142, February.
    21. Alain Cucchi & Chantal Fuhrer, 2006. "Lifting the Veil on Organizational Structure: A Social Network Analysis of Professional E-Mail Use," Post-Print hal-01656776, HAL.

    More about this item

    Keywords

    Open data; Data quality;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:37:y:2017:i:3:p:150-154. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.