IDEAS home Printed from https://ideas.repec.org/a/spr/aodasc/v4y2017i1d10.1007_s40745-016-0096-6.html
   My bibliography  Save this article

Big Data Paradigm: What is the Status of Privacy and Security?

Author

Listed:
  • Kenneth David Strang

    (State University of New York, Plattsburgh)

  • Zhaohao Sun

    (PNG University of Technology)

Abstract

We extended the big data body of knowledge by analyzing the longitudinal literature to highlight important research topics and identify critical gaps. We initially collected 79,012 articles from 1900 to 2016 related to big data. We refined our sample to 13,029 articles allowing us to determine that the big data paradigm commenced in late 2011 and the research production exponentially rose starting in 2012, which approximated a Weibull distribution that captured 82% of the variance ( $$p

Suggested Citation

  • Kenneth David Strang & Zhaohao Sun, 2017. "Big Data Paradigm: What is the Status of Privacy and Security?," Annals of Data Science, Springer, vol. 4(1), pages 1-17, March.
    • Handle: RePEc:spr:aodasc:v:4:y:2017:i:1:d:10.1007_s40745-016-0096-6
    DOI: 10.1007/s40745-016-0096-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40745-016-0096-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40745-016-0096-6?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. Hamid Ekbia & Michael Mattioli & Inna Kouper & G. Arave & Ali Ghazinejad & Timothy Bowman & Venkata Ratandeep Suri & Andrew Tsou & Scott Weingart & Cassidy R. Sugimoto, 2015. "Big data, bigger dilemmas: A critical review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(8), pages 1523-1545, August.
    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. Yevgeniy Popov & Konstantin Semyachkov, 2018. "Problems of Economic Security for Digital Society in the Context of Globalization," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1088-1101.

    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. Eric W. K. See-To & Eric W. T. Ngai, 2018. "Customer reviews for demand distribution and sales nowcasting: a big data approach," Annals of Operations Research, Springer, vol. 270(1), pages 415-431, November.
    2. Eric. W. K. See-To & Yang Yang, 2017. "Market sentiment dispersion and its effects on stock return and volatility," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 283-296, August.
    3. Cinzia Daraio & Simone Leo & Monica Scannapieco, 2022. "Accounting for quality in data integration systems: a completeness-aware integration approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1465-1490, March.
    4. S. Vijayakumar Bharathi, 2017. "Prioritizing and Ranking the Big Data Information Security Risk Spectrum," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 183-201, September.
    5. Laura Bitomsky & Olga Bürger & Björn Häckel & Jannick Töppel, 2020. "Value of data meets IT security – assessing IT security risks in data-driven value chains," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 589-605, September.
    6. Karen Yeung, 2018. "Algorithmic regulation: A critical interrogation," Regulation & Governance, John Wiley & Sons, vol. 12(4), pages 505-523, December.
    7. Lim, Chiehyeon & Kim, Ki-Hun & Kim, Min-Jun & Heo, Jun-Yeon & Kim, Kwang-Jae & Maglio, Paul P., 2018. "From data to value: A nine-factor framework for data-based value creation in information-intensive services," International Journal of Information Management, Elsevier, vol. 39(C), pages 121-135.
    8. Cinzia Daraio & Maurizio Lenzerini & Claudio Leporelli & Henk F. Moed & Paolo Naggar & Andrea Bonaccorsi & Alessandro Bartolucci, 2015. "Data Integration for Research and Innovation Policy: An Ontology-based Data Management Approach," DIAG Technical Reports 2015-10, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    9. Ulrich Leicht-Deobald & Thorsten Busch & Christoph Schank & Antoinette Weibel & Simon Schafheitle & Isabelle Wildhaber & Gabriel Kasper, 2019. "The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity," Journal of Business Ethics, Springer, vol. 160(2), pages 377-392, December.
    10. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    11. Zheng Xiang & Qianzhou Du & Yufeng Ma & Weiguo Fan, 2018. "Assessing reliability of social media data: lessons from mining TripAdvisor hotel reviews," Information Technology & Tourism, Springer, vol. 18(1), pages 43-59, April.
    12. Rekha Wazir, 2023. "Social Norm Change, Behavioural Approaches and the Politics of Knowledge: A Conversation between the Ivory Tower and the Field," Development and Change, International Institute of Social Studies, vol. 54(1), pages 3-30, January.
    13. Bell, David & Lycett, Mark & Marshan, Alaa & Monaghan, Asmat, 2021. "Exploring future challenges for big data in the humanitarian domain," Journal of Business Research, Elsevier, vol. 131(C), pages 453-468.
    14. Lei Wang & Mengke Yang & Zulfiqar Hussain Pathan & Shafaq Salam & Khuram Shahzad & Jianqiu Zeng, 2018. "Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    15. Cinzia Daraio & Maurizio Lenzerini & Claudio Leporelli & Henk F. Moed & Paolo Naggar & Andrea Bonaccorsi & Alessandro Bartolucci, 2016. "Data integration for research and innovation policy: an Ontology-Based Data Management approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 857-871, February.
    16. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    17. Michael Weinhardt, 2021. "Big Data: Some Ethical Concerns for the Social Sciences," Social Sciences, MDPI, vol. 10(2), pages 1-14, January.
    18. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    19. Fred Fonseca, 2021. "Whether or when: The question on the use of theories in data science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(12), pages 1593-1604, December.
    20. Cinzia Daraio, 2017. "A framework for the Assessment of Research and its impacts," DIAG Technical Reports 2017-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

    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:spr:aodasc:v:4:y:2017:i:1:d:10.1007_s40745-016-0096-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.