IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-01437-6_7.html
   My bibliography  Save this book chapter

Multidimensionality in XBRL

In: XBRL for Interactive Data

Author

Listed:
  • Roger Debreceny

    (School of Accountancy Shidler College of Business University of Hawai`i at Manoa)

  • Carsten Felden

    (TU Bergakademie Freiberg Wirtschaftswissenschaft)

  • Bartosz Ochocki
  • Maciej Piechocki
  • Michal Piechocki

Abstract

Multidimensionality in XBRL is a relatively new solution for taxonomy modeling in environments when disclosure of information is in cubes. These cubes have two or more vectors to analyze and break down the information into subsets of interest to the end-user. Multidimensionality is a term in common use in relation to database modeling and design. We find it in use especially in sales and production environments. It supports end-user querying and displaying information according to defined breakdowns. This may be for some combination by regions, by products, by clients, etc.

Suggested Citation

  • Roger Debreceny & Carsten Felden & Bartosz Ochocki & Maciej Piechocki & Michal Piechocki, 2009. "Multidimensionality in XBRL," Springer Books, in: XBRL for Interactive Data, edition 1, chapter 7, pages 129-148, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-01437-6_7
    DOI: 10.1007/978-3-642-01437-6_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:sprchp:978-3-642-01437-6_7. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.