IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v440y2006i7083d10.1038_440413a.html
   My bibliography  Save this article

Science in an exponential world

Author

Listed:
  • Alexander Szalay

    (Johns Hopkins University)

  • Jim Gray

    (Microsoft Research)

Abstract

The amount of scientific data is doubling every year. Alexander Szalay and Jim Gray analyse how scientific methods are evolving from paper notebooks to huge online databases.

Suggested Citation

  • Alexander Szalay & Jim Gray, 2006. "Science in an exponential world," Nature, Nature, vol. 440(7083), pages 413-414, March.
    • Handle: RePEc:nat:nature:v:440:y:2006:i:7083:d:10.1038_440413a
    DOI: 10.1038/440413a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/440413a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/440413a?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.

    Citations

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


    Cited by:

    1. Carbone, Anna & Jensen, Meiko & Sato, Aki-Hiro, 2016. "Challenges in data science: a complex systems perspective," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 1-7.
    2. Heloisa Ruivo & Gilvan Sampaio & Fernando M. Ramos, 2014. "Knowledge extraction from large climatological data sets using a genome-wide analysis approach: application to the 2005 and 2010 Amazon droughts," Climatic Change, Springer, vol. 124(1), pages 347-361, May.
    3. Omar Boutkhoum & Mohamed Hanine & Tarik Agouti & Abdessadek Tikniouine, 2017. "A decision-making approach based on fuzzy AHP-TOPSIS methodology for selecting the appropriate cloud solution to manage big data projects," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1237-1253, November.
    4. Nitin Sachdeva & Ompal Singh & P. K. Kapur & Diego Galar, 2016. "Multi-criteria intuitionistic fuzzy group decision analysis with TOPSIS method for selecting appropriate cloud solution to manage big data projects," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(3), pages 316-324, September.

    More about this item

    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:nat:nature:v:440:y:2006:i:7083:d:10.1038_440413a. 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.nature.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.