IDEAS home Printed from https://ideas.repec.org/a/eee/worpat/v33y2011i3p230-234.html
   My bibliography  Save this article

Quality - Key factor for high value in professional patent, technical and scientific information

Author

Listed:
  • Brünger-Weilandt, Sabine
  • Geiß, Dieter
  • Herlan, Gerhard
  • Stuike-Prill, Rainer

Abstract

An effective and efficient innovation process needs reliable scientific, technical and patent information of high quality. To obtain information of high quality, specific quality criteria during the entire information workflow have to be followed. This article focuses on quality criteria for database producers, information providers and information specialists. In particular, STN International® is used as an example to describe in detail the quality criteria for information providers, and the value they add through a comprehensive information offer. This includes value-add patent databases; quality assurance of databases; a standardized host environment; a transparent and sophisticated retrieval system; ensured data security and privacy; and professional and qualified customer support.

Suggested Citation

  • Brünger-Weilandt, Sabine & Geiß, Dieter & Herlan, Gerhard & Stuike-Prill, Rainer, 2011. "Quality - Key factor for high value in professional patent, technical and scientific information," World Patent Information, Elsevier, vol. 33(3), pages 230-234, September.
  • Handle: RePEc:eee:worpat:v:33:y:2011:i:3:p:230-234
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0172219011000846
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Tomoko Saiki, 2015. "Information quality management of patent searches from the practical viewpoint," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 1(1), pages 58-72.

    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:worpat:v:33:y:2011:i:3:p:230-234. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/654/description#description .

    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.