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Grey literature

Grey literature is best defined as literature which cannot readily be acquired through normal bookselling channels and which is therefore difficult to identify and obtain.

Some examples of grey literature, as mentioned by J.M. Gibb and E. Phillips in "A better fate for the grey, or non-conventional, literature", Journal of Research Communication Studies, 1 (1978-1979), 225-234 , are :

- reports (both from the public and private sector) containing scientific, technical, economic, social information, etc.;

- theses;

- conference papers not published in commercially available proceedings;

- technical rules and recommendations

- translations (other than those published commercially, e.g. "cover-to-cover");

- articles printed in certain journals (e.g. non-commercial society journals, local-level journals);

- official documents (e.g. documents issued in limited numbers by government bodies).

Grey literature is often distributed to only a limited number of interested organizations. The interdisciplinary nature of research, makes this information relevant to other areas of research and innovation.

SIGLE â is the System for Information on Grey Literature in Europe.

More information is available through URL :

Tacit knowledge

Tacit knowledge is defined as "informal knowledge". There is a growing awareness that not only formal knowledge, as can be found in research information systems, bus also the so-called tacit knowledge, is at the centre of the innovation process. A Policy Workshop on this topic was held 25-26 May 1993 in Luxembourg : "Public policies to support tacit knowledge transfer".

Browsable abstract: /eims/src/eims-8.htm

The importance of tacit knowledge is also covered by the following CRIS 98 Conference papers:

  • CRIS, a cost or an investment? Models of innovation in the information age. Dominique Foray , IMRI, CNRS, Paris, France
  • Joining forces on innovation: the IWT-SME-Network
    François Stassijns ,
    IWT, Belgium
  • CRIS for Technology Watch:
    Monitoring the cognitive ecosystem of our knowledge
    Anthony van Raan ,
    Rijksuniversiteit Leiden, CWTS (Centrum voor Wetenschaps- en Technologiestudies), Netherlands