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    Empowering Doctoral Candidates in Finding Relevant Concepts in a Literature Set

    157823_34978_2011_PUB 61709_The International Journal of Doctoral Studies_Naomi n Heinz Dreher.pdf (1.435Mb)
    Access Status
    Open access
    Authors
    Dreher, Naomi
    Dreher, Heinz
    Date
    2011
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Dreher, Naomi and Dreher, Heinz. 2011. Empowering Doctoral Candidates in Finding Relevant Concepts in a Literature Set. The International Journal of Doctoral Studies. 6: pp. 33-49.
    Source Title
    The International Journal of Doctoral Studies
    Additional URLs
    http://ijds.org/Volume6/IJDSv6p033-049Dreher324.pdf
    ISSN
    15568873
    School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/4173
    Collection
    • Curtin Research Publications
    Abstract

    Research activity connects prior findings with new and emerging ideas in the hope of attracting attention of those in the community who are able to make some sort of profit from the application of those ideas. Finding relevant concepts from among the vast repository of already published ideas is an important challenge for all researchers. Nowadays, there is ample opportunity to take advantage of the empowering aspects of developments in information technology. In this study, we share some ideas to efficiently and effectively find relevant concepts in a given literature set. Our need was to find and tag predetermined concepts from among the scores of research articles that our literature search had delivered – necessarily this was a large enough task to warrant the development of some automated support to find and tag the relevant concepts. We had prior exposure to Adobe® Acrobat® Pro and noted that it provides superior ‘search and find’ facilities; we decided to trial this use for our purposes in the ‘Tribes and Cultures’ research project. We have devised and trialled a seven step, semi-automated method to assist in finding relevant concepts from within collections of research articles, retrieved as Portable Document Format (PDF) files, from bibliographic databases and digital libraries.

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