Author: Craig

  • The Great English Practical Problem (brough to you by Heathrow)

    The Great English Practical Problem (brough to you by Heathrow)

    All counties have their institutional and ‘thinking’ problems. Australian intellectuals are often accused of being too broad and general in their thinking, unable to command the towering heights of research speciality within the rigours of a solid intellectual paradigm. American intellectuals are often accused of being too careerist, doing what is good for their career

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  • Crowd-sourcing the eCar

    A Finnish internet community is seeking to apply the collective approach taken by online collaborators like the authors of Wikipedia to start converting used petrol-fuelled cars to electric ones, with the first roll-out due this year (link).

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  • What is the National Centre for Text Mining?

    The National Centre for Text Mining (NaCTeM) is the first publicly-funded text mining centre in the world. We provide text mining services in response to the requirements of the UK academic community. NaCTeM is operated by the University of Manchester with close collaboration with the University of Tokyo (link)

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  • Electronic Textual Centres Hub

    At the Electronic Textual Cultures Laboratory we conduct original research, develop new ways of disseminating information, and foster the innovative adaptation of existing tools. Our cross-disciplinary work in the areas of data-harvesting, textual content analysis, and document encoding puts us at the forefront of a global conversation about the future of communication (link).

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  • Is academic ready for web 2.0:?

    As part of its development, the Pre-Raphaelite Resource digitisation project recently commissioned an audience research study to consult users about whether the inclusion of Web 2.0 features on a resource of this type would be useful or important to the education community. The report indicated that: “there is some readiness among the education community for

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  • Metadata in a nutshell

    Metadata is sometimes defined literally as ‘data about data,’ but the term is normally understood to mean structured data about resources that can be used to help support a wide range of operations. These might include, for example, resource description and discovery, the management of information resources and their long-term preservation (link).

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