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That's why Richard Price, the CEO of a social network for researchers called Academia.edu, says that sharing raw research data should be expected from the start.
Providing the raw research articles is something that isn't going to go away, though certainly the economics of it are changing.
Though the raw research was done in the early 1990s, the authors say it remains relevant and they would expect the results to be similar if it was carried out now.
Professor Manning, who has downloaded a copy of the AOL data set but has no immediate plans to work with it, added that the trove of raw research material represented by the AOL data "obviates the need for anyone to worry about getting data for a while".
Spearheaded by the Cambridge venture capitalist Hermann Hauser and modelled on the German Fraunhofer Institutes, the catapults, specialising in the future of cities, a connected digital economy and renewable energies among much more, aim to translate raw research into valuable innovation.
However, the potential disregard or overlook of adequate rules of diffusion below the fence of raw research data still ought to be carefully considered.
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This model constitutes a general framework for the representation of critical biotechonomic sectors; their land use, production and consumption of raw material, research and development, investments in and utilization of production capacities (i.e. capital investments), their utilization of labour, finances (value creation, capital and operating costs and profit), and sustainability.
Consequently, we would encourage that this raw data and research information be shared with other researchers so that they can massage and drill down into it to enhance and contribute to pre-K problem-solving, continuous improvement, and knowledge development.
Sequencing efforts are remarkable since the direct raw output of research activities is not subject to patent protection, while their potential impact on further research remains immense, especially with respect to the rice genome, viewed as the "Rosetta stone of cereals".
These massive digital data flows are the new raw materials for research.
Researchers in various fields, from acoustic phonetics to child language development, rely on digitised collections of spoken language data as raw material for research.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com