Data blogging: a new implication for science impact

Yan, Weigang; Malcolm, Heath. 2013 Data blogging: a new implication for science impact. [Speech] In: Digital Research 2013, Oxford, 9-11 Sept 2013. (Unpublished)

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Data visualisation integrates streams of data and transforms them into information via graphical means. Recently, data journalism combining with visualisation analytics is burgeoning in the social and economic regimes. It effectively and clearly delivers the insights about the data to non-technical audients and broadcasts the social, political and commercial impacts of data. However, impacts by scientific data are under-exploited through data journalism. As we are increasingly exposed to high quality scientific data and data deluge, how to interpret such abstract data and increase the audients’s understanding towards science is challenging. Elements of infographics, maps and charts are fundamentals to construct stories about scientific data. By infusing these elements, we created a data blog LULUCF datacosm based on the data produced from UK greenhouse gas inventory in land use sector as a contemporary example here. Data are analysed, transformed and visualised as a story in the blog. Via the visualised data, we interpret and communicate complex issues covering climate change, biodiversity and carbon management and forest management. LULUCF datacosm is one of the unique digital platforms of open data focusing on data visualisation and dissemination. By using this example, I will outline features and insights that help discover how data blogging creates ways to increase the impacts of science.

Item Type: Publication - Conference Item (Speech)
Programmes: CEH Topics & Objectives 2009 - 2012 > Biodiversity
UKCEH and CEH Sections/Science Areas: Acreman
NORA Subject Terms: Ecology and Environment
Date made live: 28 Mar 2014 12:44 +0 (UTC)

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