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Visual Exploration of Formal Requirements for Data Science Demand Analysis

Dadzie, Aba-Sah and Domingue, John (2015). Visual Exploration of Formal Requirements for Data Science Demand Analysis. In: VOILA 2015, pp. 1–12.

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The era of Big Data brings with it the need to develop new skills for managing this heterogenous, complex, large scale knowledge source, to extract its content for effective task completion and informed decision-making. Defining these skills and mapping them to demand is a first step in meeting this challenge. We discuss the outcomes of visual exploratory analysis of demand for Data Sci- entists in the EU, examining skill distribution across key industrial sectors and geolocation for two snapshots in time. Our aim is to translate the picture of skill capacity into a formal specification of user, task and data requirements for de- mand analysis. The knowledge thus obtained will be fed into the development of context-sensitive learning resources to fill the skill gaps recognised.

Item Type: Conference or Workshop Item
Copyright Holders: 2015 The Authors
ISSN: 1613-0073
Extra Information: Workshop co-located with ISWC 2015, October 11, 2015, Bethlehem, Pennsylvania, USA
Keywords: big data; visual exploration; visual analytics; demand analysis; RtD; data-driven decision-making; ontology-guided design
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
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Item ID: 44263
Depositing User: Kay Dave
Date Deposited: 09 Sep 2015 08:15
Last Modified: 15 Jan 2019 07:34
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