loading
Documents

Research.Publish.Connect.

Paper

Authors: Kurt Englmeier 1 and Fionn Murtagh 2

Affiliations: 1 Schmalkalden University of Applied Science, Germany ; 2 University of Derby, United Kingdom

ISBN: 978-989-758-255-4

Keyword(s): Data Science, Big Data, Information Discovery, Data Analysis, Data Mining, Text Mining, Information Extraction, Information Usability, Semantic Layer.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Big Data ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Semi-Structured and Unstructured Data ; Symbolic Systems ; Text Analytics

Abstract: Data Scientists are the masters of Big Data. Analyzing masses of versatile data leads to insights that, in turn, may connect to successful business strategies, crime prevention, or better health care just to name a few. Big Data is primarily approached as mathematical and technical challenge. This may lead to technology design that enables useful insights from Big Data. However, this technology-driven approach does not meet completely and consistently enough the variety of information consumer requirements. To catch up with the versatility of user needs, the technology aspect should probably be secondary. If we adopt a user-driven approach, we are more in the position to cope with the individual expectations and exigencies of information consumers. This article takes information discovery as the overarching paradigm in data science and explains how this perspective change may impact the view on the profession of the data scientist and, resulting from that, the curriculum for the educa tion in data science. It reflects the result from discussions with companies participating in our student project cooperation program. These results are groundwork for the development of a curriculum framework for Applied Data Science. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.91.121.255

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Englmeier, K. and Murtagh, F. (2017). Data Scientist - Manager of the Discovery Lifecycle.In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-255-4, pages 133-140. DOI: 10.5220/0006393801330140

@conference{data17,
author={Kurt Englmeier. and Fionn Murtagh.},
title={Data Scientist - Manager of the Discovery Lifecycle},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2017},
pages={133-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006393801330140},
isbn={978-989-758-255-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Data Scientist - Manager of the Discovery Lifecycle
SN - 978-989-758-255-4
AU - Englmeier, K.
AU - Murtagh, F.
PY - 2017
SP - 133
EP - 140
DO - 10.5220/0006393801330140

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.