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 education 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.
|Title of host publication
|Proceedings of the 6th International Conference on Data Science, Technology and Applications
|Number of pages
|Published - 2017
|6th International Conference on Data Science, Technology and Applications - Madrid, Spain
Duration: 24 Jul 2017 → 26 Jul 2017
Conference number: 6
http://www.dataconference.org/?y=2017 (Link to Conference Website)
|6th International Conference on Data Science, Technology and Applications
|24/07/17 → 26/07/17
|The purpose of the 6th International Conference on Data Science, Technology and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.