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000851644 005__ 20210129234951.0
000851644 0247_ $$2doi$$a10.1007/978-3-319-99993-7_31
000851644 0247_ $$2WOS$$aWOS:000460635000031
000851644 020__ $$a978-3-319-99992-0 (print)
000851644 020__ $$a978-3-319-99993-7 (electronic)
000851644 037__ $$aFZJ-2018-05194
000851644 1001_ $$0P:(DE-Juel1)144343$$aRybicki, Jedrzej$$b0$$eCorresponding author$$ufzj
000851644 1112_ $$a39th International Conference on Information Systems Architecture and Technology – ISAT 2018$$cNysa$$d2018-09-16 - 2018-09-19$$wPoland
000851644 245__ $$aBest Practices in Structuring Data Science Projects
000851644 260__ $$aCham$$bSpringer International Publishing$$c2019
000851644 29510 $$aInformation Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018 / Wilimowska, Zofia (Editor)   ; Cham : Springer International Publishing, 2019, Chapter 31 ; ISSN: 2194-5357=2194-5365 ; ISBN: 978-3-319-99992-0=978-3-319-99993-7 ; doi:10.1007/978-3-319-99993-7
000851644 300__ $$a348 - 357
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000851644 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1536323792_27187
000851644 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000851644 4900_ $$aAdvances in Intelligent Systems and Computing$$v854
000851644 520__ $$aThe goal of Data Science projects is to extract knowledge and insights from collected data. The focus is put on the novelty and usability of the obtained insights. However, the impact of a project can be seriously reduced if the results are not communicated well. In this paper, we describe a means of managing and describing the outcomes of the Data Science projects in such a way that they optimally convey the insights gained. We focus on the main artifact of the non-verbal communication, namely project structure. In particular, we surveyed three sources of information on how to structure projects: common management methodologies, community best practices, and data sharing platforms. The survey resulted in a list of recommendations on how to build the project artifacts to make them clear, intuitive, and logical. We also provide hints on tools that can be helpful for managing such structures in an efficient manner. The paper is intended to motivate and support an informed decision on how to structure a Data Science project to facilitate better communication of the outcomes.
000851644 536__ $$0G:(DE-HGF)POF3-512$$a512 - Data-Intensive Science and Federated Computing (POF3-512)$$cPOF3-512$$fPOF III$$x0
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000851644 773__ $$a10.1007/978-3-319-99993-7_31
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000851644 9141_ $$y2018
000851644 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144343$$aForschungszentrum Jülich$$b0$$kFZJ
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000851644 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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