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2018 | OriginalPaper | Buchkapitel

10. Data Profession

verfasst von : Longbing Cao

Erschienen in: Data Science Thinking

Verlag: Springer International Publishing

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Abstract

We are lucky to be living in the age of analytics, data science, and big data. These three fields represent probably the most promising areas and future direction in the current Information and Communications Technology (ICT) and Science, Engineering and Technology (SET) sectors and disciplines.

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Literatur
64.
Zurück zum Zitat Cao, L.: Data science: Challenges and directions (2016). Technical Report, UTS Advanced Analytics Institute Cao, L.: Data science: Challenges and directions (2016). Technical Report, UTS Advanced Analytics Institute
77.
Zurück zum Zitat Cao, L., Yu, P.S., Zhang, C., Zhao, Y.: Domain Driven Data Mining. Springer (2010) Cao, L., Yu, P.S., Zhang, C., Zhao, Y.: Domain Driven Data Mining. Springer (2010)
105.
Zurück zum Zitat Crowston, K., Qin, J.: A capability maturity model for scientific data management: Evidence from the literature. In: Proceedings of the American Society for Information Science and Technology, vol. 48, pp. 1–9 (2011) Crowston, K., Qin, J.: A capability maturity model for scientific data management: Evidence from the literature. In: Proceedings of the American Society for Information Science and Technology, vol. 48, pp. 1–9 (2011)
121.
Zurück zum Zitat Davenport, T.H., Patil, D.: Data scientist: The sexiest job of the 21st century. Harvard Business Review pp. 70–76 (2012) Davenport, T.H., Patil, D.: Data scientist: The sexiest job of the 21st century. Harvard Business Review pp. 70–76 (2012)
135.
Zurück zum Zitat DSAA: IEEE/ACM/ASA international conference on data science and advanced analytics (2014). URL www.dsaa.co DSAA: IEEE/ACM/ASA international conference on data science and advanced analytics (2014). URL www.​dsaa.​co
172.
Zurück zum Zitat Galetto, M.: Top 50 data science resources (2016). URL http://www.ngdata.com/top-data-science-resources/? Galetto, M.: Top 50 data science resources (2016). URL http://​www.​ngdata.​com/​top-data-science-resources/​?​
206.
Zurück zum Zitat Harris, H., Murphy, S., Vaisman, M.: Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work. O’Reilly Media (2013) Harris, H., Murphy, S., Vaisman, M.: Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work. O’Reilly Media (2013)
208.
Zurück zum Zitat Hazena, B.T., Booneb, C.A., Ezellc, J.D., Jones-Farmer, L.A.: Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics 154, 72–80 (2014)CrossRef Hazena, B.T., Booneb, C.A., Ezellc, J.D., Jones-Farmer, L.A.: Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics 154, 72–80 (2014)CrossRef
226.
Zurück zum Zitat IJDS: International journal of data science (2016). URL http://www.inderscience.com/jhome.php?jcode=ijds IJDS: International journal of data science (2016). URL http://​www.​inderscience.​com/​jhome.​php?​jcode=​ijds
227.
Zurück zum Zitat IJRDS: International journal of research on data science (2017). URL http://www.sciencepublishinggroup.com/journal/index?journalid=310 IJRDS: International journal of research on data science (2017). URL http://​www.​sciencepublishin​ggroup.​com/​journal/​index?​journalid=​310
272.
Zurück zum Zitat Lencioni, P.: The Five Dysfunctions of a Team: A Leadership Fable. Jossey-Bass (2002) Lencioni, P.: The Five Dysfunctions of a Team: A Leadership Fable. Jossey-Bass (2002)
281.
Zurück zum Zitat Manieri, A., Brewer, S., Riestra, R., Demchenko, Y., Hemmje, M., Wiktorski, T., Ferrari, T., Frey, J.: Data science professional uncovered: How the EDISON project will contribute to a widely accepted profile for data scientists. In: 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 588–593 (2015) Manieri, A., Brewer, S., Riestra, R., Demchenko, Y., Hemmje, M., Wiktorski, T., Ferrari, T., Frey, J.: Data science professional uncovered: How the EDISON project will contribute to a widely accepted profile for data scientists. In: 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 588–593 (2015)
283.
Zurück zum Zitat Matsudaira, K.: The science of managing data science. Communications of the ACM 58(6), 44–47 (2015)CrossRef Matsudaira, K.: The science of managing data science. Communications of the ACM 58(6), 44–47 (2015)CrossRef
322.
Zurück zum Zitat Patil, D.: Building Data Science Teams. O’Reilly Media (2011) Patil, D.: Building Data Science Teams. O’Reilly Media (2011)
323.
Zurück zum Zitat Patterson, K., Grenny, J.: Crucial Conversations Tools for Talking When Stakes Are High (Second Edition). McGraw-Hill Education (2011) Patterson, K., Grenny, J.: Crucial Conversations Tools for Talking When Stakes Are High (Second Edition). McGraw-Hill Education (2011)
325.
Zurück zum Zitat Paulk, M.C., Curtis, B., Chrissis, M.B., Weber, C.V.: Capability maturity model version 1.1. IEEE Software 10(4), 18–27 (1993) Paulk, M.C., Curtis, B., Chrissis, M.B., Weber, C.V.: Capability maturity model version 1.1. IEEE Software 10(4), 18–27 (1993)
376.
Zurück zum Zitat Swan, A., Brown, S.: The skills, role & career structure of data scientists & curators: Assessment of current practice & future needs. In: UK Joint Information Systems Committee (2008). Technical Report. University of Southampton Swan, A., Brown, S.: The skills, role & career structure of data scientists & curators: Assessment of current practice & future needs. In: UK Joint Information Systems Committee (2008). Technical Report. University of Southampton
Metadaten
Titel
Data Profession
verfasst von
Longbing Cao
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-95092-1_10