Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/24894
Author(s): Varela, C.
Domingues, L.
Editor: Martinho, R., Rijo, R., Cruz-Cunha, M. M., Domingos, D., & Peres, E.
Date: 2021
Title: Risks of data science projects: A Delphi study
Volume: 196
Pages: 982 - 989
Event title: 2021 International Conference on ENTERprise Information Systems, CENTERIS 2021 / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021 and International Conference on Health and Social Care Information Systems and Technologies 2021
ISSN: 1877-0509
DOI (Digital Object Identifier): 10.1016/j.procs.2021.12.100
Keywords: Data science
Project sucess
Project risk management
Risk assessment
Delphi study
Abstract: Risk is one of the most crucial components of a project. Its proper evaluation and treatment increase the chances of a project's success. This article presents the risks in Data Science projects, assessed through a study conducted with the Delphi technique, to answer the answer the question, "What are the risks of Data Science projects". The study allowed the identification of specific risks related to data science projects, however it was possible to verify that over a half of the most mentioned risks are similar to other types of IT projects. This paper describes the research from expert selection, risk identification and analysis, and the first conclusions.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:ISTAR-CRI - Comunicações a conferências internacionais

Files in This Item:
File Description SizeFormat 
conferenceobject_87449.pdfVersão Editora502,44 kBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.