Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/46380
Título: | The data scientist profile and its representativeness in the European e-Competence framework and the skills framework for the information age |
Autor(es): | Costa, Carlos Santos, Maribel Yasmina |
Palavras-chave: | Conceptual model Data science Data scientist Knowledge Skills |
Data: | 2017 |
Editora: | Elsevier 1 |
Revista: | International Journal of Information Management |
Citação: | Costa, Carlos and Maribel Yasmina Santos, “The data scientist profile and its representativeness in the European e-Competence framework and the skills framework for the information age”, International Journal of Information Management, http://dx.doi.org/10.1016/j.ijinfomgt.2017.07.010 |
Resumo(s): | The activities in our current world are mainly supported by data-driven web applications, making extensive use of databases and data services. Such phenomenon led to the rise of Data Scientists as professionals of major relevance, which extract value from data and create state-of-the-art data artifacts that generate even more in- creased value. During the last years, the term Data Scientist attracted significant attention. Consequently, it is relevant to understand its origin, knowledge base and skills set, in order to adequately describe its profile and distinguish it from others like Business Analyst. This work proposes a conceptual model for the professional profile of a Data Scientist and evaluates the representativeness of this profile in two commonly recognized competences/skills frameworks in the field of Information and Communications Technology (ICT), namely in the European e-Competence (e-CF) framework and the Skills Framework for the Information Age (SFIA). The results indicate that a significant part of the knowledge base and skills set of Data Scientists are related with ICT competences/skills, including programming, machine learning and databases. The Data Scientist professional profile has an adequate representativeness in these two frameworks, but it is mainly seen as a multi-disciplinary profile, combining contributes from different areas, such as computer science, statistics and mathematics. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/46380 |
DOI: | 10.1016/j.ijinfomgt.2017.07.010 |
ISSN: | 0268-4012 |
e-ISSN: | 0143-6236 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
IJMI_CC_MYS_2017_inPress.pdf Acesso restrito! | 925,68 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons