Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer
Data-Centric Engineering is an emerging branch of science that certainly will take on a leading role in data-driven research. We live in the Big Data era with huge amounts of available data and unseen computing power, and therefore a crafty combination of Statistics (or, in more modern terms, Data S...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2020-01-01
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| Series: | Data-Centric Engineering |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2632673620000027/type/journal_article |
| _version_ | 1811156508840296448 |
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| author | Christophe Ley Mike Tibolt Dirk Fromme |
| author_facet | Christophe Ley Mike Tibolt Dirk Fromme |
| author_sort | Christophe Ley |
| collection | DOAJ |
| description | Data-Centric Engineering is an emerging branch of science that certainly will take on a leading role in data-driven research. We live in the Big Data era with huge amounts of available data and unseen computing power, and therefore a crafty combination of Statistics (or, in more modern terms, Data Science), Computer Science and Engineering is required to filter out the most important information, master the ever more difficult challenges of a changing world and open new paths. In this paper, we will highlight some of these aspects from a combined perspective of a statistician, an engineer and a software developer. In particular, we will focus on sound data handling and analysis, computational science in Structural Engineering, data care, security and monitoring, and conclude with an outlook on future developments. |
| first_indexed | 2024-04-10T04:51:48Z |
| format | Article |
| id | doaj.art-a86b9f5c178e4afdb1ae1732edf255f1 |
| institution | Directory Open Access Journal |
| issn | 2632-6736 |
| language | English |
| last_indexed | 2024-04-10T04:51:48Z |
| publishDate | 2020-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data-Centric Engineering |
| spelling | doaj.art-a86b9f5c178e4afdb1ae1732edf255f12023-03-09T12:31:42ZengCambridge University PressData-Centric Engineering2632-67362020-01-01110.1017/dce.2020.2Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developerChristophe Ley0https://orcid.org/0000-0002-2290-8437Mike Tibolt1Dirk Fromme2Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Gent, BelgiumArcelorMittal, ArcelorMittal Global R&D, Esch-sur-Alzette, Luxembourg3plusplus GmbH, Sonsbeck, GermanyData-Centric Engineering is an emerging branch of science that certainly will take on a leading role in data-driven research. We live in the Big Data era with huge amounts of available data and unseen computing power, and therefore a crafty combination of Statistics (or, in more modern terms, Data Science), Computer Science and Engineering is required to filter out the most important information, master the ever more difficult challenges of a changing world and open new paths. In this paper, we will highlight some of these aspects from a combined perspective of a statistician, an engineer and a software developer. In particular, we will focus on sound data handling and analysis, computational science in Structural Engineering, data care, security and monitoring, and conclude with an outlook on future developments.https://www.cambridge.org/core/product/identifier/S2632673620000027/type/journal_articleBig Datadata sciencedata securityeducationstructural engineering |
| spellingShingle | Christophe Ley Mike Tibolt Dirk Fromme Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer Data-Centric Engineering Big Data data science data security education structural engineering |
| title | Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer |
| title_full | Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer |
| title_fullStr | Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer |
| title_full_unstemmed | Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer |
| title_short | Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer |
| title_sort | data centric engineering in modern science from the perspective of a statistician an engineer and a software developer |
| topic | Big Data data science data security education structural engineering |
| url | https://www.cambridge.org/core/product/identifier/S2632673620000027/type/journal_article |
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