Matches in SemOpenAlex for { <https://semopenalex.org/work/W3177172542> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W3177172542 abstract "Emerging data driven economy including industry, research and business, requires new types of specialists that are capable to support all stages of the data lifecycle from data production and input to data processing and actionable results delivery, visualisation and reporting, which can be jointly defined as the Data Science professions family. Data Science is becoming a new recognised field of science that leverages the Data Analytics methods with the power of the Big Data technologies and Cloud Computing that both provide a basis for effective use of the data driven research and economy models. Data Science research and education require a multi-disciplinary approach and data driven/centric paradigm shift. Besides core professional competences and knowledge in Data Science, increasing digitalisation of Science and Industry also requires new type of workplace and professional skills that rise the importance of critical thinking, problem solving and creativity required to work in highly automated and dynamic environment. The education and training of the data related professions must reflect all multi-disciplinary knowledge and competences that are required from the Data Science and handling practitioners in modern, data driven research and the digital economy. In modern conditions with the fast technology change and strong skills demand, the Data Science education and training should be customizable and delivered in multiple forms, also providing sufficient lab facilities for practical training. This paper discusses aspects of building customizable and interoperable Data Science curricula for different types of learners and target application domains. The proposed approach is based on using the EDISON Data Science Framework (EDSF) initially developed in the EU funded Project EDISON and currently being maintained by the EDISON Community Initiative." @default.
- W3177172542 created "2021-07-05" @default.
- W3177172542 creator A5015025274 @default.
- W3177172542 creator A5017479397 @default.
- W3177172542 creator A5024354063 @default.
- W3177172542 creator A5043117710 @default.
- W3177172542 date "2021-04-21" @default.
- W3177172542 modified "2023-09-25" @default.
- W3177172542 title "EDISON Data Science Framework (EDSF): Addressing Demand for Data Science and Analytics Competences for the Data Driven Digital Economy" @default.
- W3177172542 cites W2053003905 @default.
- W3177172542 cites W2282105403 @default.
- W3177172542 cites W2777781996 @default.
- W3177172542 doi "https://doi.org/10.1109/educon46332.2021.9453997" @default.
- W3177172542 hasPublicationYear "2021" @default.
- W3177172542 type Work @default.
- W3177172542 sameAs 3177172542 @default.
- W3177172542 citedByCount "1" @default.
- W3177172542 countsByYear W31771725422023 @default.
- W3177172542 crossrefType "proceedings-article" @default.
- W3177172542 hasAuthorship W3177172542A5015025274 @default.
- W3177172542 hasAuthorship W3177172542A5017479397 @default.
- W3177172542 hasAuthorship W3177172542A5024354063 @default.
- W3177172542 hasAuthorship W3177172542A5043117710 @default.
- W3177172542 hasBestOaLocation W31771725422 @default.
- W3177172542 hasConcept C111919701 @default.
- W3177172542 hasConcept C124101348 @default.
- W3177172542 hasConcept C136764020 @default.
- W3177172542 hasConcept C175801342 @default.
- W3177172542 hasConcept C17744445 @default.
- W3177172542 hasConcept C199539241 @default.
- W3177172542 hasConcept C20136886 @default.
- W3177172542 hasConcept C2522767166 @default.
- W3177172542 hasConcept C41008148 @default.
- W3177172542 hasConcept C56739046 @default.
- W3177172542 hasConcept C75684735 @default.
- W3177172542 hasConcept C79158427 @default.
- W3177172542 hasConcept C79974875 @default.
- W3177172542 hasConcept C8795937 @default.
- W3177172542 hasConceptScore W3177172542C111919701 @default.
- W3177172542 hasConceptScore W3177172542C124101348 @default.
- W3177172542 hasConceptScore W3177172542C136764020 @default.
- W3177172542 hasConceptScore W3177172542C175801342 @default.
- W3177172542 hasConceptScore W3177172542C17744445 @default.
- W3177172542 hasConceptScore W3177172542C199539241 @default.
- W3177172542 hasConceptScore W3177172542C20136886 @default.
- W3177172542 hasConceptScore W3177172542C2522767166 @default.
- W3177172542 hasConceptScore W3177172542C41008148 @default.
- W3177172542 hasConceptScore W3177172542C56739046 @default.
- W3177172542 hasConceptScore W3177172542C75684735 @default.
- W3177172542 hasConceptScore W3177172542C79158427 @default.
- W3177172542 hasConceptScore W3177172542C79974875 @default.
- W3177172542 hasConceptScore W3177172542C8795937 @default.
- W3177172542 hasLocation W31771725421 @default.
- W3177172542 hasLocation W31771725422 @default.
- W3177172542 hasOpenAccess W3177172542 @default.
- W3177172542 hasPrimaryLocation W31771725421 @default.
- W3177172542 hasRelatedWork W1579710151 @default.
- W3177172542 hasRelatedWork W2777112960 @default.
- W3177172542 hasRelatedWork W3097243301 @default.
- W3177172542 hasRelatedWork W3117911048 @default.
- W3177172542 hasRelatedWork W3171568351 @default.
- W3177172542 hasRelatedWork W3180337491 @default.
- W3177172542 hasRelatedWork W4200020201 @default.
- W3177172542 hasRelatedWork W4214869855 @default.
- W3177172542 hasRelatedWork W4287605407 @default.
- W3177172542 hasRelatedWork W4298211017 @default.
- W3177172542 isParatext "false" @default.
- W3177172542 isRetracted "false" @default.
- W3177172542 magId "3177172542" @default.
- W3177172542 workType "article" @default.