EDISON data science framework: a foundation for building data science profession for research and industry
Data Science is an emerging field of science, which requires a multi-disciplinary approach
and should be built with a strong link to emerging Big Data and data driven technologies …
and should be built with a strong link to emerging Big Data and data driven technologies …
[LIVRE][B] The data science framework: a view from the EDISON project
JJ Cuadrado-Gallego, Y Demchenko - 2020 - books.google.com
This edited book first consolidates the results of the EU-funded EDISON project (Education
for Data Intensive Science to Open New science frontiers), which developed training …
for Data Intensive Science to Open New science frontiers), which developed training …
[PDF][PDF] An approach for e-learning data analytics using SOM clustering
Within the field of e-learning, the accessibility of large amount of learning materials in web-
based education systems often burden students to get the learning materials that they …
based education systems often burden students to get the learning materials that they …
Quantitative and qualitative analysis of current data science programs from perspective of data science competence groups and framework
Data Science is becoming a field connecting multi-year development in areas such as Big
Data and Data Analytics, and also applied domains like Bioengineering. Data Science …
Data and Data Analytics, and also applied domains like Bioengineering. Data Science …
Research on the Construction of Knowledge Graph Oriented to Programming Methodology Course
F Ye, Z **, M Zhai, N Nedjah, X Zhang… - Proceedings of the 2024 …, 2024 - dl.acm.org
The course on programming methodology is integral to computer science and software
engineering education. Knowledge graph has been an interesting topic in recent decades …
engineering education. Knowledge graph has been an interesting topic in recent decades …
Model Curricula for Data Science EDISON Data Science Framework
This paper presents the Data Science Model Curriculum (MC-DS) that is based on the Data
Science Competence Framework and Data Science Body of Knowledge defined in EDISON …
Science Competence Framework and Data Science Body of Knowledge defined in EDISON …
Experience with Problem-Based Learning in a hybrid classroom
Constructive alignment has been shown to elicit higher levels of learning among students.
Problem-based Learning is one of the forms of constructive alignment often used in …
Problem-based Learning is one of the forms of constructive alignment often used in …
The Data Science Framework
JJ Cuadrado-Gallego, Y Demchenko - A View from the EDISON Project, 2020 - Springer
From Juan J. Cuadrado-Gallego and Yuri Demchenko We want to give our
acknowledgements to the European Commission that under the code 675419 funds the …
acknowledgements to the European Commission that under the code 675419 funds the …
Data science model curriculum implementation for various types of big data infrastructure courses
This paper presents experiences of development and teaching three different types of Big
Data Infrastructure courses as a part of the general Data Science curricula. The authors built …
Data Infrastructure courses as a part of the general Data Science curricula. The authors built …
[PDF][PDF] Teaching Users to Work with Research Data: Case Studies in Architecture, History and Social Work
A Addison, J Moore - IASSIST Quarterly, 2016 - iassistquarterly.com
Teaching Users to Work With Research Data: Page 1 IASSIST QUARTERLy 2015 39 IASSIST
QUARTERLy Abstract A tailored approach is ideal for teaching users to work with research …
QUARTERLy Abstract A tailored approach is ideal for teaching users to work with research …