posted by user: demch || 919 views || tracked by 1 users: [display]

FDSEducation 2021 : Frontiers in Data Science Education for Data-Driven Research and Industry, FrontiersIn Special Issue Research Topic

FacebookTwitterLinkedInGoogle

Link: https://www.frontiersin.org/research-topics/23146/data-science-education-for-data-driven-research-and-industry
 
When Sep 12, 2021 - Dec 11, 2021
Where virtual
Abstract Registration Due Dec 12, 2020
Submission Deadline Dec 11, 2021
Final Version Due Dec 11, 2021
Categories    data science   curriculum design   data management   data stewardship
 

Call For Papers

Sustainable development of the modern data-driven economy requires re-thinking and re-design of both traditional educational models and existing courses reflecting the multi-disciplinary nature of Data Science and its application domains. However, at present time most of the existing university curricula and training programs are built based on available courses. Moreover, they cover a limited set of competences and knowledge areas that are related to multiple Data Science and general data management professional profiles and organizational roles, required both in research and industry.

In conditions of continuous technology development and shortened technology change cycle, Data Science education requires an effective combination of theoretical, practical, and workplace skills. The importance of effective use of existing data analytics and data management platforms and tools is growing. For this reason, the hands-on experience and their implementations need to be generically incorporated into modern curriculum design.

This Research Topic is intended to allow educators, researchers, and practitioners to present their research works and share experience on a wide spectrum of research and best practices on education for Data Science, Data Management and Machine Learning, and other emerging data-driven and data-powered professional domains.

This collection focuses on defining essential Data Science and Big Data competences, skills, and (body of) knowledge that could be effectively used for the development of instructional methodologies, teaching techniques, competences assessment, and organizational capacity building and skills management.

It will also benefit from wider sharing of standardized education frameworks for Data Science (such as the EDISON Data Science Framework resulted from EU funded project EDISON) that provide a common approach for Data Science definition and tailored curriculum design for various target professional groups.

The Research Topic welcomes papers discussing topics related to teaching methods, platforms, and best practices in the following areas applied to Data Science and Big Data or closely related to them:

- Data Science competences and skills, Body of Knowledge and Model Curriculum
- Data Management and Data Stewardship, FAIR Data Principles
- Data Stewardship Competences, Education and Training
- Visualization and storytelling in Big Data and Data Analytics
- Data Science process automation: DataOps, MLOps
- Data Science and Big Data education and professional training
- Experiences, Case Studies and Lessons Learned
- Novel or updated teaching methods, online education adoption
- Data Science education as a foundation for Artificial Intelligence
- Establishing Data Science as a new scientific and academic discipline

Keywords: Data Science, Curriculum Design, EDISON Data Science Framework, Data Science Competence Framework, Data Science Body of Knowledge, Data Science Model Curriculum, Data Management, Data Stewardship, DataOps

Related Resources

SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
MDAI 2023   20th International Conference on Modeling Decisions for Artificial Intelligence
ACM ICCBDC 2023   ACM--2023 7th International Conference on Cloud and Big Data Computing (ICCBDC 2023)
INFUS 2023   5th International Conference on Intelligent and Fuzzy Systems
CPS AIBT 2023   CPS--2023 The 2nd International Conference on Artificial Intelligence and Blockchain Technology (AIBT 2023)
DATA 2023   The 4th International Conference on Data Science, E-learning and Information Systems 2023
ICCDA 2023   2023 The 7th International Conference on Computing and Data Analysis (ICCDA 2023)
IEEE ICISPP 2023   IEEE--2023 4th International Conference on Information Security and Privacy Protection (ICISPP 2023)
DIS 2023   6th International Conference on the Dynamics of Information Systems
CBDA 2023   4th International Conference on Big Data