Academic Supply For Data Science
- Matthias Hemmje (FernUniversität in Hagen)
On behalf of the EDISON consortium, we kindly invite you to participate in its first workshop on the Academic Supply to Data Science.
The emergence of Data Science technologies is having an impact on nearly every aspect of how research is conducted. Data Science is considered as main enabler and facilitator of the Open Science Initiative for the European Research Area (ERA).
The effective use of Data Science technologies requires new skills and demands for new professions, usually referred as the Data Scientist: an expert who is capable both to extract meaningful value from the data collected and also manage the whole lifecycle of Data, including supporting Scientific Data e-Infrastructures. The future Data Scientists must possess knowledge (and obtain competencies and skills) in data mining and analytics, information visualisation and communication, as well as in statistics, engineering and computer science, and acquire experiences in the specific research or industry domain of their future work and specialisation.
The Horizon 2020 EDISON project (September 1, 2015 August 30, 2017) will develop a sustainable business model that will ensure a significant increase in the number and quality of data scientists graduating from universities and being trained by other professional education and training institutions in Europe. This will be accomplished through the development of a number of inter-connected activities including the definition of required Data Science competences and skills and the Data Science Body of Knowledge as a foundation for the following definition of the Data Science model curriculum.
EDISON will work in close co-operation with experts and practitioners involved and interested in the development of Data Science academic educational and professional training programmes. The target is to discuss and to describe new outlines of professions in the field of data scientist for academic and industrial purpose. This cooperation will take place in consultation and validation activities and roundtables with relevant stakeholders and institutions.
The EDISON Body of Knowledge will be structured following the major knowledge areas that represent the data lifecycle and organizational workflow to use data to achieve their main operational goals. This workshop will present interim project results and establish an open dialogue across communities to characterize the existing education and training resources in order further the development and validation of the Body of Knowledge.
Participants are invited to contribute to:
- The EDISON inventory and taxonomy by providing an overview of existing curricula, training programmes and related educational resources
- Determining the Body of Knowledge for Data Science, identify and discuss common conceptual elements and gaps among the existing offerings
- The development of the Data Science Model Curriculum
- The formalization of the Data Scientist profession
Universities and scholars involved in Data Science academic programmes who are willing to engage in an open dialogue about the determination of the EDISON Body of Knowledge and the development of the Data Science Model Curriculum.
Participants will benefit through:
- Reviewing, discussing and, where appropriate, endorsing recommendations related to the formalization of the Data Science profession and required educational and training programmes.
- Being part of an ongoing open dialogue across communities