The project activities have created a strong foundation to address growing demand for new profession of Data Scientist and related DSA enabled competences and skills in all sectors of European economy and Digital Single Market in particular. The following specific activities were undertaken:
* Researching the main factors defining the demand and supply side of the Data Science related professions and required competences and skills; identifying gaps, challenges and opportunities;
* Defining the foundation components for building sustainable delivery of skilled DSA enabled workforce for European economy, including the European Research Infrastructures (RI) and the European Digital Single Market
* Building a community and network of early adopters and contributors, engaging with and involving the private sector into defining transferable Data Science competences and skills
* Developing a conceptual, methodological and educational framework to assist universities and research organisations in developing their Data Science and data management curricula, programmes and training courses.
EDISON main achievements are falling into the following main groups:
• EDISON Data Science Framework (EDSF) that provides the foundation of the Data Science professional family definition and all other project products and activities;
• EDISON network that includes both the Champion Universities and professional network of experts, educators, researchers and practitioners in Data Science and associated areas, which all consolidated around the Data Science Champions Conference that found support among European universities, research organisations and practitioners.
• Community Portal (
https://www.datasciencepro.eu/(s’ouvre dans une nouvelle fenêtre)) that is designated to coordinate the post-project activity and support the Data Science Professional community.
The main project product the EDISON Data Science Framework (EDSF) is a set of documents and guidelines which are published under the Creative Commons Attribution (CC BY) Open Source license. EDSF Release 2 published on 3 July 2017 consists of the following documents:
* CF-DS – Data Science Competence Framework
* DS-BoK – Data Science Body of Knowledge
* MC-DS – Data Science Model Curriculum
* DSPP - Data Science Professional profiles and occupations taxonomy
The EDSF specifications are defined in accordance with European and international standards and best practices (such as E-CFv3.0 ESCO, IEEE CCS2012 and domain related Bodies of Knowledge) what provides a basis for wide EDSF acceptance and sustainability. The EDSF provides a basis for other components of the Data Science professional ecosystem that include Community Portal, Education Environment and certification scheme.
The project followed a gradual development starting from the defining conceptual components of the proposed EDISON Data Science Framework (EDSF) at the initial stage of the project, its practical implementation in real life environments by cooperating universities and training organisations, and continuing with activities and deliverables that developed post-project sustainability model and roadmap recommendations to the major stakeholder in the Data Science job market to ensure sustainable production and education of skilled Data Science professionals.
In order to maximize the creation of future impacts, the EDISON team has designed and implemented different coordination mechanisms and actively participated in activities organised by third parties. The team engaged in multiple stakeholder groups from the European research community, industry and international professional organisations including research infrastructures. These activities have worked as channels to effectively deliver our result to those ultimately in charge of effectively creating the future skilled Data Science workforce.
