EDISON

EDISON Kick off meeting round table discussion

Why does Data Science matter?

The emergence of Data Science technologies is having an impact on nearly every aspect of how research is conducted, how scientists think, and how research data are used and shared. The EU-funded EDISON Project is putting in place foundation mechanisms that will speed-up the increase in the number of competent and qualified Data Scientists across Europe and beyond. The EDISON initiative is doing this through various measures aimed at reducing the gap between the supply side of educators and trainers and the demand side of employers. The EDISON Data Science Framework (EDSF) is based around a group of tightly related documents namely the Competence Framework, the Body of Knowledge and the Model Curriculum; the various processes that exist to keep the information within these documents fresh and relevant are almost equally as important.

How can EDISON help?

The material and information contained within this section has prepared to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. Furthermore, the EDISON team are keen to assist in this exploitation and learn from its utilisation.

The EDISON Initiaitive collection is an expanding volume of integrated reports and descriptions that collectively make up a book which forms a comprehensive picture of the EDISON initiative at any point in time.

The focus of the collection is the EDISON Data Science Framework (EDSF). Whilst the EDSF is based around a group of tightly related documents namely the Competence FRamework, the Body of Knowledge and the Model Curriculum, the various processes that exist to keep the information within these documents freahs are almost equally as important. Therefore the activities of the Expert Liaison Groups, the Education and Training Champions as well as the ongoing fieldwork and research should be considered as valuable components of the Framework.

How can I get involved?

We very much welcome interaction and collaboration with others interested in this field.

To keep in touch with activity please join our mailing list: edison-net

SIgn-up to edison-net here:  https://list.uva.nl/mailman/listinfo/edison-net 

 

 

EDISON logo
EDISON logo
EDISON poster on the wall at an event
EDISON poster on the wall at an event

Data scientist profession

IDCC 2016 - Amsterdam - CODATA/EDISON workshop

How should we define the Data Science professions?

Data Science is a complex profession, where several competences from multiple disciplines have to be combined to identify a profile of professional competences that are required more and more in several employment contexts and stakeholder domains.

The employment market segments for data scientists range from pure e-Science driven by research communities, to applications of Data Science Professionals in Public Institutions like e.g. Memory Institutions as well as to any industry sectors and corresponding labour market segments, from pharmaceutical, to manufacturing, aerospace, energy, etc

Defining the Data Science profession: we would love to hear your views too

EDISON will put in place foundation mechanisms that, in the long term, will speed-up the increase in the number of competent and qualified Data Scientists in Europe. Whilst EDISON cannot guarantee a specific increase in the number of Data Scientists, the project success can be measured by the delivery of products and services that will lead to the required increase in the near future. For this reason the project objectives are determined by specific, measurable, attainable, realistic and time-limited products and services that will establish the conditions for this increase in Data Scientists to occur.

The emergence of Data Science technologies is having an impact, at a fundamental level, on nearly every aspect of how research is conducted, how the scientists think, and how research data are used and shared.

What skills will tomorrow's Data Scientists need?

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 posses 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. We call this profession the Data Science Professional (DSP).

The establishment of the Data Scientist as a new profession is a long process, starting from the solid theoretical background all the way to the practical process of certifying the acquired skills. As CSA project, EDISON ultimately aims to accelerate such a process by coordinating the vision and activities of the stakeholders and supporting them in seizing the benefits of such efforts.

EDISON Project

EDISON Kick off meeting team photo

The Horizon 2020 EDISON project (1 September 2015 – 31 August 2017) aims to establish the data scientist as a profession. This will be achieved by aligning industry needs with available career paths, and supporting academies in reviewing their curricula with respect to expected profiles, required expertise and professional certification. This will result in 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.

All of this will be accomplished through the development of a number of inter-connected activities including a dialogue between professional sectors and academia for the definition of required skills and competences, a widely recognized definition of a Data Science Competence Framework (CF-DS) and related profiles together with a corresponding Data Science Body of Knowledge (DS-BoK) and related Model Curriculum (MC-DS).

To these ends the project will work in close co-operation with industry experts and research practitioners involved and interested in the development of data scientist profession, now a mainstream feature of the European scientific landscape.

In order to maximise the impact of the EDISON project as a two-year Coordination and Support Action we are assembling the outputs and achievements of the project into a framework that can be used by practitioners from all areas of the Data Science, both during and following the lifetime of the project. This EDISON Data Science Framework (EDSF) comprises a range of crucial documents that formally capture key elements of the DS profession, various ongoing processes that can ensure that the relevance of the information is maintained and finally there will be a collection of guidelines and discussion documents that enable optimal use to be made of the Framework.

Objectives

The establishment of the Data Scientist as a new profession is a long process, starting from the solid theoretical background all the way to the practical process of certifying the acquired skills.

As CSA project, EDISON ultimately aims to accelerate such a process by coordinating the vision and activities of the stakeholders and supporting them in seizing the benefits of such efforts.

EDISON is aimed at consolidating the basis for the long term process of Data Scientist as Profession and ensuring a significant increase of the number of academically trained and professionally endorsed Data Scientists in the next decade. The following are the more specific and measurable project objectives:

Objective 1: Promote the creation of Data Scientists curricula by an increasing number of universities and professional training organisations. Increasing the number of universities offering Data Science programs is essential in order to respond to the increased demand of the European research, industry and public sectors. In order to support Universities in providing Data Science education the project will develop and implement a model curriculum in cooperation with the major stakeholders in the data driven science and industry. 

Objective 2: Provide conditions and environment for re-skilling and certifying Data Scientists expertise to graduates, practitioners and researchers throughout their careers.  To provide conditions for a sustainable increase in the number of Data Scientists in Europe, EDISON will also support the training by professional organisations of the self-made expert, in the light of reaching the target number of graduates that gradually will satisfy the level of research and industry demand in coming 5-8 years. 

Objective 3: Develop a sustainable business model and a roadmap to achieve a high degree of competitiveness for European education and training on Data Science technologies, provide a basis for the formal recognition of the Data Scientist as a new profession, including supporting the future establishment of formal certification for practicing “self-made” Data Scientists. 

Work Packages

The EDISON project will be delivered through the execution of five coordinated work packages.

Work package 1 – Coordination and Management

This work packages is responsible for all tasks and activities to ensure a smooth execution of the project.

 

Work package 2 – Educational Focus and Data Science Body Knowledge

This work package will collect and analyse information to define the required competences and skills for the Data Scientists working in different research fields and industry domains, and based on this we define required knowledge domains to be included into education and training programs; this will be defined as a Competences Framework for Data Science (CF-DS).

 

Work package 3 – Development and Reference Implementation Strategy

This work package will connect the theoretical results achieved in WP 2 into concrete actions and use cases for the target communities selected and nurtured by EDISON. The work package will develop the EDISON Educational and Training Model and its central component the Model Curriculum for Data Science (MC-DS) to be adopted in support of the three piloting use cases.

 

Work package 4 – Sustainability and Certification of Data Scientist Profession

WP4 develops and implements a strategy to ensure the exploitation of the EDISON Educational and Training Model through the definition of the service portfolio based on the outputs of WP2 and WP3, the business models and strategy that should ensure the sustainable of the EDISON developments.

 

Work package 5 – Dissemination and Engagement

The purpose of this work package is to manage the communication activities and outward interactions necessary for the successful delivery of the EDISON project’s overall objectives including the post-project impact objectives.

 

More detailed information about the structure, aims and activities of the project will be available shortly.

Partners

The EDISON consortium has been formed as a compact nucleus of seven complimentary partners from across Europe.

The partners represent universities (Amsterdam, Stavanger and Southampton), research institutions (FTK), research infrastructures (The European Grid Infrastructure), large enterprises (Engineering - Ingegneria Informatica s.p.a.) and SMEs (Inmark). The consortium represents six countries from across Europe (NL, NO, UK, DE, IT, ES).

Engineering - Ingegneria Informatica s.p.a – IT

Engineering was founded in 1980, and it is currently the first IT group in Italy, among the top 10 IT groups in Europe, with over 7.000 employees and 40 branch offices in Italy, Belgium, Latin America and USA.

Since 1987, Engineering innovation capability is supported by its Central Unit of Research & Development, with around 250 researchers currently involved in over 50 research projects co-funded by national and international authorities. The R&D Unit is located across 6 different locations in Italy and in Europe, with a shared investment of 30 millions of euro for the year 2013.

 

Personnel

Andrea Manieri has a degree in Computer Science and is a Business Developer and Trainer at Engineering.

Isabel Matranga (Cloud Computing Lab) has a degree in Political Sciences from the University of Palermo and works within the R&D unit on ‘Infrastructures for distributed computing’ mainly taking care of the dissemination of project results, the identification of exploitation and sustainability strategies and the management of EU funded projects.

Nadia Nardi (Cloud Computing Lab) earned a Bachelor of Commerce in Information Technology Management from Ryerson University (2004) in Toronto, Canada. Having been with Engineering sice 2006, she recently joined the Research and Development Unit as a Project Manager.

Grazia Cazzin (SpagoBI Lab) is the SpagoBI Labs Director in the Research and Innovation Division of Engineering Ingegneria Informatica.

Ferdinando LoRe (Engineering Academy) is manager of the Corporate Training team in the Engineering Academy.

European Grid Initiative (EGI.eu) – NL

The Stichting European Grid Initiative (also referred to as “EGI.eu”) is a not-for-profit foundation established under Dutch law to coordinate and manage the European Grid Infrastructure (EGI) federation on behalf of its members: National Grid Initiatives (NGIs) and European International Research Organisations (EIROs).

EGI.eu offers a variety of services to the wider EGI community such overseeing infrastructure operations, coordinating user community support, working with technology providers, representing EGI in collaborative projects, steering strategy and policy development, organising flagship events and publicizing the community’s news and achievements.

 

Personnel

Dr. Tiziana Ferrari is Technical Director of EGI.eu, and the project director of the EGI-InSPIRE FP7 project.

Yannick Legré is the director of EGI.eu since February 2014.

Sergio Andreozzi is leading the EGI Strategy and Policy Development activities, including the business engagement programme, sustainability and solution portfolio management.

Sy Holinger is member of the Strategy and Policy team at EGI.eu, with a focus on service cost modelling, business development and federated service management.

Owen Appleton is an internal consultant for EGI.eu on policy and sustainability, and is managing director of Emergence Tech Limited, a UK management consultancy.

Peter Solagna is the European Grid Infrastructure Senior Operations Manager

Dr. Sara Coelho works in the EGI.eu communications team implementing and leading on many aspects of the the communications strategy for the organisation and the EGI-InSPIRE project. 

Inmark Estudios y Estrategias S.A - ES

INMARK is a business and marketing consulting firm based in Madrid, with a large experience accrued in participating in 48 EU funded RTD and Innovation Projects.

INMARK has a track record of 35 years in business in Europe and Latin America. INMARK has branches in 7 countries, totalling some 200 qualified staff members.

Since 1992 INMARK has been involved as Coordinator and/or responsible for Dissemination and Exploitation in projects co-financed by the EC, mainly in the area of ICT and International Cooperation.

 

Personnel

Ruben Riestra, director and shareholder of INMARK, is an Engineer and MBA with 34 years’ experience in marketing and business consultancy.

Sabina Guaylupo is senior consultant at INMARK and possesses a Law degree and a Master in International Law.

Maria Eugenia Beltrán is an Information Systems Engineer and senior consultant at INMARK, she holds an MBA in International Management 

Research Institute for Telecommunication and Cooperation (FTK) – DE

Since its foundation as an interdisciplinary research organisation closely related to University of Hagen (FernUniversität in Hagen, FUH) in 1991, the work of FTK - Research Institute for Telecommunication and Cooperation (FTK e.V. Forschungsinstitut für Telekommunikation und Kooperation, FTK) concentrates on the area of Information and Communication Technologies (ICT).

An interdisciplinary team with well- founded research background paired with an expanded network to all important stakeholders in the field of ICT makes FTK a leading institution for the development and implementation of innovation strategies for business and administration in the ICT area. The institute is organized as a non-profit membership organisation and is statutory pursuing objectives in the public interest.

 

Personnel

Matthias Hemmje is affiliated as full professor for Computer Science with the Distance University in Hagen, Department of Mathematics and Computer Science, where he holds the Chair of Multimedia and Internet Applications.

Dominic Heutelbeck (Ph.D. in Computer Science), the General Manager of FTK, received his Dr. rer. nat. in Computer Science at the FernUniversität in Hagen.

Holger Brocks is a computer scientists who graduated from the Universität Trier.

University of Amsterdam – NL

The System and Network Engineering (SNE) Research group at the University of Amsterdam researches cross-domain interaction to enable complex and data intensive scientific applications.

The research themes within the System and Network Engineering (SNE) Research group cover a wide range of disciplines ranging from optical and programmable networks for the Future Internet to high level distributed system model and software engineering. The group is building tools and proof of concept applications that promote optimal use of these high-speed networks for data intensive application.

SNE works also in close collaboration with the Amsterdam Data Science which is a platform for collaboration cross discipline around the data science theme. In collaboration with SURFnet and the Dutch National super computer centre (SURFsara), UvA has capabilities to access high-speed optical test bed installations in the optical photonic backbone of SURFnet in the Netherlands and internationally in the Global Lambda Integrated Facility (GLIF). UvA is a founding member and key contributor to CineGrid, GLIF and OGF14.

 

Personnel

Dr. Yuri Demchenko (Principal Investigator): Yuri Demchenko is a Senior Researcher at the System and Network Engineering.

Dr. Adam S.Z. Belloum (course coordinator and developer) is assistant professor in the System and Network Engineering research group at the Institute of Informatics.

Dr. Ana Varbansecu (course coordinator and developer): is assistant professor in the System and Network Engineering research group at the Institute of Informatics.

Manuela Corsini project manager for EU funded projects

Prof. Cees T.M. de Laat  chairs the System and Network Engineering (SNE) research group, and is a leading figure in the systems and infrastructure research in the Netherlands and internationally.

Dr. Wouter Los is a former chair of the Science Committee of the Global Biodiversity Information Facility, and designed and managed the development of the (ESFRI) LifeWatch infrastructure for biodiversity and ecosystem research, and also a member of the EC High Level Group that edited the report “Riding the Wave”.

University of Stavanger - NO

CIPSI is a research Centre for IP-based Service Innovation. Hosted at the University of Stavanger, CIPSI core competences are in the fields of Big Data, Machine Learning, and Cloud Computing.

The CIPSI center is enrolled in several research and education projects in the above areas, including i.a. development, hosting, and deployment of Cloud Data Hub for Smart Cities (Horizon 2020), optimization methods for environment sensor data (EU FP 7), data analytics methods for Smart Houses (Norwegian Research Council). These activities provide good understanding of various data science requirements.

CIPSI is also involved in IEEE Special Technical Committee on Cloud Computing, IEEE CloudCom conference series, which together with related activities provide unparalleled opportunities for dissemination of project results.

 

Personnel

Tomasz Wiktorski is an Associate Professor at CIPSI, University of Stavanger, Norway. He is also an Adjunct Associate Professor at Computer and Information Technology, Purdue University, USA.

Professor Erdal Cayirci is the Head, CAX Support Branch in NATO's Joint Warfare Center in Stavanger, Norway, and also a professor in the CIPSI center at UiS. 

University of Southampton – UK

The Faculty of Natural and Environmental Science (FNES) is one of the largest and most successful natural and environmental science faculties in the UK, educating a range of professionals and generating research of the highest quality.

Within this the Frey Group operates a “living lab” approach to scientific research and embraces a range of e-science practices and projects.

In parallel computationally based research, the group investigates how e-Science infrastructure can support scientific research with an emphasis on the way appropriate use of laboratory infrastructure can support the intelligent access to scientific data. Previously, within the UK e-Science programme, the CombeChem project (http://www.combechem.org) looked at the ways in which e-Science and Web infrastructure can be developed to provide support for and carry out chemical research.

 

Personnel

Jeremy Frey is Professor of Physical Chemistry and Head of the Computational Systems Chemistry Group and the Frey Group.

Steve Brewer is Network Coordinator of IT as a Utility (ITaaU), one of the 4 sub-themes of the Research Council UK’s interdisciplinary Digital Economy programme.

Frequently Asked Questions

UvA in spring

What is the EDISON project?

What will EDISON deliver?

Who are the EDISON partners?

How can I get involved?

What is a data scientist?

What sort of people make it as data scientists?

When will EDISON deliver its outputs?

Why do we need EDISON if there is such a demand for data scientists?

Where will EDISON make an impact?

What do you mean by building the data scientist profession?

What other services will EDISON provide to assist with the process of furthering the Data Science profession?

 

What is the EDISON project?

  • EDISON is a 2-year EU-funded project that has been set up, starting from September 2015, to pursue the establishment of the data scientist as a new profession in support of e-Infrastructure needs and beyond. Demand for data scientists exists beyond the research infrastructure domain in all areas from research to commerce as well as policy-making and other matters of governance. Understanding the needs of the broader market will guide us in helping define the learning needs for data scientists as well as the additional soft-skills that will equip them for long and fruitful careers.

What will EDISON deliver?

  • EDISON has been structured to deliver a collection of specific products that will have a positive and marked influence on the establishment of the data science profession and provide a basis for coordinated work between the demand and supply sides. The core of this collection is three packages that will have captured the key elements of the platform that connects the suppliers of trained data scientists with the organisations that have need of such professionals. These publically available documents will formally define the data scientist profession through a Data Science Competence Framework (CF-DS) that will provide a methodological basis for designing the Data Science curriculum for universities and professional training institutions based on a Data Science Body of Knowledge (DS-BoK) and a Data Science Model Curriculum (MC-DS).

Who are the EDISON partners?

  • The core EDISON consortium comprises seven partners from different countries across Europe. Namely: University of Amsterdam, University of Stavanger, University of Southampton, Research Institute for Telecommunication and Cooperation (FTK), European Grid Initiative (EGI.eu), Engineering (Ingegneria Informatica s.p.a.) and Inmark Estudios y Estrategias. These organisations are represented by a team of highly motivated individuals experienced in many aspects of the big data landscape covering academia, industry and research infrastructure. However, others with interests in this area are welcome to get involved.

How can I get involved?

  • We are very keen to gather input, feedback and ultimately take-up and endorsement from those across Europe and beyond, with interests in the establishment of the data scientist profession. As the project unfolds we will announce a range of mechanisms whereby interested parties can get involved. These will range from workshops and talks, to questionnaires and surveys, to champions and liaison groups. See our website for further details: http://edison-project.eu

What is a data scientist?

  • There is no clear definition so far of what a data scientist is, but there is a lively debate on the topic and more importantly a lively market of recruiters offering to pay good salaries for what they perceive is a key role for the future. The consensus appears to be that a data scientist role is something between a data analyst, a statistician and a computer scientist but having sufficient domain specific knowledge and possessing of other pioneering scientific research qualities too. Another perspective on this complex role is sometimes referred to as a “T” shaped skill set. By this, it is implied that individuals possess a breadth of skills such as academic curiosity, story telling, product sense, engineering etc. but also deep statistical and machine learning competences for example. Furthermore, we believe that tomorrow’s Chief Executive Officers will be pooled from these data scientists of today. Such individuals will possess the insight, experience and wisdom to lead the major enterprises of tomorrow in an increasingly data-centric world.

What sort of people make it as data scientists?

  • This is a good question. The answer is something that the EDISON project is determined to find out. The courses that are delivering data scientists today are probably too heterogeneous to provide a clear answer, and the employers that are recruiting data scientists are probably equally as diverse. The honest answer is that it is too early to say. But those that do have what it takes are destined to go a long way.

When will EDISON deliver its outputs?

  • EDISON is currently set to run until August 2017. By this time we will have delivered our formal analysis of the Competence Framework, Body of Knowledge and Model Curriculum. However, we will have produced draft versions of these documents by early 2016 that will be made available for public review and discussion. We will ultimately have amassed a wealth of data in producing these documents and we will also have assembled a network of interested and knowledgeable individuals from various sectors and domains with strong interests in the profession. We envisage that the near-final outputs will emerge during the course of the second year of the project, in time for us to see, capture and exploit the benefits of these deliverables. The first year will largely be about awareness raising, both of the project activities and the emergent profession, and also engagement with a view to fact-finding and commenting on the works in progress.

Why do we need EDISON if there is such a demand for data scientists?

  • EDISON has been created because we feel there is a clear mismatch between the supply side and the demand side of the data scientist pipeline. Moreover, as the demand for what is understood to be data scientist grows more rapidly, this gap becomes ever wider. We believe that this model is more complex but yet addressable. The two-sides of the marketplace – education and training suppliers – and research and commercial employers on the demand side – can be much better understood and supported, and in doing so, EDISON can play a role in supporting a network or platform that helps orchestrate the players in order to maximise the matching of data scientists to jobs.

Where will EDISON make an impact?

  • In playing this matchmaking role between the activities of the educators and needs of the employers, EDISON will make an impact on both sides of the equation, and in doing so, raise the applicability and hence salaries of the data scientists.
  • EDISON will make an impact on the quality and competitiveness of academic and professional training programmes by providing a Data Science Competence Framework (CF-DS), Data Science Body of Knowledge (DS-BoK) and Data Science Model Curriculum (MC-DS) that will incorporate the best academic and industry practices and expert experience obtained through our outreach and engagement. In particular through knowledge gathered and ratified through our EDISON Liaison Groups (ELG) and Champion Universities.)

What do you mean by building the data scientist profession?

  • For all of the above efforts and activities to really hit home we believe that EDISON has also to support the process of endorsing the courses and certificates that individuals need and accrue in their quest to become the key professionals of tomorrow. This will also involve identifying and collaborating with the bodies and institutions that will endorse and ratify the professionals as they build their status.

What other services will EDISON provide to assist with the process of furthering the Data Science profession?

  • The project will establish an Education and Training platform and also an Education and Training Marketplace. The purpose of these is to support Universities in setting up new courses and to this end virtual labs with specially provide datasets will be made available.

Expert Liaison Groups - ELG

Amsterdam vista along River IJ

The ELGs act like an advisory board comprising experts in fields that encompass the key stakeholder groups related to the data science profession. Three groups have been established covering the key areas related to the data science profession. The groups meet periodically to review the ideas and outputs emerging from the work of the EDISON project and also contribute to lively and constructive discussions reflecting the interests and experiences of the ELG members.

Overview

Three ELGs have been established, bringing together three interest groups with relevant members:

  • ELG Universities (academic scholars and officers)
  • ELG Employer Sectors (from public and private research organisations and infrastructures, public administrations, and industry)
  • ELG Data Experts (data scientists from a range of scientific and technical domains)

The Liaison Groups serve as a key channel for facilitating structured dialogue between professional sectors, academia and the EDISON project.

These groups will discuss in prospective terms, alignment of education to (scientific, public and private) market needs, and the exploitation potential and business models to implement EDISON results.

The Liaison Groups will comment on and contribute to documents during all stages of their creation. Group members will also act as champions of the formal outputs of the project within their respective organisations and communities.

Motivation

The EDISON project seeks to work in close co-operation with the initiatives, experts and practitioners involved in data science and/or in the development of data science training in the European scientific landscape. Three EDISON Liaison Groups (ELG) have been convened to involve representatives (experts and pioneers) from three domains: academia, employer sectors, and also recognized data experts from different disciplines interested in advising the project team. The ultimate aim is to configure a critical mass of stakeholders to secure the long-term sustainability of the profession. The Liaison Groups also serve as a key channel for facilitating structured dialogue between industry, researchers and users. The membership of these groups will grow during the project and may change over time. At the time of writing in the winter of 2016 we have around forty-five ELG members in total and are up to full capacity.

Meetings

Bari, Italy - Friday 13th November, 2015

Amsterdam, The Netherlands - Tuesday 5th April, 2016

Krakow, Poland - Tuesday 27th September, 2016

Further meetings to be arranged...

Expert Liaison Groups - Terms of Reference

EDISON

Liaison Groups

 Terms of Reference (overview)

 

Introduction

The Horizon 2020 EDISON project (1 September 2015 – 31 August 2017) aims to establish the data scientist as a profession. This will be achieved by aligning industry needs with available career paths, and supporting academies in reviewing their curricula with respect to expected profiles, required expertise and professional certification. This will result in 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.

All of this will be accomplished through the development of a number of inter-connected activities including a dialogue between professional sectors and academia for the definition of required skills and competences, a widely recognized definition of a Data Science Competence Framework (CF-DS) and related profiles together with a corresponding Data Science Body of Knowledge (DS-BoK) and related Model Curriculum (MC-DS).

To these ends the project will work in close co-operation with industry experts and research practitioners involved and interested in the development of data scientist profession, now a mainstream feature of the European scientific landscape.

This co-operation is shaped in the EDISON Liaison Groups (ELG). The ELGs serve as a networking platform for high-level interaction between the involved stakeholders and the EDISON project.

 

Purpose of the ELGs

Three ELGs are established, bringing together three interest groups with relevant members:

  • ELG Universities (academic scholars and officers)
  • ELG Employer Sectors (from public and private research organisations and infrastructures, public administrations, and industry)
  • ELG Data Experts (data scientists from a range of scientific and technical domains)

The Liaison Groups serve as a key channel for facilitating structured dialogue between professional sectors, academia and the EDISON project.

These groups will discuss in prospective terms, alignment of education to (scientific, public and private) market needs, and the exploitation potential and business models to implement EDISON results.

The Liaison Groups will comment on and contribute to documents during all stages of their creation. Group members will also act as champions of the formal outputs of the project within their respective organisations and communities.

 

ELG Members

Position and role of ELG members

Members of the ELGs are recognized experts and practitioners from relevant organisations and communities and they contribute to the discussions in their own right. 

The members should be in a position to promote awareness and acceptance of the project results and to increase its impact through their own networks and connections. As such, they are expected to publicly share the objectives of the EDISON project, to actively contribute to the discussions and to promote the project results for their organization, country and communities.

Prospective members should not underestimate the active contribution that will be required in this role. In return, ELG members will benefit from a unique opportunity to contribute to the establishment of data science as a profession in Europe.

For the ELG Universities, members are professors and leading practitioners from worldwide universities with experience in teaching data science, able to exchange views and discuss the requirements for educational training with respect to background and foreground knowledge and skills, educational methods, tools and practices, examination instruments and objectives, and European cooperation. Members are drawn from different countries across Europe and beyond, and will act as promoters of the adoption of data science training initiatives in the universities of their countries in addition to their own institution.

For the ELG Employer Sectors, members are decision-makers with visionary views on the required competences for the data scientist, its role in the organization, the expected competences and skills required to perform that role, and the evolution of this role in the upcoming decades. Apart from the research sectors (including different research/scientific domains and infrastructure), there is also insight from the public administrations (including government, healthcare and libraries) and the private sector (including accountancy and finance, transport and logistics, telecommunications, and the entertainment industry).

For the ELG Data Experts, members bring in their personal experience as a data scientist from different scientific and industry domains, and may serve as a sampling of data scientist practices.

 

Nomination and appointment process

The nomination and appointment process has been designed to maximize the potential for the project to reach out to and attract a representative cross section of individuals who will effectively capture the key issues and opportunities that will support the growth of competent Data Scientist workforce across Europe.

The EDISON project will invite appropriate potential members to join an ELG. Group members may nominate others to join the groups and additional experts may be invited to specific meetings to act as a specialist contributor. Members typically join for one year.

In selecting members we will do our best to meet the gender balance threshold of 40% for all groups within the project. We will also seek to identify a gender equality expert to participate in each ELG.

 

ELG Chairs and Secretariat

The chairperson of each ELG is appointed by the EDISON project for one year and has the role to:

  • moderate and preside over meeting discussions;
  • establish the ELG meeting agenda, after preparation by the project;  
  • oversee the production of  meeting minutes and other documents by the project.

The EDISON project provides the secretarial services for each ELG.

 

Meetings

The ELGs meet at least once a year. Meetings are announced and scheduled well in advance by the chairperson, to which extent the project will take care of practical and other preparations. It is in principle planned to have ELG meetings at the same dates and places to allow for joint plenary events.

 

Costs

If needed, ELG members can request the reimbursement of travel and subsistence costs, when attending the ELG meetings.

 

20 July 2015

ELG - membership

Membership

Membership is by invitation and most of the places are now assigned, or in the process of being assigned. However, if you feel that you would like to join one of the groups, then please do get in touch

Members

Education Group

  • Ari Asmi (University of Helsinki)
  • Julian Bauer (EUA)
  • Marian Bubak (AGH)
  • Joos Buijs (TUE)
  • Juan Jose Cuadrado-Gallego (UAH)
  • John Domingue (Open University, UK)
  • Geoffrey Fox (Indiana University)
  • Rita Morais (EUA)
  • Silvia Olabarriaga (AMC)
  • Marta Patino (UPM)
  • Fabio Pianesi (EIT)
  • Hugh Shanahan (Royal Holloway)
  • Birgit Schmidt (University of Goettingen)
  • Miguel-Angel Sicilia (UAH)
  • Dimitar Trajanov (Ss. Cyril and Methodius University in Skopje, Macedonia)
  • Ralph Viers (UvA)
  • John Wood ACU, RDA)
  • Roberto Zicari (University of Frankfurt)

Employers Group

  • Bomhof Freek (TNO NL Tech Org)
  • Jasper De Vries (Kadenza)
  • Maria Dimou (CERN)
  • Anders Flodstrom (EIT)
  • John Higgins (Digital Europe)
  • Beth Massa (Microsoft Research)
  • Klous Sander (KPMG)
  • Kenji Takeda (Microsoft Research)

Data Specialist Group

  • Daniele Bailo (INGV)
  • Kathrin Beck MPCDF, (RDA)
  • Donatella Castelli (CNR-ISTI)
  • Julien Donini (Blaise Pascal University)
  • Henk Harmsen (DANS)
  • Simon Hodson (CODATA)
  • Christopher Jung (KIT)
  • David Manset (Gnubila)
  • Laura Molloy (University of Oxford)
  • Barend Mons (Netherlands Bioinformatics Centre)
  • Rene van Horik (DANS)
  • Philippe van Impe (European Data Innovation Hub)
  • Allegra Via (ELIXIR)
  • Peter Wittenburg (MPG, RDA)

Education and Training Champions

Champions Conference Brockenhurst

The EDISON Champions of Education and Training are a group of pioneers driven to help create the new generation of Data Science professionals. EDISON seeks to support such pioneers particularly where they are exploiting the outputs of the EDISON initiative in the form of the EDISON Data Science Framework (EDSF). In addition to making use of the EDSF, Champions as early adopters provide crucial feedback into the evolution of the Framework.

Champions refers to teams at universities, colleges or other teaching or training establishments engaged in developing and /or delivering the courses that Data Science professionals need. Support for such teams varies and is dependent on particular needs that can help move things forward. In particular support will focus on bringing such teams together for various meetings and conferences to share best practice and lessons learnt.

If you are interested in becoming an EDISON Champion or attending meetings then please get in touch. See contact page.

Champions: New Forest Milestone

Champions graphical capture

The EDISON New Forest Milestone is a declaration of collective ambition to further the establishment of the Data Science profession that was agreed as a collective action at the first EDISON Champions Conference. The New Forest Milestone captures the key outcomes of the two-day event and paves the way for subsequent Champions Conferences.

    The New Forest Milestone

    from the 1st EDISON Champion Universities Conference

    13th - 14th July 2016

    The New Forest Milestone is an outcome of the first educational EDISON Champions conference held in Brockenhurst, UK. The EU-funded EDISON project is working to support growth of the Data Science profession, and help reduce the shortage of data science skilled professionals across the research infrastructure landscape and beyond.

    1. We understand the value of data, both big and small, together with data-driven technologies, and their ability to create value, increase knowledge and to bring societal communities together;
    2. We believe that data-driven and data-centric technologies should enable deprived communities to engage with the wider world, and so work as a fuel for future economic development;
    3. We recognize the need for many more trained data science professionals to make this a reality, and we feel responsible for a coordinated development to facilitate Data Science education and training by developing the Data Science curriculum and its wider educational framework across the digital ecosystem;
    4. We recognize the value of the EDISON Data Science Framework (EDSF) and we want to share our experiences in further development and implementation of the EDSF;
    5. We want to contribute to European and International initiatives to promote rigorous and ambitious data science programmes that are both competitive and empowering, and bridge traditional academic disciplines and professional divisions;
    6. We will help undertake initiatives for national action plans that address the demand for data skills, and we will also engage with other universities and similar stakeholders in our own countries and elsewhere to promote this vision;
    7. We expect EDISON to work on the set of learning materials on data-driven technologies literacy;
    8. We will welcome the growing number of Champion Universities and Data Science ambassadors who will share this vision, and we look forward to building on these achievements at the next Champions conference in Madrid early in 2017.

    http://edison-project.eu

     

    The following were present at the first Champions Conference:

    Belgium

    • Nele Coghe - European Data Innovation

    Germany

    • Kathrin Beck - Max Planck Computing and Data Facility (RDA)
    • Regine Freitag - Fraunhofer Institute for Intelligent Analysis and Information Systems
    • Christopher Jung - Karlsruhe Institute of Technology (KIT)
    • Paul Schultze-Motel - Helmholtz Open Science Koordinationsbüro

    Finland

    • Ari Asmi - University of Helsinki

    Hungary

    • Edit Herczog - Vision & Values SPRL

    Italy

    • Gianluca Reali - University of Perugia

    Poland

    • Marek Niezgódka    University Warsaw

    Spain

    • Carlos Alberto Rodríguez-Solano Nuzzi

    Ukraine

    • Nicholas Murgha - Polytechnic of Kiev

    UK

    • Panos Louvieris - Brunel university London
    • Natalie Clewley - Brunel university London
    • Ingo Frommholz - University Of Bedfordshire
    • Marc Conrad - University of Bedfordshire
    • Riinu Ots - University of Edinburgh
    • Rose  - Office of National Statistics (UK)
    • Chris Phethean - University of Southampton
    • Jon Forster - University of Southampton
    • Hugh Shanahan - Royal Holloway, University of London
    • Ali Syed - European Data Science Academy
    • John Wood - Association of Commonwealth Universities
    • Ruben Sanchez Garcia - University of Southampton
    • David Rew - University of Southampton Hospital

    The Netherlands

    • Maaike Duine - THOR
    • Silvia Delgado Olabarriaga - Amsterdam Medical Centre
    • Marcel Worring - Amsterdam Data Science
    • Hans Borgman - University of Amsterdam

    Plus the EDISON project team

    EDISON: first Champions Conference

    First Champions Conference

    The first EDISON Champions Conference was a great success. The pioneers of data science teaching and training assembled in the New Forest as the British Summer was making its first real appearance. The Champions enjoyed two days of stimulating and productive discussion triggered by the emergent findings of the project material. The source material can be found in the library section of the website. The presentations delivered at the conference can be found below. Please credit the EDISON project if this material proves useful to your work.

    Presentations

    Champions Conference group photo - New Forest July 2016
    Champions Conference group photo - New Forest July 2016 - (Photo: Natalia Talkowska)
    Graphical capture of first day by Natalia Talkowska
    Graphical capture of first day by Natalia Talkowska
    Graphical capture of second day by Natalia Talkowska
    Graphical capture of second day by Natalia Talkowska

    EDISON: second Champions Conference

    Puerta de Toledo Campus Madrid

    The second EDISON Champions Conference is coming soon. The meeting will be held in the historic and cultural heart of Madrid at the University - Universidad Carlos III de Madrid. The purpose of the meeting is to present and develop the activities of the education and training pioneers (EDISON Champions) who are utilising the EDISON Data Science Framework (EDSF) to develop and run new courses for Data Science.

    The two-day event will take place over the 15-16 March 2017 in central Madrid. In addition to presenting success stories of the intial use cases of the implimentaion of the EDISON Data Science Framework (EDSF), workshop attendees will have the opportunity to be briefed on how they too can be helped to accelerate the process of developing industry-aligned education and training courses at their own institutions and organisations. Furthermore experts from the EDISON team will be present and keen to gather feedback for the next release of the EDSF.

    National Action Plans

    London City from Thames

    National Action Plans to support initiatives to increase the number of Data Science professional are being supported by EDISON. This initiative arose from discussions in The Netherlands which culminated in a meeting at the Amsterdam Science Park.

    Toward a national action programme for data science training

    National initiaitves to address the significant and growing need for Data Science professionals form a perfect opportunity for EDISON to offer support. The lessons that have been learnt from analysing teaching and learning needs across Europe and beyond, coupled eith the needs identified from employers are inherently similar across most countries. An opportunity arose as a result of interest in the Netherlands and this was followed up as a potentil role model for other countries to emulate. EDISON is keen and ready to support such initiatives, please get in touch.

    The Netherlands: National Initiative

    On the 28 June 2016 as part of a two-track all day event at the Amsterdam Science Park called "Be Prepared for Big Data in the Cloud" EDISON ran an afternoon session focused on the idea of initiating national action plans for accelerating and coordinating activity in the area of Data Science professional trainign and education taking advantage of the EDISON Data Science Framework. 

    Workshop organization and experiences

    Summary of the event:

    • The University of Amsterdam designed the workshop organization. However, the task benefitted from the involvement of another stakeholder in order to broaden th impact  and privide help with organisation and publicity for such a national workshop. In the Netherlands such support and organizational assistance came from Neth-ER, the Dutch scientific and educational representation in ‘Brussels’.
    • The workshop was on ‘invitation only’ in order to promote exclusivity and thus ensure potential commitment. An additional pro was that the resulting group was small enough to have strong engagement in the discussions from all participants.
    • The workshop agenda started with a few appetizing introductions, followed by a panel discussion with key stakeholders. This followed our workshop agenda:
      • General introduction by Paul Timmers, a DG-CNECT director (in other countries any good speaker can act as such to attract the people you want attending)
      • Setting the scene by private entrepreneur, with our ELG member Jasper de Vries presenting a strong story about the impact of data called “This is Why”.
      • Landscape overview by the representative of the recent established Data Science Platform Netherlands, currently a cooperation of the universities running or starting a data science Masters curriculum together with the national research council.
      • Panel discussion with representatives from EDISON, another relevant EU project, the Data Science Platform Netherlands, the Ministry, and from the business sector.
    • The discussions revealed that many initiatives were quite young and participants didn't know each other. In this respect it was a crucial workshop to bring them together with a common agenda as proposed by EDISON. Several suggestions were made from current activities to work for example together with targeted networks, with city initiatives, with research infrastructures, and so on. Moreover, this assisted in identifying potential leaders to follow up with next actions.
    • From the Dutch perspective, we will follow this up to secure that the heritage of EDISON will be taken up by national organisations, bodies, and persons in order to realize the EDISON ambitions nationally.

     

    EDISON Data Science Framework (EDSF)

    The EDISON Data Science Framework is a collection of documents that define the Data Science profession. Freely available, these documents have been developed to guide educators and trainers, emplyers and managers, and Data Scientists themselves. This collection of documents collectively breakdown the complexity of the skills and competences need to define Data Science as a professional practice.

    Engagement and Interaction

    Tokyo RDA7 IG-ETRD meeting

    The EDISON initiaitve has a number of channels for engagement depending on your needs in the Data Science profession. The EDISON Data Science Framework (EDSF) offers opportuntities and benefits for managers, trainers, teachers, researchers, employers and Data Science professionals.

    Through deeper understanding and greater familiarity with Data Science and the associated competences inherent in the profession, all stakeholders stand to gain something. Furthermore the EDISON initiaitive welcomes feedback and interaction in order to continue developing these resources that all stakeholders can enjoy.

    How can I engage with EDISON?

    Here are some of the current channels for interaction and engagement (although we welcome other approaches):

    Social Media

    Follow the EDISON project on Twitter: @EdisonEU - do share your posts with the @EdisonEU community where relevant.

    The most recent Tweets can be seen on the EDISON website (use #datascience for relevant posts)

    LinkedIn: join the EDISON group for updates and discussions: https://www.linkedin.com/groups/8473188

      

    EDISON Community Portal

    One of the key goals of the EDISON project is to build a lasting legacy build the two-funded years of activity. One mechanism for achieving this will be the EDISON Community Portal which is under development. The Portal will act as a gateway to a rich collection of resources as well as a platform on which the community can expand and grow. Further details about this will appear shortly.

     

    Employers, recruiters and managers

    EDISON is now using the detailed and comprehensive research completed to date to develop a range of tools that will support the work of employers, recruiters and managers of Data Science professions. These will range from simple artifacts such as job descriptions and compatible team roles, to suggested recruitment strategies and tools for managing career progression.

     

    EDISON RDA workshop in Tokyo

    The photograph at the top of the page was taken at a meeting of the EDISON-supported Interest Group - Education and Training on handling of research data (IG-ETRD) in Tokyo.

    Engagement coordination

    The EDISON team regularly interact with and coordinates activities with other projects and intitiaitves. Please get in touch if you are involved in activities related to Data Science or data-centric research. Activities so far have involved aligning dates for events with other EU projects in Research Infrastructure, attending events in related areas and planning for future shared and co-located events.

    Contact

    Mandarin ideograph

    Get in touch with the EDISON team. We have various communication channels and would love to hear from you. We also have many contacts relating to the Data Science profession, so if the EDISON team cannot help you, we may well know someone who can.

    However, you do not need to have a question or a need to justify getting in touch. Don't hesitate to send us your details anyway or register for the the mailing list or Twitter feeds etc. we may need each other at a future date.

    EDISON Project contact details:

    EDISON websites:

    The EDISON project team are regularly at various events across Europe and are also planning a number of events around Europe. Please get in touch if one of these is of interest or if you are organising a Data Science related event that might be aligned to the aims of the EDISON project.

     

    Mandarin Ideograph

    The photograph at the top of this page depicts a Cable and Wireless ideograph that was built to enable telegrams sent from Hong Kong to China to be translated into Mandarin in the 1970s.  

    EDISON Data Science survey

    The EDISON Data Science Framework is based on a deep understanding of the needs of all stakeholders involved in building the data science profession. As such, your willingness to give up some of your valuable time to complete this survey is very much appreciated.

    Follow this link for the full details of the survey:

    https://www.surveymonkey.com/r/QRPQ9VC 

    Defining a profession, in terms of role in an organisation, competences and experiences, career path, etc, is very complex. Doing this work for a new emerging profession such as that of DATA SCIENTIST is challenging. However, succeeding in such a challenge means that we can help most of you in your career needs:

    • If you are a scientist looking for improving your career path;
    • if you are a student looking for tailoring your studies for a successful employment;
    • if you are a researcher looking for formal recognition of your competences and experiences;
    • if you are an HR manager looking for clearly defined competences and experiences that candidates need to have; 
    • if you are an educator looking for new topics for your courses that fit with Enterprise and Academic needs... 

    ...use this survey to provide your vision, needs and perspective into this study. Helping the EDISON team with this survey will let you contribute to the creation of concrete and factual tools that will facilitate the definition of the Data Science Profession. 

    The survey will last less than 30 minutes. Please, take enough time to reflect on your answers. Valuable replies will result on more value on the output. 

    For further information on the EDISON project, please see this high level genral introduction to the EDISON Data Science Framework:

    To thank you for your participation in this survey you will receive in advance the documents published by the project and a free one-year subscription to the forthcoming Portal DataScienceProfessional.eu.

    Guarantee of confidentiality: 
    Data collected will be anonymised and used according to the European data privacy regulations.