IDC4EU Latest Research

Market overview and comparative analysis

H2020 Project, 2017–2019

This report aims to gauge Europe’s market maturity for the successful deployment of 5G and provide fact-based guidance to fully realize 5G capabilities by driving appropriate and timely investments. The report provides a comprehensive market overview and a comparison across 10 EU member states covering pre-commercial and commercial 5G services deployment and focusing on the main accelerators and constrains impacting on 5G market development in Europe.

Vertical industries and rollout to markets 1st Report

H2020 Project, 2017–2019

5G will unlock new capabilities not attainable in current networks, opening the door for new applications that demand absolute reliability. The Global5G.org Market Watch, led by IDC, zooms in on an in-depth analysis of four major vertical industries, namely automotive, manufacturing, energy and healthcare. This document provides an overview about the impact of 5G on Western European Vertical Industries and an analysis about how 5G will transform them.

Emerging Business Models for Verticals

H2020 Project, 2017–2019

Building upon previous work in Global5G.org, this report aims to provide new analyses of emerging business models in the 5G ecosystem, particularly in reference to vertical sectors (as opposed to the pure consumer / smartphone market).

Identify Use Cases from Verticals

H2020 Project, 2017–2019

Having identified health, automotive, energy and factories of the future as the four representative vertical industries Global5G.org is focusing on, this document reports on the analysis and categorisation of a set of relevant use cases based on their priority requirements, laying the ground for strengthening the link between research and Industry and standardisation.

Common methodology and KPIs for design, testing and validation

H2020 Project | 2017-2020

This document addresses the development of common methodologies and Key Performance Indicators (KPIs) for design, testing and validation and for success and impact measurement across various use cases and application domains. The document describes the evaluation methodologies and common KPIs for IoT applications and projects.

Market Paper: SMART EVENTS - Sound and security for large open-air events

H2020 Project | 2017-2020

Smart events and crowd management revolve around a number of use cases responding to different strategic priorities from smart kiosks for civic engagement to emergency response for data-driven public safety through environmental monitoring for improved sustainability. This Market Paper provides information about the market potential, main use cases and user benefits of IoT in the Smart Events Focus Area of the European IoT Large-Scale Pilots Programme.

Market Paper: Connected Vehicles - Towards a Data-Based Mobility & Transport Paradigm

H2020 Project | 2017-2020

The European Transportation and Vehicles digital journey is moving toward a mobility paradigm centered on multimodal, on-demand, low carbon, and personalised travel services enabled by real-time and accurate access to information. This Market Paper provides information about the market potential, main use cases and user benefits of IoT in the Connected Vehicles Focus Area of the European IoT Large-Scale Pilots Programme.

Market Paper: Active and Healthy Ageing - IoT Smart Living Environments for Ageing Well

H2020 Project | 2017-2020

The European population is getting older fast: in 2017 the share of population aged 65 years and over was 19%, by 2060 it should grow to 29%, driven by increase in life expectancy and the fall in birth rates. Older citizens are less healthy, as 68% of people over 65 declare some physical or sensorial limitation, mainly affecting walking and hearing capabilities. This impacts their quality of life in everyday activities from bathing and feeding themselves, to doing housework, shopping, or managing medications. IoT-based solutions provide ways to support these everyday activities and improve the older population’s quality of life as well as the sustainability of the health and care system. This Market Paper provides information about the market potential, main use cases and user benefits of IoT in the Active and Healthy Ageing Focus Area of the European IoT Large-Scale Pilots Programme.

E-Book: The European Large-Scale Pilots Programme - Driving IoT Innovation at Scale in Europe

H2020 Project | 2017-2020

This eBook presents the IoT European Large-Scale Pilots (LSPs) Programme, providing an overview of the overarching goals of this initiative and facts and figures about the five different focus areas, from smart living environments for ageing well, to smart farming and food security, wearables for smart ecosystems, reference zones in EU cities and autonomous vehicles in a connected environment.

The Programme includes five LSPs (ACTIVAGE, AUTOPILOT, IoF2020, MONICA, SYNCHRONICITY) and two coordination and support actions (CREATE-IoT and U4IoT) involving more than 250 organisations from 19 European countries and addressing over 80 use cases that creates opportunities for entrepreneurs and supports the development of secure and sustainable European IoT ecosystems.

The document gives an overview of the IoT demand drivers and trends, key elements for digital transformation through IoT in key vertical markets, and summarises the IoT European Large-Scale Pilots Programme impacts and benefits.

Lists of Ethical, Legal, Societal and economic issues of big data technologies

H2020 Project, 2017–2019

This deliverable aims at identifying and analysing the most relevant ethical, legal, societal and economic issues implicated by the development of big data technologies. With this purpose in mind, each distinctive perspective approaches the technological innovation brought about by big data technologies from a different angle.

White Paper: Real-life Examples of Big Data Implications

H2020 Project, 2017–2019

Big Data is taking the world by storm.

In this white paper, e-SIDES outlines a number of interesting real-life examples of the main ethical, legal and socio-economic implications of big data technologies, including privacy abuses, lack of transparency, potential discrimination and lack of accountability.

Building on the research presented in the Deliverable D2.2 published in August 2017, we have looked for practical cases of these issues. Here we present some interesting stories about how big data technologies can impact our life and business.

Overview of Existing Privacy Preserving Technologies

H2020 Project, 2017–2019

This deliverable provides an overview of existing approaches, methods and technologies that may have the potential to address ethical, legal, societal and economic issues raised by big data applications. Among the issues are threats to privacy and self-determination, strong interdependencies, limited trustworthiness and lack of accountability.

White Paper: Which data technologies play a key role to preserve privacy and security?

H2020 Project, 2017–2019

In this white paper, e-SIDES provides an overview of existing approaches, methods and technologies that may have the potential to address ethical, legal, societal and economic issues raised by big data applications. The technologies considered as privacy enhancing or privacy preserving were identified and assigned to 11 classes: anonymisation, sanitisation, encryption, multi-party computation, access control, policy enforcement, accountability, data provenance, transparency, access and portability, and user control.

Building on the research presented in the report “Overview of Existing Technologies” published in February 2018, we have looked for practical examples and stressed the role played by the classes of technologies in other research on privacy-preserving big data technologies and data-driven innovation funded by the EU under the H2020 Programme.

Assessment of Existing Privacy Preserving Technologies

H2020 Project, 2017–2019

Within the scope of the report, the technologies described in the e-SIDES project report “Overview of Existing Technologies” are assessed taking the societal and ethical issues analysed by the project into account. The assessment consists of two parts: a technology-specific assessment of selected classes of technologies and a more general assessment of the technologies.

White Paper: How effective are privacy-preserving technologies in addressing ethical and societal issues?

H2020 Project, 2017–2019

This white paper is based on the e-SIDES project report “Assessment of existing technologies”. Within the scope of the deliverable, privacy-preserving technologies are assessed taking ethical and societal issues into account. The paper also presents an overview of existing privacy-preserving technologies and of the ethical and societal issues taken into account in order to describe the results of the assessment of the technologies.

Analysis of the gaps in the implementation of privacy preserving Technologies

H2020 Project, 2017–2019

The current e-SIDES report provides a gap analysis between the findings of the general assessment of ethical, legal, societal and economic issues that emerge in different big data contexts, and a technology-specific assessment of classes of currently existing privacy-preserving big data solutions. Based on these assessments we concluded that ethical and societal issues remain present, mainly because available technologies are not widely integrated into big data solutions. This implementation gap is the focus of this report.

White Paper: Privacy-preserving technologies are not widely integrated into big data solutions. What are the reasons for this implementation gap?

H2020 Project, 2017–2019

This white paper is based on the e-SIDES project report “Analysis of the gaps in the implementation of privacy preserving technologies”, which provides a gap analysis based on the findings related to the key ethical, legal, societal and economic issues emerging from the use of big data and the assessment of existing privacy-preserving technologies. We look at their effectiveness in addressing those ethical and societal issues and the challenges that arise in their implementation.

Overview of design requirements of privacy preserving technologies

H2020 Project, 2017–2019

This report discusses requirements for the design and use of big data solutions. The solutions we focus on can be considered “privacy preserving” because they include privacy-preserving technologies or are used in an environment in which non-technical measures were taken to preserve privacy. However, an appropriate solution design can only lay the foundation. To achieve privacy-preserving data sharing and usage, it is not less important that the solutions are used in an appropriate manner and environment. Moreover, the report describes design challenges faced in the context of privacy-preserving technologies paying particular attention to the requirements faced in the context of big data.

Towards Value-centric Big Data - Workshop report

H2020 Project, 2017–2019

The following workshop report presents the key take-aways and lesson learned during the e-SIDES workshop "Towards Value-Centric Big Data" held in Brussels on April 2, 2019.

This e-SIDES workshop aimed to gather all actors whose work and active engagement can promote responsible research and innovation in the field of big data paving the way to design and deploy the next generation of big data solutions. The ultimate goal was to engage with this broad community around the debate on how big data solutions can be developed and used in a responsible way, protecting societal values to the greatest possible extent.

This workshop report describes the event and presents the key findings of the discussions carried out during the knowledge café session.

Industry Requirements with benchmark metrics and KPIs

H2020 Project, 2018–2020

The DataBench project aims to bridge the gap between technical and business benchmarking of Big Data and Analytics applications. The requirements discussed in this report are the result of the first analysis performed in the project on existing Big Data Benchmarking tools, from the interaction with BDVA (Big Data Value Association) and participation in the development and analysis of results of a first questionnaire developed within BDVA, and from analysis of Big Data technology and benchmarking developed in other Work Packages of the project.

As a result of this analysis, an integrated set of benchmark metrics and KPIs is proposed, as an ecosystem of indicators covering Business features, Big data application features, Platform and architecture features, and Benchmark-specific features.

The deliverable discusses the use of these features in an integrated way, as a basis for a methodological integration, for the development of the DataBench Toolbox, and for relating indicators and building a KPI knowledge graph.

Preliminary benchmarks of Industrial Significance of Big Data Technologies Performance Parameters

H2020 Project, 2018–2020

This document provides a preliminary assessment of the performance measurement metrics that companies are benchmarking to assess their use of Big Data and Analytics (BDA). It is intended to evaluate how these metrics correspond to the real potential business impacts driving companies from the economic or organisational viewpoint. The document is based on desk research from public sources, on IDC research databases, and on a specific survey of 700 European businesses in 11 EU Member States. The sample is representative of European industry (excluding the Public sector, Education and Construction). The report shows the relevance of business KPIs for BDA users including revenues, profit and quality of service improvements, as well as the average values achieved for each KPI by industry and company size.

White Paper: DataBench Toolbox Architecture

H2020 Project, 2018–2020

This white paper reports on the current view of the DataBench Toolbox architecture and main functional elements. The goal of the DataBench Toolbox is to provide a way of reusing existing big data benchmarking efforts under a common framework, providing therefore a way to select, download and homogenize technical and business indicators.

The European Data Market Study: Final Report

Study on behalf of the European Commission DG Connect

This report presents a set of indicators measuring the European population of data workers, the value of the data market, the number of data user enterprises, the number of data companies and their revenues, and the overall value of the impact of the data economy on EU GDP. All indicators are presented for the years 2013 through 2016 and forecasted to 2020, exploring three alternative potential scenarios of evolution: Baseline, High Growth and Challenge scenarios

First Report on Policy Conclusions: How the Power of Data Can Drive the EU Economy

Study on behalf of the European Commission DG Connect, 2014-2020

This report presents the key findings of the most recent European Data Market Monitoring (EDM) Tool update, with a focus on main policy implications. Maximising the growth of the Data Economy is a key objective of European policies and specifically of the Digital Single Market (DSM) Strategy, deployed through the many policy initiatives launched in 2016-17, such as the Digitising European Industry initiative and the European Cloud initiative. The EDM Tool provides a key contribution to measuring the progress towards these policy objectives.

First Report on Facts and Figures: Updating the European Data Market Monitoring Tool

Study on behalf of the European Commission DG Connect, 2014-2020

This First Report on Facts & Figures presents the results obtained through the first round of measurements of the European Data Market Monitoring Tool, which was designed and developed under the previous European Data Market Study (SMART 2013/0063) and covered the period 2013-2015 with forecasts to the year 2020 under three distinct scenarios. In this update, the Monitoring Tool has been revised and extended to cover the years 2016-2017 with forecasts at 2025 under the same alternative scenarios.

Second Report on Facts and Figures: Updating the European Data Market Monitoring Tool

Study on behalf of the European Commission DG Connect

Following the First Report on Facts & Figures released in February 2018, this Second Report on Facts & Figures presents the results obtained through the second round of measurements of the European Data Market Monitoring Tool, designed and developed under the previous European Data Market Study (SMART 2013/0063) and subsequently revised and extended in the First Report on Facts & Figures to cover the years 2016-2017 with forecasts at 2025 under three alternative scenarios.

Data-Driven Stories: How Big Data is driving AI – Selected Examples of AI Applications across European Industries

Study on behalf of the European Commission DG Connect, 2014-2020

The aim of this story is to investigate how companies and organizations can generate economic, operational and organizational benefits by leveraging Big Data and AI applications in a number of different industries and vertical markets. Through extensive desk research and a series of in-depth interviews, the story aims at:

• •  identifying the reasons and needs underpinning the decision to develop and deploy AI applications in Europe today;
• •  examining the way in which European companies and organisations across a multitude of sectors and industries apply AI technologies;
• •  uncovering the underlying benefits for companies and organizations that successfully deploy AI solutions - improved decision making and more impactful decisions, reduced time to market, improved services and customer satisfaction, cost optimization, additional revenue streams, etc.
• •  highlighting the barriers that currently hamper the adoption of AI solutions in Europe today and providing an initial set of recommendations on how to support AI use for policy makers at national and European level.

Data-Driven Stories: Data Monetisation

Study on behalf of the European Commission DG Connect, 2014-2020

The aim of this story is to investigate how companies and organisations create and measure economic benefits by leveraging data generated through business operations, publicly available data or data collected via electronic devices and sensors (i.e. IoT). Through extensive desk research and a series of in-depth interviews, the story aims at:

• •  Providing a better understanding of data monetisation today and define data monetisation practices within the overall framework of B2B data sharing;
• •  Understanding how companies approach data monetisation in Europe today and identify the main types of data monetisation practices;
• •  uncovering the underlying benefits that companies achieve by monetizing data and identify the main hindrances to a further development of data monetisation;
• •  Propose a preliminary set of policy conclusions to support data monetisation efforts in Europe.

Data-Driven Stories: Facilitating Industry 4.0: What's the role of industrial data platforms?

Study on behalf of the European Commission DG Connect, 2014-2020

The main objective of this story is to investigate the nascent phenomenon of industrial data platforms within the context of the European Data Market and its evolution towards an ever growing data-driven economy. In particular, the paper will delve on the concept of industrial data platforms, their essential features and goals, and their link and positioning vis-à-vis the policy framework recently put forward by the European Commission to coordinate national and regional initiatives for digitizing the European industry. Based on a series of selected, real-life case studies, this paper will also consider the potential role that industrial data platforms could play in sustaining the digitization of products and services across Europe so to reinforce the EU’s competitiveness in digital technologies and ensure that every industry in Europe, regardless their specific sector, fully benefits from digital innovation.

Data-Driven Stories: What limits data-sharing in Europe?

Study on behalf of the European Commission DG Connect, 2014-2020

The main objective of this report is to investigate the technical barriers to data sharing in Europe in the context of the European Data Market and its evolution towards an ever-growing data-driven economy. Data sharing is a key enabling factor for the development of the European digital economy. The sharing of datasets from different sources facilitates use and re-use of data by multiple actors and enables the extraction of value from data, leading to the creation of new services, business models, and the improvement of processes, an evolution called digital transformation. The diffusion of open platforms for data sharing and the availability of interoperable datasets is one of the key success factors which may help to drive the European Data Market towards a High Growth scenario, however, data sharing across companies is still limited and far from its full potential.

White Paper: Implications of the GDPR - A Media Analysis

H2020 Project, 2017–2019

This white paper is based on the e-SIDES project report “Analysis of the gaps in the implementation of privacy-preserving technologies”, which does not only provide a gap analysis based on the findings related to the key ethical, legal, societal and economic issues emerging from the use of big data and the assessment of existing privacy-preserving technologies but also an analysis of the implications of the General Data Protection Regulation (GDPR). With respect to the implications of the GDPR, we analysed how the media in Germany and the United Kingdom reported on the GDPR around the regulation’s effective date.

Second Report on Policy Conclusions: Data as the Engine of Europe's Digital Future

Study on behalf of the European Commission DG Connect, 2014-2020

This report presents the most recent key findings of the European Data Market (EDM) Monitoring Tool, designed by IDC in collaboration with the Lisbon Council to provide the European Commission with a comprehensive view of the data-driven economy. Maximising the growth of the Data Economy is a key objective of European policies and specifically of the Digital Single Market (DSM) Strategy, deployed through the many policy initiatives launched in 2016-18, such as the Digitizing European Industry initiative, the European Cloud initiative, the AI Action Plan. The EDM Tool provides a key contribution to measuring the progress towards these policy objectives, as well as a baseline for the forthcoming initiatives such as the Digital Europe Programme.

Data-Driven Stories: AI paving the way for the Cognitive Revolution across European Utilities

Study on behalf of the European Commission DG Connect, 2014-2020

This story investigates how European utilities are putting to use some of the latest AI solutions across a series of use cases along three main categories, i.e.: operating model transformation, customer experience enhancement, and new revenues and business models. Through existing IDC research, additional desk research and a series of in-depth interviews, the story aims at:

• •  Describing how the European utilities are coping with the severe disruptions that are radically changing the industry structure and how data-driven technologies in general, and AI in particular, are proving to be fundamental in winning the challenge;
• •  Describing in detail some of the most up-to-date and significant real-life case studies of AI applications in the European utilities and uncovering the underlying benefits for companies and organizations that successfully deploy AI solutions – improved energy recovery rates and network safety, better use and redeployment of resources, increased plant production, better maintenance and grid development planning, etc.
• •  A set of top-level, preliminary conclusions and policy remarks on the state of the adoption of AI solutions across the Utilities industry in Europe today and how to further support their usage and take-up.

First Interim Report: The European Data Market Monitoring Tool

Study on behalf of the European Commission DG Connect, 2014-2020

This is the First Interim Study Report of the Update of the European Data Market Study (SMART 2016/0063), which was entrusted in 2016 to IDC and the Lisbon Council. This report brings together the research results and the activities carried out by the contractors under:

• •  The First Report on Facts & Figures presenting an updated measurement of the European Data Market Monitoring Tool for the years 2016-2017 and forecasts to the year 2025 under three alternative scenarios;
• •  The First Report on Policy Conclusions analysing the role of policies in shaping the sizes and trends of the European Data Market and Data Economy as measured by the European Data Market Monitoring Tool.
• •  The key messages obtained from the quantified stories produced by the study team and focusing on the opening of private and scientific data for public interest and innovation.
• •  The First Data Landscape Report (Review at January 2018) providing an overview of the EU Data Landscape and offering and up-to-date zoom into the database of data market companies in Europe.

Impact Evaluation of the Open Data Incubator Europe (ODINE) on participant Organizations

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Based on IDC’s independent impact assessment, ODINE’s incubation programme achieved its main objective to attract and fund a group of innovative digital companies with original business ideas about Open Data and accelerate their time to market and chances of success. ODINE’s 57 funded companies, of which 31 are startups born with the programme, represent a wide variety of value propositions based on either software solutions, or software solutions with some hardware components (IoT solutions), or web-based services. They contribute to the development of an Open Data ecosystem in Europe covering all segments of the data value chain, with a stronger presence in the more innovative components. Overall, we can see a common thread running across many of these companies aiming for what ODINE calls the triple bottom line, that is achieving economic, social and environmental benefits.

The assessment was carried out in March-April 2017 and was based on data collection through an independent survey1 of the 57 funded companies and 10 non-funded companies, the information published by the companies, ODINE’s databases and documents repositories. IDC developed a forecast model estimating potential revenues, jobs created and the number of customers of these companies to 2020, under a main and a counterfactual scenario. The results were compared with the impact assessment of the Fiware accelerator programme, which funded over 1000 startups and SMEs, carried out by IDC in 2014-16.

Second Interim Report: The European Data Market Monitoring Tool

Study on behalf of the European Commission DG Connect, 2014-2020

This is the Second Interim Study Report (Deliverable D2.6) of the Update of the European Data Market Study (SMART 2016/0063), entrusted in 2016 to IDC and the Lisbon Council. The present document brings together the research results and the activities carried out by the contractors under:

   • The Second Report on Facts & Figures (D2.4) extending the measurement of the European Data Market Monitoring Tool by presenting data for the years 2016-2018 and forecasts to the year 2025 under three alternative scenarios;

  •  The Second Report on Policy Conclusions (D2.5) measuring the progress of European policies towards the objective of maximising the growth of the Data Economy as measured by the European Data Market Monitoring Tool;

  •  The key messages from the quantified stories (D3.3, D3.4 and D3.5) produced by the study team and focusing on the operational, organizational and/or economic benefits generated by the use of data-driven technologies with a special focus on Big Data and Artificial Intelligence (AI) solutions;

  •  The Second Data Landscape Report (January 2019 Review – D4.2) providing an overview of the EU Data Landscape and offering and up-to-date zoom into the database of data market companies in Europe.

Community Position Paper: Towards a more accountable big data governance and responsible innovation of Privacy Preserving Technologies

The primary aim of this document is to map challenges and opportunities of big data stakeholders in respect to designing, implementing and using privacy-preserving technologies within big data contexts. Although privacy-preserving technologies have a huge potential in adding value to the big data economy that increasingly capitalises upon how data can be used, reused, and exploited for multiple purposes by fostering citizen-centric responsible innovation. The paper outlines the potential but also the core challenges and limitations of responsibly innovating privacy-preserving technologies that could function as data security measures for more accountable big data solutions.

Moreover, this community position paper also offers an outlook upon potential opportunities that can also be regarded as recommendations for improving big data governance structures in a manner that big data innovation, including the innovation of privacy-preserving technologies, becomes more responsible and accountable. The last includes a combination of ethical, legal, societal, and economic opportunities resulting from the involvement of multiple stakeholders.

By bringing together the viewpoints of different members of the big data community who are often isolated from each other, by this community position paper we attempted to build bridges between their views and relied upon them in order to reflect upon the challenges and opportunities of shaping more accountable big data governance and privacy-preserving technology innovation.

White Paper: Assessment of Privacy Preserving Big Data Technologies under development

This white paper is based on the e-SIDES project report “Assessment of Privacy Preserving Technologies under Development”, which had the main objective to validate privacy-preserving big data technologies under development as well as their implementation.

The main research question under this report was the following: How are security and privacy features in privacy-preserving technologies suitable to deal with the ethical, legal and societal values that come under pressure in specific big data application contexts? In addition, the report also explores how the ethical, legal and societal implications of such technologies are measured.

Data-Driven Stories: The Secondary Use of Health Data and Data-driven Innovation in the
European Healthcare Industry

Update of the European Data Market SMART 2016/0063

The aim of this quali-quantitative story is to investigate how the power of data and of data-related technologies is triggering the process of digital transformation in Europe, thus radically changing the healthcare industry. The story illustrates emerging trends such as health data donation practices or health data cooperative models (such as HealthBank and Midata), with the specific aim to investigate further the voluntary data donation phenomenon and the reasons behind the difficulties that it currently encounters to be scaled up in Europe. Real-life case studies and references have been selected so to ensure a geographical balance and intercept some of the most representative examples of data-driven transformation at play in today’s Europe’s healthcare sector.

White Paper: Requirements for the design and use of privacy preserving big data solutions

This white paper is based on the e-SIDES project report “Overview of design requirements”, which proposes and discusses four general requirements for the design and use of big data solutions. The requirements are based on previous e-SIDES research focused on the assessment of classes of privacy-preserving technologies and the analysis of their implementation gap, a review of related previous work and an analysis of design challenges in the context of privacy-preserving technologies.

Benchmarks of European and Industrial Significance

H2020 Project, 2018–2020

This report builds on the results of the economic and market analysis presented in the report “Preliminary Benchmarks of European and Industrial Significance” and on the deeper analysis of Big Data technology (BDT) business KPIs by industry presented in the report “Analysis of Actual and Emerging Industrial Needs”. It demonstrates that the 7 business KPIs selected in the project are valid metrics and can be used as benchmarks for comparative purposes by researchers and business users across Europe and for each of the industry and company-size segment measured. Finally, the report presents the results of the 2nd wave of the DataBench survey, carried out with the industrial partners of the H2020 ICT projects (pilots and business trials of Big Data), and outlines the results of the self-assessment tool.

e-SIDES Recommendations and Conclusions

H2020 Project, 2017–2019

Building on the insights gained during the implementation of the e-SIDES project after an intensive 3-year process, the primary aim of this document is to translate them into recommendations that help bringing different groups of actors as well as the field as a whole forward. With respect to groups of actors, the recommendations target developers and operators of big data solutions, developers of privacy-preserving technologies, policy makers dealing with relevant issues and civil society (organisations).
The recommendations are motivated by a couple of success stories that show that benefitting from data and taking responsibility seriously go well together. The stories that were selected for this purpose do not only address the storage, exchange and synthetisation of personal data but also authentication and signature.

Beyond Privacy: Learning Data Ethics - European Big Data Community Forum 2019 Event Report

H2020 Project, 2017–2019

The Beyond Privacy: Learning Data Ethics – European Big Data Community Forum 2019 was held on November 14, 2019 at the Solvay Library in Brussels. The event, supported by the Big Data Value PPP, was organised by five EU-funded H2020 research projects active in the Big Data field and focused on Privacy-Preserving Technologies, transparency and legal compliance: e-SIDES, MyHealthMyData, SODA, SPECIAL, WeNet.
By bringing together the community active in Big Data research, policy and industry, the event aimed at driving forward the discussion on how best to deal with ethical challenges in Big Data, also in view of the rise of Artificial Intelligence.
This report describes the event and presents the highlights and key findings stemming from the discussion. It includes links to the presentations, relevant papers and guidelines presented during the day, as well as pictures and visual summaries of the sessions.

Analysis of Actual and Emerging Industrial Needs

H2020 Project, 2018–2020

This document provides further analysis of the performance measurement metrics that companies are benchmarking to assess their use of Big Data and Analytics (BDA) to that presented in the previous DataBench report “Preliminary Benchmarks of Industrial Significance of Big Data Technology Performance Parameters”. The document is based on desk research from public sources, IDC research databases and a survey of 700 European businesses in 11 EU Member States. The report shows the importance of business KPIs for BDA users to benchmark the value of their BDA investments, analysed by sector and company size.

Assessment of Privacy Preserving Technologies under Development

H2020 Project, 2017–2019

Building on Deliverable 4.2 of the e-SIDES project, which developed general requirements for the use of big data solutions, the aim of this current report is to take a step forward and create an inventory of the impact assessment modes and tools of data-driven innovation and privacy-preserving technologies. The report addresses the following research questions:

  •  How are security and privacy features in big data-driven innovation projects—which we call privacy-preserving technologies—suitable to deal with the ethical, legal and societal values that come under pressure in specific big data application contexts?
  •  How the ethical, legal and societal implications of such technologies are measured?

White Paper: Implications of the General Data Protection Regulation - A Media Analysis

H2020 Project, 2017–2019

This white paper is based on the e-SIDES project report “Analysis of the gaps in the implementation of privacy-preserving technologies”, which does not only provide a gap analysis based on the findings related to the key ethical, legal, societal and economic issues emerging from the use of big data and the assessment of existing privacy-preserving technologies but also an analysis of the implications of the General Data Protection Regulation (GDPR). With respect to the implications of the GDPR, we analysed how the media in Germany and the United Kingdom reported on the GDPR around the regulation’s effective date.

Infographic: Big Data Analytics = Big Opportunities for EU Companies

H2020 Project, 2018–2020

This infographic presents the results of a survey carried out by DataBench, between September and October of 2018, on 700 European businesses in 11 EU Member States about Big Data Analytics (BDA). The detailed analysis is presented in the DataBench report “Preliminary benchmarks of Industrial Significance of Big Data Technologies Performance Parameters”.

Data Collection Plan

H2020 Project, 2018–2020

This report explains the methodology that will be used for the DataBench project case study analysis. The analysis will start from collecting evidence from a variety of sources, including the business literature, other relevant projects known by the consortium, as well as data collection from relevant businesses that can constitute a reference for the industry. In addition to this, it will analyse the work done by ICT–14 and ICT–15 projects, with a focus on benchmarks that may be available from the activities that these projects have conducted or are conducting to assess the impact of their research and experimentation efforts. The classification of the case studies is used to identify the main features differentiating them and enabling the definition of a qualitative sample representative of the European industry. The report discusses how case study recruitment will be performed, by engaging companies in the DataBench cooperative effort. It also discusses how case studies are analysed, explain how interviews, documentation and follow-ups will be performed.

Final Report on Policy Conclusions: Moving towards a Data-agile Economy

Update of the European Data Market SMART 2016/0063

Since 2013, the European Data Market Monitoring tool has traced the fast development of data-driven innovation and its gradual diffusion across industries and user constituencies. What started as a technology trend mostly relevant for business IT managers has quickly become a transformation process of deep social as well as economic relevance, witnessed by the over 400 €B of value reached by the European Data Economy in 2019, corresponding to 2.8% of the EU28 GDP. 2019 was also the year when the emergence of Artificial Intelligence and related technologies became visible outside the technology world. This created a new awareness about the power of data enabling all kinds of AIenabled decision-support systems, digital helpers in the work environment, robots, and drones, generating new cultural as well as ethical and organizational challenges.

Today, in 2020, a more mature understanding of the complexity of the multi-dimensional transformation driven by Big Data and AI has crystallised. The digital policy strategies presented in February 2020 by the new Commission led by Ursula Von der Leyen recognize this and represent a change of pace in data policies, both in breadth and boldness. The new European Data Strategy is a cornerstone of the new Europe’s Digital Strategy and underline the ambition for Europe to become a leading role model for a society empowered by data to make better decisions in business and the public sector. A renewed ambition for Europe to become a global leader in the data-agile economy is accompanied by the need to achieve “technological sovereignty” based on a resilient and independent data infrastructure. The White Paper on Artificial Intelligence presented the same day suggests several policy options to develop AI ecosystems of excellence and trust, reflecting the understanding of the systemic impacts of technological innovation always promoted by this study.

e-SIDES Success Story: Beyond Privacy - Ethical and Societal Implications of Data Science

Everywhere we go, from our homes and workplaces to holiday destinations and shopping trips, we generate huge amounts of data which are stored, analysed and used by companies, authorities and organisations.

Big Data is a feature of our everyday lives.

Data-driven innovation is deeply transforming society and the economy. Although there are potentially enormous economic and social benefits, this innovation also brings new challenges for individual and collective privacy, security, as well as democracy and participation.

Within this framework, the EU-funded e-SIDES project has provided legal, ethical and economic guidance for Big Data and AI projects. e-SIDES has shown how these issues can be addressed through the use of Privacy-Preserving Technologies leveraged and implemented in their research and architectures at design time.

Data-Driven Stories: Accelerating the Impact of Data Commons

With the explosion of data availability and resulting increase of data-related challenges pervasively affecting companies in a variety of industries, a third generation of systems emerge, so-called data commons, to integrate data from heterogeneous sources, computing and storage infrastructure with software services required for analysing and working with the data (Grossman et al. 2016). Data commons are currently managed by multiorganizational collaborations, usually a consortium or a group of organizations including competitors, that come together to share costs and resources to build a common infrastructure that supports data analysis and helps them extract value from the integration and re-use of the data shared.

From the lesser or higher degree of sharing across companies, such efforts of building common data pools need to address some challenges:

• To generate the appropriate incentives for organizations to share some data
• To provide the conditions under which they are willing to do it, that is a governance approach that defines rights and responsibilities across data owners and users
• To agree in a set of data formats, data structure and quality in which the data and its contextual information needs to be shared, which imply an agreement on data standards and metadata to allow interoperability across systems
• A sustainability model that guarantees that such infrastructure and efforts are not only maintained over time but eventually scale.

In brief, the development of such data commons displays the need for some technical and organizational creativity to make them happen and sustain over time. The present report brings some insights from two inspiring examples of data commons, which have achieved a governance approach that overcome the challenges at the base of developing and scaling data commons.

Second Report on Facts and Figures: Dataset

This Dataset Study accompanies the Second Report on Facts and Figures and offers an overview of the data based on which the report was drafted.

Rapport d’étude final - Note de synthèse: L’outil de surveillance du marché Européen des données faits et chiffres clés, premières conclusions, paysage des données et histoires quantifiées

Ceci est le rapport d’étude final (livrable D2.9) de la mise à jour de l’étude du marché européen des données (SMART 2016/0063), confiée en 2016 à IDC et au Lisbon Council. Le présent document rassemble les résultats et les activités réalisées par les prestataires dans le cadre:

• du rapport final sur les faits et chiffres (D2.7) qui intègre dans la mesure de l’outil européen de surveillance du marché des données les années 2018-2019 et les prévisions jusqu’à l’année 2025 selon trois scénarios alternatifs ;
• du rapport final sur les conclusions (D2.8) qui mesure les progrès des politiques européennes vers l’objectif d’optimisation de la croissance de l’économie des données telle que mesurée par l’outil européen de surveillance du marché des données ;
• des messages clés des histoires quantifiées (D3.6-7, D3.8 et D3.9) produites par l’équipe de l’étude et se concentrant sur les avantages opérationnels, organisationnels et/ou économiques générés par l’utilisation des technologies basées sur les données, en insistant sur les données communes et l’innovation basée sur les données dans l’industrie européenne des soins de santé ;
• du troisième rapport sur le paysage des données (D4.3) qui donne un aperçu du paysage des données de l’UE et propose un zoom actualisé sur la base de données du marché des entreprises de données en Europe.

Final Study Report: The European Data Market Monitoring Tool Key Facts & Figures, First Policy Conclusions, Data Landscape and Quantified Stories

This is the Final Study Report (Deliverable D2.9) of the Update of the European Data Market Study (SMART 2016/0063), entrusted in 2016 to IDC and the Lisbon Council. The present document brings together the results and the activities carried out by the contractors under:

• The Final Report on Facts & Figures (D2.7) extending the measurement of the European Data Market Monitoring Tool by presenting data for the years 2018-2019 and forecasts to the year 2025 under three alternative scenarios;
• The Final Report on Policy Conclusions (D2.8) measuring the progress of European policies towards the objective of maximising the growth of the Data Economy as measured by the European Data Market Monitoring Tool;
• The key messages from the quantified stories (D3.6-7, D3.8 and D3.9) produced by the study team and focusing on the operational, organizational and/or economic benefits generated by the use of data-driven technologies with a special focus on data Commons and Data-driven Innovation in the European Healthcare Industry;
• The Third Data Landscape Report (D4.3) providing an overview of the EU Data Landscape and offering an up-to-date zoom onto the database of data market companies in Europe.

Scaling up data-driven innovation: European industry requirements and the role of European data spaces

This story leverages a series of case studies of innovative big data applications by European industries to investigate the potential lessons learned for the establishment of European common data spaces. The story aims at:

• Providing an evidence-based and industry-specific view about the pragmatic requirements of Common European data spaces, with a focus on the requirements for data governance, access to data, access to infrastructures;
• Investigating the insights from industrial stakeholders engaged in scaling up data-driven innovation about drivers and barriers of data sharing;
• Comparing such insights with the results of the stakeholders’ discussion collected by the EC in the workshops about data-driven innovation in several industries;
• Draw final considerations about the potential requirements of common European data spaces in three main domains: manufacturing, finance and agriculture.

eGovernment Benchmarking Report 2018

European Commission Framework Contract, 2005-2020

The eGovernment Benchmark is a yearly measurement of eGovernment service delivery in Europe. Initiated by the European Commission in 2003, it continually evolves to remain relevant and provide policy makers with insights that help them make better decisions. It reports on state-of-play of leading policy principles related to User centricity, Transparency, and the deployment of Key enablers such as the once-only principle. It also looks at cross-border service provision. This report presents the results of the assessments performed in 2016 and 2017 in 34 countries – the European Union Member States, as well as Iceland, Norway, Montenegro, Republic of Serbia, Switzerland, and Turkey.

eGovernment Benchmarking Report 2019

European Commission Framework Contract, 2005-2020

The eGovernment Benchmark is a yearly measurement of eGovernment service delivery in Europe. Initiated by the European Commission in 2003, it continually evolves to remain relevant and provide policy makers with insights that help them make better decisions. The measurement evaluates the maturity of online public services in terms of user centricity, transparency, and use of key enablers. It also brings the dimension of cross-border service delivery. This report presents the results of the assessments performed in 36 countries – the European Union Member States, Iceland, Norway, Montenegro, Republic of Serbia, Switzerland, Turkey, as well as newly included Albania and North Macedonia.

Monitoring B2B Industrial Digital Platforms in Europe

This report investigates the status of B2B industrial digital platforms in terms of their emergence, development and distribution and underlines their relevance in fostering the process of digital transformation across industries, as well as their role as a fundamental enabler of the data economy in Europe and beyond. The report presents and profiles the main players that are currently active in the digital platform space and analyses the key dynamics underpinning the supply and demand of B2B industrial digital platforms, as well as the main use-cases where these are currently being used. In the last part of the document, the barriers that are currently hindering a further development and deployment of B2B industrial digital platforms in Europe are reviewed with the aim of providing an initial input for further action in terms of business and policy-making intervention.

Report on technology trends, technology uptake, investment and skills in advanced technologies

Using both traditional and novel types of data, this report carries out an in-depth analysis by exploring trends in the generation and uptake of advanced technologies, related entrepreneurial activities and skills. It interprets data from a list of data sources compiled to monitor advanced technologies and their applications in industry across the EU27 and key competitor economies such as patent data, business survey, Crunchbase, Dealroom, LinkedIn and textmining of company websites.

The starting point of this analysis has been sixteen advanced technologies that are a priority for European industrial policy and that enable process, product and service innovation throughout the economy and hence foster industrial modernisation. Advanced technologies are defined as recent or future technologies that are expected to substantially alter the business and social environment.

AT Watch on Artificial Intelligence

This Technology Watch report has a focus on Artificial Intelligence (AI) as one the most significant technologies that are currently shaping the whole process of digital transformation and industrial modernisation in Europe and Worldwide.

After an early stage dominated by innovative players and exploratory applications in specific business and societal scenarios, artificial intelligence has rapidly gained in importance and diffusion and is now beyond the nascent phase. The potential for future growth and economic impacts is still impressive, because AI is a general-purpose technology expected to be adopted in different ways by all industries and all social actors. Even if these estimates need to be revised because of the disruption caused by the COVID-19 pandemic, there is still no doubt about the relevance of the potential impacts of AI-driven innovation. Artificial intelligence is poised to span every aspect of our daily lives.

The speed of evolution of the market is impressive. At worldwide level, IDC forecasts the total spending on AI to grow at a 5-years Compound Annual Growth Rate of 26.5% for the period 2018–2023, up to €96 bn at the end of that period. The European Union market is expected to grow faster than the global market, representing a share of 23% of total by 2023.

ATI International report on South Korea

The objective of the international country reports is to explore the technology and policy landscape of selected non-European countries. Country performance in advanced technologies is presented based on patent, trade and investment data. The reports provide also a concise and informative review of policies relevant for advanced technology development and deployment.

The first section outlines the capacities of Korea in terms of technology generation (patent applications), followed by an analysis of international competitiveness in technology-based products (export shares) and, eventually, entrepreneurial dynamism (venture capital activities and investments in tech firms).

The second section analyses the main Korean policy strategy in support of advanced technologies and provides an overview of some of the key policy initiatives and policy measures in the field.

ATI International report on Japan

Japan is the world’s third largest economy and a leading industrial and technology power, particularly in the automotive and consumer electronics industries. Since the 1990’s Japan has suffered from deflation and sluggish growth. Since 2012, the expansive economic policies sponsored by the prime minister Shinzo Abe (“Abenomics”) combining a bold monetary policy, flexible fiscal policy and structural reforms, helped Japan to return to moderate growth, but increased public debt (226% of GDP in 2018). In the last 2 years 2018-19 economic growth slowed down again due to slowing world trade and natural disasters such as earthquakes and typhoons.

Japan is a world leader for digital infrastructures, with a high level of adoption of advanced technologies. For example, Japan leads the OECD on mobile broadband connectivity (with 168 subscriptions per 100 inhabitants) and has the second highest share of fibre connections in fixed broadband (77%). Japan is second only to Korea in robot density in manufacturing and around 47% of firms use cloud computing. It invests over 6% of GDP in ICT equipment, computer software and databases, R&D and other intellectual property. However, technology-enabled growth is constrained by uneven innovation capability and digital transformation, due to an ageing population (already reducing the labour force), advanced technology skills gaps, and low business dynamism by traditional industries. SMEs suffer from low productivity and R&D investments: their share of R&D spending at 5% is very low, compared to the OECD average of 30%.

NGI Classification and Assessment Methodology

H2020 Project, 2017–2018

The primary objective of this document is to define a performance measurement framework to observe, quantify and describe progress of the Next Generation Internet (NGI) programme as it moves forward over the next several years. To do this, this document will initially provide a mechanism to classify and categorise initiatives that will come to life over the course of the NGI programme, including those initiatives that receive support from the European Commission, identified by the HUB4NGI research or highlighted by the general community. The second objective of this document is to provide a framework for assessing how well any of the identified initiatives respond to the objectives of the European Commission and the public consultation performed to prepare the NGI programme.

NGI Impact Measures and Benchmarks

H2020 Project, 2017–2018

The goal of this document is to present Key Performance Indicators measurement assessment and benchmarking of initiatives within the NGI program. This document provides an overview of how initiatives active in the NGI technology areas (i.e. technology providers, research projects, policy makers and projects distributing funds to 3rd parties) progress towards some specific NGI goals and building on the defined Key Performance Indicators, which includes Innovation, Sustainability, Collaboration, Interoperability, Market Needs, Social Impact and User Experience, collecting data that describes how the measurements have been carried out.

White Paper: NGI Classification and Assessment Methodology

H2020 Project, 2017–2018

This white paper builds on the in-depth analysis presented in the “NGI Classification and Assessment Methodology” report, which defined a performance measurement framework to observe, quantify and describe progress of the Next Generation Internet (NGI) programme.

Switching Between Cloud Providers: Final Study Report

Study on behalf of the European Commission DG Connect

Considering the series of technical, legal and economic issues identified in the study as well as their impact on portability for different cloud stakeholders, the report elaborates on 3 different policy options to facilitate portability. First, it expands on the introduction of a mandatory right for portability under EU law identifying its main components. Second, it discusses existing soft law instruments for portability reflecting on their effectiveness to address the portability issues occurring in the cloud context. Third, it explains what abstinence from any action at EU level entails. Finally, the report examines the possible economic impacts of the policy measures that could be taken at EU level to increase cloud portability, by describing the possible effects of these on demand for public cloud services.

Report on the analysis of the European Language Technologies Market

Study on Service Portfolio Development and Business Case for CEF Automated Translation

This “Report on the analysis of the European Language Technologies market and possible shortcomings of the European LT market” addresses the objectives of Task 1 of the current study on service portfolio development and business case for CEF eTranslation. Task 1 “Analysis of the Language Technologies (LT) market at EU and Member State level, including Norway and Iceland”, led by IDC in collaboration with the consortium partners, has the overarching objective to provide a complete overview of the European market of language technologies, a description of the emerging trends and a forecast estimate of the growth in the revenues of the key European players.