New Horizons for a Data-Driven Economy

Cavanillas, Jos Mara; Curry, Edward; Wahlster, Wolfgang

doi:10.1007/978-3-319-21569-3

Cited by 131 publications

(26 citation statements)

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“…In the third phase, we mapped how the research and innovation topics identified in the first phase may be used to address societal externalities, and analysed how they may impact society and contribute to standardisation and skills development in order to capture the positive externalities. The relevance of each externality to the BYTE sectors and the mapping of research topics to externalities and sectors was assessed by a review of the case study reports [21] and complemented with an analysis of big data initiatives and external studies [2,12,[22][23][24][25] to include each significant contribution to the roadmap.…”

Section: Roadmapping Process and Methodologymentioning

confidence: 99%

“…Refs. [2,24,[45][46][47][48]. For example, the McKinsey report classifies the required skills in deep analytical talents to analyse the data, data-savvy managers and analysts to effectively consume the data and supporting technology personnel [45].…”

Section: Skills Development and Standardisationmentioning

confidence: 99%

“…The mapping has been done via a review of the BYTE studies and external resources investigating technical requirements, mainly Ref. [2] as this is the main resource from where the BDV SRIA document has evolved. In parallel, the mapping has been done as well at the BYTE Big data research roadmapping workshop, where the research topics were also prioritised, extended and revised.…”

Section: Prioritisation and Mappingmentioning

confidence: 99%

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The societal impact of big data: A research roadmap for Europe

Cuquet¹,

Fensel²

2018

Technology in Society

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With its rapid growth and increasing adoption, big data is producing a substantial impact in society. Its usage is opening both opportunities such as new business models and economic gains and risks such as privacy violations and discrimination. Europe is in need of a comprehensive strategy to optimise the use of data for a societal benefit and increase the innovation and competitiveness of its productive activities. In this paper, we contribute to the definition of this strategy with a research roadmap to capture the economic, social and ethical, legal and political benefits associated with the use of big data in Europe. The present roadmap considers the positive and negative externalities associated with big data, maps research and innovation topics in the areas of data management, processing, analytics, protection, visualisation, as well as non-technical topics, to the externalities they can tackle, and provides a time frame to address these topics in order to deliver social impact, skills development and standardisation. Finally, it also identifies what sectors will be most benefited by each of the research efforts. The goal of the roadmap is to guide European research efforts to develop a socially responsible big data economy, and to allow stakeholders to identify and meet big data challenges and proceed with a shared understanding of the societal impact, positive and negative externalities and concrete problems worth investigating in future programmes. IntroductionThe volume of data is growing exponentially, and is expected to reach the tens of zettabytes in 2020, of which a third is expected to be valuable if analysed, and about 40% will require protection [1]. The acquisition, analysis, curation, storage and usage of such big data may result in effects experienced by third parties that had no direct involvement in the activity itself. These externalities-positive if the action causes a positive effect or benefit to the third party, negative if it causes cost or harm-arise from decisions, activities or products by stakeholders such as industry, researchers and policy-makers.The present document contributes to the formulation of a strategy to define research and innovation efforts necessary for the realisation of a European big data economy by capturing and addressing the positive and negative societal externalities associated with the use of big data. It complements the technical challenges already identified [2] by taking a special focus on societal impacts, skills development and standardisation, and has been developed in parallel with a policy roadmap in the context of a multi-disciplinary study of the societal impacts of big data in seven European sectors aimed to define a roadmap and create a community that address and optimise these impacts [3].The term big data has received numerous definitions [4,5]. To develop the roadmap, we considered as a working definition that big data is that which uses big volume, big velocity, big variety data assets to extract value (insight and knowledge), and furthermor...

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Section: Roadmapping Process and Methodologymentioning

confidence: 99%

Section: Skills Development and Standardisationmentioning

confidence: 99%

Section: Prioritisation and Mappingmentioning

confidence: 99%

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The societal impact of big data: A research roadmap for Europe

Cuquet¹,

Fensel²

2018

Technology in Society

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“…The main contribution of this paper is the HOBBIT (Holistic Benchmarking of Big Linked Data) platform. HOBBIT was designed to accommodate the benchmarking of Big LD applications, i.e., applications driven by LD that exhibit Big Data requirements as to the volume, velocity and variety of data they process [8]. The platform was designed with extensibility in mind.…”

Section: Introductionmentioning

confidence: 99%

HOBBIT: A platform for benchmarking Big Linked Data

Röder

Kuchelev

Ngomo

2020

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Editor: Paul Groth (https://orcid.org/0000-0003-0183-6910) Solicited reviews: Victor de Boer (https://orcid.org/0000-0001-9079-039X); Laura Rettig (https://orcid.org/0000-0002-9765-0549)Abstract. An increasing number of solutions aim to support the steady increase of the number of requirements and requests for Linked Data at scale. This plethora of solutions leads to a growing need for objective means that facilitate the selection of adequate solutions for particular use cases. We hence present HOBBIT, a distributed benchmarking platform designed for the unified execution of benchmarks for Linked Data solutions. The HOBBIT benchmarking platform is based on the FAIR principles and is the first benchmarking platform able to scale up to benchmarking real-world scenarios for Big Linked Data solutions. Our online instance of the platform has more than 300 registered users and offers more than 40 benchmarks. It has been used in eleven benchmarking challenges and for more than 13000 experiments. We give an overview of the results achieved during 2 of these challenges and point to some of the novel insights that were gained from the results of the platform. HOBBIT is open-source and available at http://github.com/hobbit-project.This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution License (CC BY 4.0). 2451-8484 © 2020 -IOS Press and the authors. 16 M. Röder et al. / HOBBIT

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“…The benefits of big data in the public sector can be grouped into three major areas [38]: (i) improvements in efficiency; (ii) improvements in effectiveness; and (iii) learning from the performance of public services. Lauchlan [39] describes the adoption of big data to deliver social benefits.…”

Section: -9-public Sectormentioning

confidence: 99%

Big Data: Concept, Potentialities and Vulnerabilities

Almeida

2018

ESJ

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The evolution of information systems and the growth in the use of the Internet and social networks has caused an explosion in the amount of available data relevant to the activities of the companies. Therefore, the treatment of these available data is vital to support operational, tactical and strategic decisions. This paper aims to present the concept of big data and the main technologies that support the analysis of large data volumes. The potential of big data is explored considering nine sectors of activity, such as financial, retail, healthcare, transports, agriculture, energy, manufacturing, public, and media and entertainment. In addition, the main current opportunities, vulnerabilities and privacy challenges of big data are discussed. It was possible to conclude that despite the potential for using the big data to grow in the previously identified areas, there are still some challenges that need to be considered and mitigated, namely the privacy of information, the existence of qualified human resources to work with Big Data and the promotion of a data-driven organizational culture.

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New Horizons for a Data-Driven Economy

Cited by 131 publications

References 0 publications

The societal impact of big data: A research roadmap for Europe

The societal impact of big data: A research roadmap for Europe

HOBBIT: A platform for benchmarking Big Linked Data

Big Data: Concept, Potentialities and Vulnerabilities

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