A European Approach to the Establishment of Data Spaces

A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Information Systems and Data Management".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 35034

Special Issue Editors


E-Mail
Guest Editor
European Commission DG Joint Research Centre, Unit B6, Via E. Fermi 749, 21027 Ispra, VA, Italy
Interests: data-driven innovation; sensor web; GIScience; web services; emerging technologies; data standardisation and interoperability; data fusion; spatial data infrastructures

E-Mail Website
Guest Editor
European Commission-Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, VA, Italy
Interests: volunteered geographic information; OpenStreetMap; landcover/land use validation; open source geospatial software; geospatial interoperability; spatial data infrastructures; data spaces
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
European Commission DG Joint Research Centre, Unit B6, Via E. Fermi 749, 21027 Ispra, VA, Italy
Interests: environmental data infrastructures, interoperability, geographic information
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
European Commission DG Joint Research Centre, Unit B6, Via E. Fermi 749, 21027 Ispra, VA, Italy
Interests: IT project management; knowledge management; information technologies; information analysis; remote sensing; geographic; information system; information technology; earth observation; artificial intelligence; data science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The newly launched European Data Strategy [1] defines an ambitious agenda for making use of heterogeneous data sources through the establishment of an agile approach that brings together multiple stakeholders with their different interests, backgrounds, and capacities. The overall objective of the Strategy is to establish a single pan-European market for data, and thus act as a catalyst for digital innovation and growth. Conceptually, the implementation of this ambitious political agenda does not define a rigid ex-ante legal framework. Instead, a flexible approach through the use of sandboxing is envisaged which should ultimately satisfy the requirements of the different stakeholders (academia, businesses, public sector authorities, and citizens) to the maximum extent possible.

A multitude of cross-cutting issues should be addressed which play a key role for the Data Strategy to be successful. These relate to the definition of sustainable governance models for data, appropriate socio-economic incentives, choice of standards and technologies ensuring interoperability, the establishment of reference architectures and licensing frameworks, and multi-source data quality assessment frameworks. Within this context, we welcome multidisciplinary and multi-domain submissions that would contribute to (i) shaping the research agenda, and (ii) providing best practices for data-driven innovation that are in line with European values. In particular, we encourage empirical, methodological, conceptual, or review contributions addressing, but not limited to, the following topics:

  • Impact of the rapid growth of the Internet of Things (IoT) and edge computing;
  • Data altruism and citizen empowerment through data;
  • Establishment of data spaces in the following domains: environment, agriculture, health, mobility, public sector;
  • Edge- and cloud-based data architectures, including cloud portability;
  • Data interoperability, standardization, and technologies;
  • Innovative data governance and licensing approaches;
  • Urban and regional data-driven innovation;
  • Development and use of datasets with high social and economic value;
  • Combination, conflation, and/or cross-validation of public, private, and citizen-generated data;
  • New data spaces and data flows emerging during or after the COVID-19 pandemic.

[1] https://ec.europa.eu/info/strategy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_en

Dr. Alexander Kotsev
Dr. Marco Minghini
Dr. Massimo Craglia
Dr. Stefano Nativi
Dr. Carlos Granell
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (8 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Editorial

Jump to: Research, Other

5 pages, 686 KiB  
Editorial
A European Approach to the Establishment of Data Spaces
by Marco Minghini, Alexander Kotsev and Carlos Granell
Data 2022, 7(8), 118; https://doi.org/10.3390/data7080118 - 19 Aug 2022
Cited by 3 | Viewed by 2341
Abstract
Within a context defined by the rapid increase in the availability of data, combined with the complexity of data sources, infrastructures, technologies and actors involved in data sharing flows, the European Union (EU) is devising approaches that can reap the benefits of data-driven [...] Read more.
Within a context defined by the rapid increase in the availability of data, combined with the complexity of data sources, infrastructures, technologies and actors involved in data sharing flows, the European Union (EU) is devising approaches that can reap the benefits of data-driven innovation [...] Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

Research

Jump to: Editorial, Other

28 pages, 3029 KiB  
Article
Populating the Data Space for Cultural Heritage with Heritage Digital Twins
by Franco Niccolucci, Achille Felicetti and Sorin Hermon
Data 2022, 7(8), 105; https://doi.org/10.3390/data7080105 - 29 Jul 2022
Cited by 22 | Viewed by 4749
Abstract
The present paper concerns the design of the semantic infrastructure of the data space for cultural heritage as envisaged by the European Commission in its recent documents. Due to the complexity of the cultural heritage data and of their intrinsic inter-relationships, it is [...] Read more.
The present paper concerns the design of the semantic infrastructure of the data space for cultural heritage as envisaged by the European Commission in its recent documents. Due to the complexity of the cultural heritage data and of their intrinsic inter-relationships, it is necessary to introduce a novel ontology, yet compliant with existing standards and interoperable with previous platforms used in this context as Europeana. The data space organization must be tailored to the methods and the theory of cultural heritage, briefly summarized in the introduction. The new ontology is based on the Digital Twin concept, i.e., the digital counterpart of cultural heritage assets incorporating all the digital information pertaining to them. This creates a Knowledge Base on the cultural heritage data space. The paper outlines the main features of the proposed Heritage Digital Twin ontology and provides some examples of its application. Future work will include completing the ontology in all its details and testing it in other real cases and with the various sectors of the cultural heritage community. Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

21 pages, 11095 KiB  
Article
OpenStreetMap Contribution to Local Data Ecosystems in COVID-19 Times: Experiences and Reflections from the Italian Case
by Marco Minghini, Alessandro Sarretta and Maurizio Napolitano
Data 2022, 7(4), 39; https://doi.org/10.3390/data7040039 - 31 Mar 2022
Cited by 7 | Viewed by 3335
Abstract
Data and digital technologies have been at the core of the societal response to COVID-19 since the beginning of the pandemic. This work focuses on the specific contribution of the OpenStreetMap (OSM) project to address the early stage of the COVID-19 crisis (approximately [...] Read more.
Data and digital technologies have been at the core of the societal response to COVID-19 since the beginning of the pandemic. This work focuses on the specific contribution of the OpenStreetMap (OSM) project to address the early stage of the COVID-19 crisis (approximately from February to May 2020) in Italy. Several activities initiated by the Italian OSM community are described, including: mapping ‘red zones’ (the first municipalities affected by the emergency); updating OSM pharmacies based on the authoritative dataset from the Ministry of Health; adding information on delivery services of commercial activities during COVID-19 times; publishing web maps to offer COVID-19-specific information at the local level; and developing software tools to help collect new data. Those initiatives are analysed from a data ecosystem perspective, identifying the actors, data and data flows involved, and reflecting on the enablers and barriers for their success from a technical, organisational and legal point of view. The OSM project itself is then assessed in the wider European policy context, in particular against the objectives of the recent European strategy for data, highlighting opportunities and challenges for scaling successful approaches such as those to fight COVID-19 from the local to the national and European scales. Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

14 pages, 431 KiB  
Article
Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study
by Claire Jean-Quartier, Miguel Rey Mazón, Mario Lovrić and Sarah Stryeck
Data 2022, 7(2), 20; https://doi.org/10.3390/data7020020 - 28 Jan 2022
Cited by 6 | Viewed by 4369
Abstract
Research and development are facilitated by sharing knowledge bases, and the innovation process benefits from collaborative efforts that involve the collective utilization of data. Until now, most companies and organizations have produced and collected various types of data, and stored them in data [...] Read more.
Research and development are facilitated by sharing knowledge bases, and the innovation process benefits from collaborative efforts that involve the collective utilization of data. Until now, most companies and organizations have produced and collected various types of data, and stored them in data silos that still have to be integrated with one another in order to enable knowledge creation. For this to happen, both public and private actors must adopt a flexible approach to achieve the necessary transition to break data silos and create collaborative data sharing between data producers and users. In this paper, we investigate several factors influencing cooperative data usage and explore the challenges posed by the participation in cross-organizational data ecosystems by performing an interview study among stakeholders from private and public organizations in the context of the project IDE@S, which aims at fostering the cooperation in data science in the Austrian federal state of Styria. We highlight technological and organizational requirements of data infrastructure, expertise, and practises towards collaborative data usage. Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

32 pages, 6529 KiB  
Article
A Sustainable Method for Publishing Interoperable Open Data on the Web
by Raf Buyle, Brecht Van de Vyvere, Julián Rojas Meléndez, Dwight Van Lancker, Eveline Vlassenroot, Mathias Van Compernolle, Stefan Lefever, Pieter Colpaert, Peter Mechant and Erik Mannens
Data 2021, 6(8), 93; https://doi.org/10.3390/data6080093 - 19 Aug 2021
Cited by 3 | Viewed by 2642
Abstract
Smart cities need (sensor) data for better decision-making. However, while there are vast amounts of data available about and from cities, an intermediary is needed that connects and interprets (sensor) data on a Web-scale. Today, governments in Europe are struggling to publish open [...] Read more.
Smart cities need (sensor) data for better decision-making. However, while there are vast amounts of data available about and from cities, an intermediary is needed that connects and interprets (sensor) data on a Web-scale. Today, governments in Europe are struggling to publish open data in a sustainable, predictable and cost-effective way. Our research question considers what methods for publishing Linked Open Data time series, in particular air quality data, are suitable in a sustainable and cost-effective way. Furthermore, we demonstrate the cross-domain applicability of our data publishing approach through a different use case on railway infrastructure—Linked Open Data. Based on scenarios co-created with various governmental stakeholders, we researched methods to promote data interoperability, scalability and flexibility. The results show that applying a Linked Data Fragments-based approach on public endpoints for air quality and railway infrastructure data, lowers the cost of publishing and increases availability due to better Web caching strategies. Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

20 pages, 946 KiB  
Article
APIs for EU Governments: A Landscape Analysis on Policy Instruments, Standards, Strategies and Best Practices
by Lorenzino Vaccari, Monica Posada, Mark Boyd and Mattia Santoro
Data 2021, 6(6), 59; https://doi.org/10.3390/data6060059 - 08 Jun 2021
Cited by 3 | Viewed by 5317
Abstract
Application Programming Interfaces (APIs) could greatly facilitate the exchange of data and functionalities between software applications in a flexible, controlled and secure way, especially on the web. Private companies, from startups to enterprises, have been using APIs for several years now, but it [...] Read more.
Application Programming Interfaces (APIs) could greatly facilitate the exchange of data and functionalities between software applications in a flexible, controlled and secure way, especially on the web. Private companies, from startups to enterprises, have been using APIs for several years now, but it is only recently that APIs have seen increased interest in the public sector. API adoption in the public sector faces organisational, technical, legal and economic obstacles, and to overcome these barriers, proposed methods from the private sector and early adopters in the public sector provide a way forward. The available documentation is often sparse, difficult to find and to reuse for new contexts. No past efforts to collect and analyse these resources have been made. To address this shortcoming, this paper describes a landscape analysis in four areas: the main European Commission policy instruments on the adoption of APIs, the available web API standards, a set of European government API strategies and cases, and a list of government proposed methods distilled from more than 3900 documents. Our results reveal that European policy legislation and associated instruments promote, and in some cases mandate, the use of APIs, and that governments’ API strategies in the European Union are rather young but also that there are well known web APIs standards and proposed methods ready to support the digital transformation of governments through rapid, harmonised and successful adoption of APIs. Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

Other

Jump to: Editorial, Research

11 pages, 646 KiB  
Data Descriptor
Mobile Apps to Fight the COVID-19 Crisis
by Chrisa Tsinaraki, Irena Mitton, Marco Minghini, Marina Micheli, Alexander Kotsev, Lorena Hernandez Quiros, Fabiano-Antonio Spinelli, Alessandro Dalla Benetta and Sven Schade
Data 2021, 6(10), 106; https://doi.org/10.3390/data6100106 - 08 Oct 2021
Cited by 9 | Viewed by 2661
Abstract
The COVID-19 pandemic led to a multi-faceted global crisis, which triggered the diverse and quickly emerging use of old and new digital tools. We have developed a multi-channel approach for the monitoring and analysis of a subset of such tools, the COVID-19 related [...] Read more.
The COVID-19 pandemic led to a multi-faceted global crisis, which triggered the diverse and quickly emerging use of old and new digital tools. We have developed a multi-channel approach for the monitoring and analysis of a subset of such tools, the COVID-19 related mobile applications (apps). Our approach builds on the information available in the two most prominent app stores (i.e., Google Play for Android-powered devices and Apple’s App Store for iOS-powered devices), as well as on relevant tweets and digital media outlets. The dataset presented here is one of the outcomes of this approach, uses the content of the app stores and enriches it, providing aggregated information about 837 mobile apps published across the world to fight the COVID-19 crisis. This information includes: (a) information available in the mobile app stores between 20 April 2020 and 2 August 2020; (b) complementary information obtained from manual analysis performed until mid-September 2020; and (c) status information about app availability on 28 February 2021, when we last collected data from the mobile app stores. We highlight our findings with a series of descriptives, which depict both the activities in the app stores and the qualitative information that was revealed by the manual analysis. Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

11 pages, 1508 KiB  
Data Descriptor
Data for Sustainable Platform Economy: Connections between Platform Models and Sustainable Development Goals
by Mayo Fuster Morell, Ricard Espelt and Enric Senabre Hidalgo
Data 2021, 6(2), 7; https://doi.org/10.3390/data6020007 - 20 Jan 2021
Cited by 3 | Viewed by 5946
Abstract
In recent years, the platform economy has been recognised by researchers and governments around the world for its potential to contribute to the sustainable development of society. Yet, platform economy cases such as Uber, Airbnb, and Deliveroo have created a huge controversy over [...] Read more.
In recent years, the platform economy has been recognised by researchers and governments around the world for its potential to contribute to the sustainable development of society. Yet, platform economy cases such as Uber, Airbnb, and Deliveroo have created a huge controversy over their socioeconomic impact, while other alternative models have been associated with a new form of cooperativism. In parallel, the United Nations are advocating global sustainable development by promoting Sustainable Development Goals (SDGs), considering elements such as decent work, inclusive and sustainable economic growth, and fostering innovation. In any case, the SDGs have been also criticised for the lack of digital perspective. This dataset draws from two 2020 European projects’ (DECODE and PLUS) data collections and presents the possibility to compare different platform economy models and their connections with the SDGs. Full article
(This article belongs to the Special Issue A European Approach to the Establishment of Data Spaces)
Show Figures

Figure 1

Back to TopTop