Special Issue "FAIR Data, FAIR Services, and the European Open Science Cloud"

A special issue of Publications (ISSN 2304-6775).

Deadline for manuscript submissions: closed (31 December 2019).

Special Issue Editors

Dr. Paolo Budroni

Guest Editor
TU Wien Bibliothek, Vienna, Austria
Interests: Open Science; Internet of FAIR data and services; policy development; advanced library services; data culture, e-Infrastructures: development and evaluation
Mr. Wouter Schallier

Guest Editor
Hernán Santa Cruz Library, CEPAL/ ECLAC, United Nations
Interests: Open Science; Internet of FAIR data and services; policy development; advanced library services; data culture, e-Infrastructures: development and evaluation
Ms. Barbara Sánchez

Guest Editor
Head of Center for Research Data Management, Technische Universität Wien, TU Wien Bibliothek
Interests: Open Science; Internet of FAIR data and services; policy development; advanced library services; data culture, e-Infrastructures: development and evaluation
Mr. Gultekin Gurdal

Guest Editor
Head of Library, Izmir Institute of Technology
Interests: Open Science; Internet of FAIR data and services; policy development; advanced library services; data culture, e-Infrastructures: development and evaluation
Ms. Ilkay Holt

Guest Editor
Freelance Consultant
Interests: Open science; open repositories; open data management; FAIR principles; semantic interoperability; open licences; capacity development
Mr. Paul Walk

Guest Editor
Founder and Director Antleaf Ltd.
Interests: Open Science; Metadata development and management; data repository development; Next Generation Repositories; Scholarly Communications

Special Issue Information

Dear Colleagues,

In November 2018, under the Austrian Presidency, the European Commission launched the      European Open Science Cloud at the University of Vienna. The EOSC is not a dedicated infrastructure or software package, it is a process of making research data in Europe accessible to all researchers under the same conditions for use. The initiative aims to give a strong push in Europe towards a culture of open research data that are findable, accessible, interoperable and reusable (FAIR), thereby allowing all European researchers to engage in data-driven science.

The EOSC envisions interlinking existing European data infrastructures, integrating high-capacity cloud solutions, and in due course, widening the scope of these services to include users from the public sector and industry. Efforts focussing on the development of sustainable collaborative ecosystems, as foreseen by the EOSC, are particularly directed towards Data Culture, Research Data Services, Federated Architecture and co-Funding.

This special issue, timed to coincide with the “Focus on FAIR data and the European Open Science Cloud” workshop taking place in Graz, Austria on November 7th 2019, aims to critically examine these developments from multiple perspectives. Here, we welcome contributions that seek to investigate how increased interoperability, transparency, and accessibility of processes and data could aid scholarly publishing to best serve the needs of scholarship and wider society. Equally, critical views that engage with the benefits of ‘closed’ or proprietary systems are encouraged. Our intention is to increase the critical discourse surrounding this rapidly evolving landscape, and we encourage submissions from the global research community.

This issue especially welcomes contributions that address the following:

  • FAIR Data and Services as drivers of e-Research and digitisation of science
  • Common culture of data stewardship [stewardship of European research data]
  • Data culture, openness and funders policies [how some jurisdictions and research funders have moved to supporting the internet of FAIR Data and services. Issues related to collaborative international funding of FAIR Data]
  • Perspectives from outside Europe, complementary or divergent approaches
  • Reward and citation systems [Researchers, that make research data open and FAIR should be rewarded for this]
  • FAIR Data, Research Institutions, industrial collaboration and society: values beyond research
  • The non-trivial challenge to set up machine actionable Data Management Plans [key elements]
  • Exploiting the translational power of e-Research: ‘Data sharing’ versus ‘data visiting’
  • Global legal and ethical challenges in a world of FAIR Data and Services
  • FAIR Data: End users’ needs, minimal standards of interoperability [technical, semantic, legal, organisational]
  • Certification of FAIR Services
  • Social, political, and economic arguments for the different aspects of ‘FAIRization” of data

Dr. Paolo Budroni
Mr. Wouter Schallier
Ms. Barbara Sánchez
Mr. Gultekin Gurdal
Ms. Ilkay Holt
Mr. Paul Walk
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 papers will be 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 Authorspage. Publications is an international peer-reviewed open access quarterly 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 1000 CHF (Swiss Francs). The Article Processing Charge (APC) is waived for all manuscripts submitted to this special issue. 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.

Keywords

  • Open Science
  • European Open Science Cloud
  • Internet of FAIR data and services
  • policy development
  • advanced library services
  • data culture
  • e-Infrastructures
  • development and evaluation
  • rules of participation in Open Science
  • Sustainable development of infrastructures
  • Diversity in e-Infrastructures development (regional, discipline specific, other diversities)
  • Bridging gaps

Published Papers (1 paper)

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Research

Open AccessArticle
FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units
Publications 2020, 8(2), 21; https://doi.org/10.3390/publications8020021 - 11 Apr 2020
Abstract
Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mechanisms to efficiently operate in the domain of scientific [...] Read more.
Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mechanisms to efficiently operate in the domain of scientific assertions, (5) turning data into actionable knowledge units and (6) promoting data interoperability. As a way to overcome these challenges, we further develop the proposals by early Internet pioneers for Digital Objects as encapsulations of data and metadata made accessible by persistent identifiers. In the past decade, this concept was revisited by various groups within the Research Data Alliance and put in the context of the FAIR Guiding Principles for findable, accessible, interoperable and reusable data. The basic components of a FAIR Digital Object (FDO) as a self-contained, typed, machine-actionable data package are explained. A survey of use cases has indicated the growing interest of research communities in FDO solutions. We conclude that the FDO concept has the potential to act as the interoperable federative core of a hyperinfrastructure initiative such as the European Open Science Cloud (EOSC). Full article
(This article belongs to the Special Issue FAIR Data, FAIR Services, and the European Open Science Cloud)
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