Abstract:In November 2018, the European Commission launched the European Open Science Cloud (EOSC) in Vienna. The EOSC envisions establishing a European data infrastructure, integrating high-capacity cloud solutions, eventually widening the scope of these services to include the public sector and the industry. Understanding the EOSC structure is a first step in recognizing the opportunities offered by the newly launched EOSC. This article offers some reflections for a better understanding of the realization of the EOSC… Show more
“…Notwithstanding these challenges, the elements needed to create a “commons for scientific research data” are already in place, but they are lost in fragmentation across member states and across different scientific communities (European Commission, 2016a ). The process toward an EOSC “commons for scientific data” is community-driven and multi-level, that is (multi-)national, regional (Europe), and global (Budroni et al, 2019 ). In 2018, the European Commission has initiated the process that leads to the creation of an “Internet for science,” on principles of minimal governance, maximum freedom to implement, globally interoperable and accessible, and globally embedded in a “commons” based on scientific data (European Commission, 2016a ).…”
Section: European Holistic Policy To Open Sciencementioning
Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective.
“…Notwithstanding these challenges, the elements needed to create a “commons for scientific research data” are already in place, but they are lost in fragmentation across member states and across different scientific communities (European Commission, 2016a ). The process toward an EOSC “commons for scientific data” is community-driven and multi-level, that is (multi-)national, regional (Europe), and global (Budroni et al, 2019 ). In 2018, the European Commission has initiated the process that leads to the creation of an “Internet for science,” on principles of minimal governance, maximum freedom to implement, globally interoperable and accessible, and globally embedded in a “commons” based on scientific data (European Commission, 2016a ).…”
Section: European Holistic Policy To Open Sciencementioning
Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective.
“…The EOSC Declaration, widely adopted by numerous European institutions, research infrastructures (RIs), and societies 5 , sketches out a vision of a pan-European meta-infrastructure “federating existing resources across national data centres, European e-infrastructures and research infrastructures” ( European Commission, 2017 , 3). The key to the EOSC is its unique governance model, which intertwines community-driven and multi-governmental movements ( Budroni et al , 2019 , 130–31). Thus, it is essential that the needs of scholarly communication are properly addressed by the relevant communities, allowing for the proliferation of open science.…”
Section: Scholarly Communication: From Theory To Infrastructurementioning
This article presents a vision for a scholarly communication research infrastructure for social sciences and humanities (SSH). The COVID-19 pandemic has highlighted the pressing need to access research outputs without the traditional economic and temporal barriers. This article explores the current scholarly communication landscape, assessing the reasons for the slower uptake of open access in SSH research. The authors discuss such frontiers as commercial interests, sources of academic prestige and discipline-specific genres. This article defines and discusses the key areas in which a research infrastructure can play a vital role in making open scholarly communication a reality in SSH: (1) providing a federated and easy access to scattered SSH outputs; (2) supporting publication and dissemination of discipline-specific genres (e.g. monographs, critical editions); (3) providing help with evaluation and quality assurance practices in SSH; (4) enabling scholarly work in national languages, which is significant for local communities; (5) being governed by researchers and for researchers as a crucial factor for productive, useful and accessible services; (6) lastly, considering the needs of other stakeholders involved in scholarly communication, such as publishers, libraries, media, non-profit organisations, and companies. They conclude that a scholarly-driven, inclusive, dedicated infrastructure for the European Research Area is needed in order to advance open science in SSH and to address the issues tackled by SSH researchers at a structural and systemic level.
“…This purposely means that individual stakeholder communities can define their own solutions and that these can be adapted over time as technologies evolve. While this freedom of choice may have contributed to the rapid and widespread adoption of the FAIR principles by stakeholders encompassing scientists, publishers, funding agencies and policy makers (for an overview see Budroni et al [3]), it has also brought the inherent risk of incompatible solutions between stakeholder communities.…”
The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability and Reusability of digital resources. This has likely contributed to the broad adoption of the FAIR principles, because individual stakeholder communities can implement their own FAIR solutions. However, it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations. Thus, while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways, for true interoperability we need to support convergence in implementation choices that are widely accessible and (re)-usable. We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations. Any self-identified stakeholder community may either choose to reuse solutions from existing implementations, or when they spot a gap, accept the challenge to create the needed solution, which, ideally, can be used again by other communities in the future. Here, we provide interpretations and implementation considerations (choices and challenges) for each FAIR principle.
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