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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Juliane Päßler; Maurice H. ter Beek; Ferruccio Damiani; Silvia Lizeth Tapia Tarifa; +1 Authors

    Self-adaptation is a crucial feature of autonomous systems that must cope with uncertainties in, e.g., their environment and their internal state. Self-adaptive systems are often modelled as two-layered systems with a managed subsystem handling the domain concerns and a managing subsystem implementing the adaptation logic. We consider a case study of a self-adaptive robotic system; more concretely, an autonomous underwater vehicle (AUV) used for pipeline inspection. In this paper, we model and analyse it with the feature-aware probabilistic model checker ProFeat. The functionalities of the AUV are modelled in a feature model, capturing the AUV's variability. This allows us to model the managed subsystem of the AUV as a family of systems, where each family member corresponds to a valid feature configuration of the AUV. The managing subsystem of the AUV is modelled as a control layer capable of dynamically switching between such valid feature configurations, depending both on environmental and internal conditions. We use this model to analyse probabilistic reward and safety properties for the AUV.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    ISTI Open Portal
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1007/978-3-...
    Part of book or chapter of book . 2023 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      https://doi.org/10.1007/978-3-...
      Part of book or chapter of book . 2023 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Papini O.;

    In two previous technical reports we described a tool that produces a so-called spaghetti plot, i.e. a plot that is able to capture the trends of the sea surface temperature (SST) in a chosen time interval and within a target area; and the formalization of spaghetti plots through the definition of two custom Python 3 classes. In this report we outline an algorithm that uses SST data to detect and classify mesoscale upwelling events. In particular, the algorithm (called Mesoscale Events Classifier, MEC) takes as input the SST data organized as a SpaghettiData dictionary and returns a map of the area of interest where the zones in which the algorithm detects an event are highlighted and labelled with an event type.

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    Authors: Assante M.; Candela L.; Cirillo R.; Dell'Amico A.; +6 Authors

    This deliverable D5.3 "Virtual Research Environment Operation Report years 3-4" is the revised and updated version of deliverable D5.2 "Virtual Research Environment Operation Report years 1-2". It describes the activities carried out during the DESIRA project within Work Package 5. Specifically, in Task 5.1 "Knowledge Infrastructure: the DESIRA Virtual Research Environment" and Task 5.2 "Integration of Services and Tools and Use Reporting". It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at the end of the project in the DESIRA infrastructure. Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products to be developed and delivered by the DESIRA project to support Project coordination, Living Labs activities and Rural Digitization Forums activities. The development of VREs is based on three main activities: (i) the development of software artefacts that realise a set of functions (including those needed for accessing specific datasets), (ii) the deployment of these artefacts in an operational infrastructure following the release procedures and tools, and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1, 2]. This report documents the last of the above three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the context of the DESIRA project. The DESIRA Infrastructure Gateway offers end-user access to 14 VREs. As of May 2023, 14 VREs were created and operated. Specifically, the DESIRA Project VRE (cf. Sec 3.1.1) was created before the project kick-off. These VREs have served the needs of more than 390 users and more than 10.200 user sessions. This required dealing with 185 tickets (121 related to the project management, 43 requests for tasks, support and enhancements; 7 requests for incidents and bugs; 14 requests for VRE creations).

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    Authors: Toli E.; Koltsida P.; Marinos-Kouris C.; Hardy C.; +2 Authors

    This report presents how to integrate critical values of the digitisation process and apply these values during the various phases of digital solutions development, testing, and adoption. It showcases this in a practical way, by presenting two proof-of-concept solutions delivered by DESIRA. The report presents thoroughly the DigiCroft virtual farm and the Chatbot technologies and displays their technical features, design perspectives and their wider social and economic impacts, perceived as system disruptors, aiming to juxtapose the technology design characteristics with integrated digitisation practices, as defined from DESIRA's standpoint.

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    Authors: Bacco F. M.; Ferrari A.; Berg M.; Schroth C.; +10 Authors

    This document provides DESIRA's third set of practice abstracts (PAs) which is a compilation of seven PAs. Those PAs are based on the experiences, lessons learned, project actions and reporting of the WP3 activities that aimed at the development of scenarios and showcasing of technologies building on the concept of digital game changers. Tasks 3.5 'Use Case development' and 3.6 'Showcase Technologies', are the main contributing project tasks that provided concrete results on which these seven PAs, cited in this report, are based. The first five PAs provide a concise description of five use cases that were developed during the second period of the DESIRA project. An array of conducted activities inside the boundaries of five preselected Living Labs, and with the participation of those LL's stakeholders, were planned so that WP3 could culminate in the development of five technology adoption use cases. The last two PAs of this report, supplement the five aforementioned use case PAs by showcasing two additional promising technology solutions that have the potential to contribute to sustainable digital transition pathways, as those are defined by the DESIRA's theoretical framework and as reflected by the examined agro-rural-forestry settings of this project. For a thorough and detailed analysis of the methodology, activities, and outcomes that contributed to the production of the use cases and showcase technology reports, it is recommended the reading of deliverables D3.3 'Use Cases Report' and D3.4 'Showcase Technology Report' which are the foundation documents on which this deliverable is based on.

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    Authors: Vannini G. L.; Coro G.;

    Atlas of agri-environmental spatial data developed in the context of the ITINERIS PNRR project. This is a cartographic collection of geospatial data with resolution lower than 50m for the Massaciuccoli Lake Basin.

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    Authors: Bacco F. M.; Ferrari A.; Mannari C.;

    In DESIRA, five Living Labs were selected to carry out use case workshops. The objective was to codesign a digital tool in each different context. To do so, the participants agreed on one or more goals to be reached. Building on both the focal question and the scenario question that each Living Lab has developed in previous activities, a use case statement has been co-developed to carry out use case workshops. The use case statement describes the goal(s) of the tool to be co-designed, the involved actors, and the needed ICT components. The used methodology is described in this report, as well as the outputs of the process. The methodology has been adapted to the concept of socio-cyber-physical system that DESIRA developed, opening discussions on impacts, drivers, and barriers as further step in the process, following the high-level design of the digital tool and of its main functionalities. Each Living Lab identified what the participants deemed as needed in their region in terms of a novel digital tool. The presence of various stakeholders in Living Labs has made it easier to consider a wide range of needs since the very beginning, allowing everyone to have a role when it comes to the use of the co-designed digital tool. Such a mechanism, not embedded in the typical use case methodology - which only clarifies the role of those considered as users by ICT designers - has been further strengthened in the workshops, therefore going beyond the traditional approach. In fact, by fostering discussions on impacts, drivers, and barriers, the proposed methodology has allowed the participants to reflect, early on in the process, on the potential impacts of the introduction of digital technologies. Last but not least, it is worth pointing out that the outputs of the use cases, summarised in this document, provide a valuable starting point for software companies willing to design and develop digital tools not only according to users' needs and desires but also tailored to the different rural contexts herein under consideration.

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    Authors: Artini M.; Assante M.; Atzori C.; Baglioni M.; +25 Authors

    InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Candela L.; Castelli D.; Mangione D.;

    Open science is a disruptive phenomenon characterised by multiple dimensions encompassing the whole research workflow. The magnitude of the changes entailed by the open science paradigm on the research processes requires the research infrastructures to adapt for addressing the technological needs not only of researchers, but of all the stakeholders involved. This study analyses the open science aspects affecting the research workflow and proposes an open science workflow that is then used as a model for examining how the service offering of 11 of the major European research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) relates to the open science paradigm. In light of the different aspects that characterise open science, a comparative analysis of the 11 service offering is presented and the gaps highlighted.

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    Authors: Artini M.; Assante M.; Atzori C.; Baglioni M.; +25 Authors

    InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2022 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2022 InfraScience members contributed to the publishing of several papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Juliane Päßler; Maurice H. ter Beek; Ferruccio Damiani; Silvia Lizeth Tapia Tarifa; +1 Authors

    Self-adaptation is a crucial feature of autonomous systems that must cope with uncertainties in, e.g., their environment and their internal state. Self-adaptive systems are often modelled as two-layered systems with a managed subsystem handling the domain concerns and a managing subsystem implementing the adaptation logic. We consider a case study of a self-adaptive robotic system; more concretely, an autonomous underwater vehicle (AUV) used for pipeline inspection. In this paper, we model and analyse it with the feature-aware probabilistic model checker ProFeat. The functionalities of the AUV are modelled in a feature model, capturing the AUV's variability. This allows us to model the managed subsystem of the AUV as a family of systems, where each family member corresponds to a valid feature configuration of the AUV. The managing subsystem of the AUV is modelled as a control layer capable of dynamically switching between such valid feature configurations, depending both on environmental and internal conditions. We use this model to analyse probabilistic reward and safety properties for the AUV.

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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    https://doi.org/10.1007/978-3-...
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Authors: Papini O.;

    In two previous technical reports we described a tool that produces a so-called spaghetti plot, i.e. a plot that is able to capture the trends of the sea surface temperature (SST) in a chosen time interval and within a target area; and the formalization of spaghetti plots through the definition of two custom Python 3 classes. In this report we outline an algorithm that uses SST data to detect and classify mesoscale upwelling events. In particular, the algorithm (called Mesoscale Events Classifier, MEC) takes as input the SST data organized as a SpaghettiData dictionary and returns a map of the area of interest where the zones in which the algorithm detects an event are highlighted and labelled with an event type.

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    Authors: Assante M.; Candela L.; Cirillo R.; Dell'Amico A.; +6 Authors

    This deliverable D5.3 "Virtual Research Environment Operation Report years 3-4" is the revised and updated version of deliverable D5.2 "Virtual Research Environment Operation Report years 1-2". It describes the activities carried out during the DESIRA project within Work Package 5. Specifically, in Task 5.1 "Knowledge Infrastructure: the DESIRA Virtual Research Environment" and Task 5.2 "Integration of Services and Tools and Use Reporting". It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at the end of the project in the DESIRA infrastructure. Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products to be developed and delivered by the DESIRA project to support Project coordination, Living Labs activities and Rural Digitization Forums activities. The development of VREs is based on three main activities: (i) the development of software artefacts that realise a set of functions (including those needed for accessing specific datasets), (ii) the deployment of these artefacts in an operational infrastructure following the release procedures and tools, and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1, 2]. This report documents the last of the above three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the context of the DESIRA project. The DESIRA Infrastructure Gateway offers end-user access to 14 VREs. As of May 2023, 14 VREs were created and operated. Specifically, the DESIRA Project VRE (cf. Sec 3.1.1) was created before the project kick-off. These VREs have served the needs of more than 390 users and more than 10.200 user sessions. This required dealing with 185 tickets (121 related to the project management, 43 requests for tasks, support and enhancements; 7 requests for incidents and bugs; 14 requests for VRE creations).

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    Authors: Toli E.; Koltsida P.; Marinos-Kouris C.; Hardy C.; +2 Authors

    This report presents how to integrate critical values of the digitisation process and apply these values during the various phases of digital solutions development, testing, and adoption. It showcases this in a practical way, by presenting two proof-of-concept solutions delivered by DESIRA. The report presents thoroughly the DigiCroft virtual farm and the Chatbot technologies and displays their technical features, design perspectives and their wider social and economic impacts, perceived as system disruptors, aiming to juxtapose the technology design characteristics with integrated digitisation practices, as defined from DESIRA's standpoint.

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    Authors: Bacco F. M.; Ferrari A.; Berg M.; Schroth C.; +10 Authors

    This document provides DESIRA's third set of practice abstracts (PAs) which is a compilation of seven PAs. Those PAs are based on the experiences, lessons learned, project actions and reporting of the WP3 activities that aimed at the development of scenarios and showcasing of technologies building on the concept of digital game changers. Tasks 3.5 'Use Case development' and 3.6 'Showcase Technologies', are the main contributing project tasks that provided concrete results on which these seven PAs, cited in this report, are based. The first five PAs provide a concise description of five use cases that were developed during the second period of the DESIRA project. An array of conducted activities inside the boundaries of five preselected Living Labs, and with the participation of those LL's stakeholders, were planned so that WP3 could culminate in the development of five technology adoption use cases. The last two PAs of this report, supplement the five aforementioned use case PAs by showcasing two additional promising technology solutions that have the potential to contribute to sustainable digital transition pathways, as those are defined by the DESIRA's theoretical framework and as reflected by the examined agro-rural-forestry settings of this project. For a thorough and detailed analysis of the methodology, activities, and outcomes that contributed to the production of the use cases and showcase technology reports, it is recommended the reading of deliverables D3.3 'Use Cases Report' and D3.4 'Showcase Technology Report' which are the foundation documents on which this deliverable is based on.

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    Authors: Vannini G. L.; Coro G.;

    Atlas of agri-environmental spatial data developed in the context of the ITINERIS PNRR project. This is a cartographic collection of geospatial data with resolution lower than 50m for the Massaciuccoli Lake Basin.

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    Authors: Bacco F. M.; Ferrari A.; Mannari C.;

    In DESIRA, five Living Labs were selected to carry out use case workshops. The objective was to codesign a digital tool in each different context. To do so, the participants agreed on one or more goals to be reached. Building on both the focal question and the scenario question that each Living Lab has developed in previous activities, a use case statement has been co-developed to carry out use case workshops. The use case statement describes the goal(s) of the tool to be co-designed, the involved actors, and the needed ICT components. The used methodology is described in this report, as well as the outputs of the process. The methodology has been adapted to the concept of socio-cyber-physical system that DESIRA developed, opening discussions on impacts, drivers, and barriers as further step in the process, following the high-level design of the digital tool and of its main functionalities. Each Living Lab identified what the participants deemed as needed in their region in terms of a novel digital tool. The presence of various stakeholders in Living Labs has made it easier to consider a wide range of needs since the very beginning, allowing everyone to have a role when it comes to the use of the co-designed digital tool. Such a mechanism, not embedded in the typical use case methodology - which only clarifies the role of those considered as users by ICT designers - has been further strengthened in the workshops, therefore going beyond the traditional approach. In fact, by fostering discussions on impacts, drivers, and barriers, the proposed methodology has allowed the participants to reflect, early on in the process, on the potential impacts of the introduction of digital technologies. Last but not least, it is worth pointing out that the outputs of the use cases, summarised in this document, provide a valuable starting point for software companies willing to design and develop digital tools not only according to users' needs and desires but also tailored to the different rural contexts herein under consideration.

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    Authors: Artini M.; Assante M.; Atzori C.; Baglioni M.; +25 Authors

    InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.

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    Authors: Candela L.; Castelli D.; Mangione D.;

    Open science is a disruptive phenomenon characterised by multiple dimensions encompassing the whole research workflow. The magnitude of the changes entailed by the open science paradigm on the research processes requires the research infrastructures to adapt for addressing the technological needs not only of researchers, but of all the stakeholders involved. This study analyses the open science aspects affecting the research workflow and proposes an open science workflow that is then used as a model for examining how the service offering of 11 of the major European research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) relates to the open science paradigm. In light of the different aspects that characterise open science, a comparative analysis of the 11 service offering is presented and the gaps highlighted.

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    Report . 2022
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CNR ExploRA
      Report . 2022
      Data sources: CNR ExploRA
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      ISTI Open Portal
      Report . 2022
      Data sources: ISTI Open Portal
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Artini M.; Assante M.; Atzori C.; Baglioni M.; +25 Authors

    InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2022 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2022 InfraScience members contributed to the publishing of several papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CNR ExploRA
    Report . 2022
    Data sources: CNR ExploRA
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ISTI Open Portal
    Report . 2022
    Data sources: ISTI Open Portal
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CNR ExploRA
      Report . 2022
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ISTI Open Portal
      Report . 2022
      Data sources: ISTI Open Portal