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2021 Article Open Access OPEN

ReLock: a resilient two-phase locking RESTful transaction model
Frosini L., Pagano P., Candela L., Simi M., Bernardeschi C.
Service composition and supporting transactions across composed services are among the major challenges characterizing service-oriented computing. REpresentational State Transfer (REST) is one of the approaches used for implementing Web services that is gaining momentum thanks to its features making it suitable for cloud computing and microservices-based contexts. This paper introduces ReLock, a resilient RESTful transaction model introducing general purpose transactions on RESTful services by a layered approach and a two-phase locking mechanism not requesting any change to the RESTful services involved in a transaction.Source: Service-oriented computing and applications (Internet) (2021). doi:10.1007/s11761-020-00311-z
DOI: 10.1007/s11761-020-00311-z
Project(s): Blue Cloud via OpenAIRE

See at: ISTI Repository Open Access | link.springer.com Restricted | CNR ExploRA Restricted


2020 Article Open Access OPEN

Measuring success for a future vision: Defining impact in science gateways/virtual research environments
Calyam P., Wilkins-diehr N., Miller M., Brookes E. H., Arora R., Chourasia A., Jennewein D. M., Nandigam V., Lamar M. D., Cleveland S. B., Newman G., Wang S., Zaslavsky I., Cianfrocco M. A., Ellett K., Tarboton D., Jeffery K. G., Zhao Z., González-aranda J., Perri M. J., Tucker G., Candela L., Kiss T., Gesing S.
Scholars worldwide leverage science gateways/virtual research environments (VREs) for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gateway/VRE to its constituent community is critical in obtaining the financial and human resources necessary to sustain operations and increase adoption in the user community. In this article, we feature a variety of exemplar science gateways/VREs and detail how they define impact in terms of, for example, their purpose, operation principles, and size of user base. Further, the exemplars recognize that their science gateways/VREs will continuously evolve with technological advancements and standards in cloud computing platforms, web service architectures, data management tools and cybersecurity. Correspondingly, we present a number of technology advances that could be incorporated in next-generation science gateways/VREs to enhance their scope and scale of their operations for greater success/impact. The exemplars are selected from owners of science gateways in the Science Gateways Community Institute (SGCI) clientele in the United States, and from the owners of VREs in the International Virtual Research Environment Interest Group (VRE-IG) of the Research Data Alliance. Thus, community-driven best practices and technology advances are compiled from diverse expert groups with an international perspective to envisage futuristic science gateway/VRE innovations.Source: Concurrency and computation (2020). doi:10.1002/cpe.6099
DOI: 10.1002/cpe.6099

See at: ISTI Repository Open Access | onlinelibrary.wiley.com Restricted | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | CNR ExploRA Restricted


2020 Conference object Open Access OPEN

RepOSGate: Open Science Gateways for Institutional Repositories
Artini M., Candela L., Manghi P., Giannini S.
Most repository platforms used to operate Institutional Repositories fail at delivering a complete set of functionalities required by institutions and researchers to fully comply with Open Science publishing practices. This paper presents RepOSGate, a software that implements an overlay application capable of collecting metadata records from a repository and transparently deliver search, statistics, upload of Open Access versions functionalities over an enhanced version of the metadata collection, which include: links to datasets, Open Access versions of the artifacts, links to projects from several funders, subjects, citations, etc. The paper will also present two instantiations of RepOSGate, used to enhance the publication metadata collections of two CNR institutes: Institute of Information Science and Technologies (ISTI) and Institute of Marine Sciences (ISMAR).Source: ICRDL 2020 - 16th Italian Research Conference on Digital Libraries, pp. 151–162, Bari, Italy, 30-31 Juanuary 2020
DOI: 10.1007/978-3-030-39905-4_15
DOI: 10.5281/zenodo.3819830
DOI: 10.5281/zenodo.3819829
Project(s): OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | ZENODO Open Access | Unknown Repository Open Access | Unknown Repository Restricted | Unknown Repository Restricted | link.springer.com Restricted | Unknown Repository Restricted | CNR ExploRA Restricted


2020 Conference object Open Access OPEN

Using virtual research environments in agro-environmental research
Lokers Rob M, Knapen M. J. R., Candela L., Hoek S., Meijninger W.
Tackling some of the grand global challenges, agro-environmental research has turned more and more into an international venture, where distributed research teams work together to solve complex research questions. Moreover, the interdisciplinary character of these challenges requires that a large diversity of different data sources and information is combined in new, innovative ways. There is a pressing need to support researchers with environments that allow them to efficiently work together and co-develop research. As research is often data-intensive, and big data becomes a common part of a lot of research, such environments should also offer the resources, tools and workflows that allow to process data at scale if needed. Virtual research environments (VRE), which combine working in the Cloud, with collaborative functions and state of the art data science tools, can be a potential solution. In the H2020 AGINFRA+ project, the usability of the VREs has been explored for use cases around agro-climatic modelling. The implemented pilot application for crop growth modelling has successfully shown that VREs can support distributed research teams in co-development, helps them to adopt open science and that the VRE's cloud computing facilities allow large scale modelling applications.Source: ISESS 2020 - 13th International Symposium on Environmental Software Systems, Wageningen, The Netherlands, 5-7 February 2020
DOI: 10.1007/978-3-030-39815-6_11
Project(s): AGINFRA PLUS via OpenAIRE

See at: link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted


2020 Conference object Open Access OPEN

AGINFRA PLUS: running crop simulations on the D4Science distributed e-Infrastructure
Knapen M. J. Rob, Lokers Rob M., Candela L., Janssen S.
Virtual Research Environments (VREs) bridge the gap between the compute and storage infrastructure becoming available as the 'cloud', and the needs of researchers for tools supporting open science and analytics on ever larger datasets. In the AGINFRA PLUS project such a VRE, based on the D4Science platform, was examined to improve and test its capabilities for running large numbers of crop simulations at field level, based on the WOFOST-WISS model and Dutch input datasets from the AgroDataCube. Using the gCube DataMiner component of the VRE, and based on the Web Processing Service standard, a system has been implemented that can run such workloads successfully on an available cluster, and with good performance, providing summarized results to agronomists for further analysis. The methods used and the resulting implementation are briefly described in this paper. Overall the approach seems viable and opening the door to many follow-up implementation opportunities and further research. Some of them are indicated in more detail in the conclusions.Source: ISESS 2020 - 13th International Symposium on Environmental Software Systems, Wageningen, The Netherlands, 5-7 February 2020
DOI: 10.1007/978-3-030-39815-6_8
Project(s): AGINFRA PLUS via OpenAIRE

See at: link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted


2020 Part of book or chapter of book Open Access OPEN

Virtual Research Environments for Environmental and Earth Sciences: Approaches and Experiences
Jeffery K., Candela L., Glaves H.
Virtual Research Environments (VREs) are playing an increasingly important role in data centric sciences. Also, the concept is known as Science Gateways in North America where generally the functionality is portal plus workflow deployment and Virtual Laboratories in Australia where the end-user can compose a complete system from the user interface to use of e-Infrastructures by a 'pick and mix' process from the offered assets. The key aspect is to provide an environment wherein the end-user - researcher, policymaker, commercial enterprise or citizen scientist - has available with an integrating interface all the assets needed to achieve their objectives. These aspects are explored through different approaches related to ENVRI.Source: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences. A Reference Model Guided Approach for Common Challenges., edited by Zhao Z.; Hellström M., pp. 272–289, 2020
DOI: 10.1007/978-3-030-52829-4_15
Project(s): ENVRI PLUS via OpenAIRE

See at: link.springer.com Open Access | Unknown Repository Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted


2020 Part of book or chapter of book Open Access OPEN

Data Processing and Analytics for Data-Centric Sciences
Candela L., Coro G., Lelii L., Panichi G., Pagano P.
The development of data processing and analytics tools is heavily driven by applications, which results in a great variety of software solutions, which often address specific needs. It is difficult to imagine a single solution that is universally suitable for all (or even most) application scenarios and contexts. This chapter describes the data analytics framework that has been designed and developed in the ENVRIplus project to be (a) suitable for serving the needs of researchers in several domains including environmental sciences, (b) open and extensible both with respect to the algorithms and methods it enables and the computing platforms it relies on to execute those algorithms and methods, and (c) open-science-friendly, i.e. it is capable of incorporating every algorithm and method integrated into the data processing framework as well as any computation resulting from the exploitation of integrated algorithms into a "research object" catering for citation, reproducibility, repeatability and provenance.Source: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences. A Reference Model Guided Approach for Common Challenges., edited by Zhao Z.; Hellström M., pp. 176–191, 2020
DOI: 10.1007/978-3-030-52829-4_10
Project(s): ENVRI PLUS via OpenAIRE

See at: link.springer.com Open Access | Unknown Repository Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted


2020 Part of book or chapter of book Open Access OPEN

Case Study: ENVRI Science Demonstrators with D4Science
Candela L., Stocker M., Häggström I., Enell C. F., Vitale D., Papale D., Grenier B., Chen Y., Obst M.
Whenever a community of practice starts developing an IT solution for its use case(s) it has to face the issue of carefully selecting "the platform" to use. Such a platform should match the requirements and the overall settings resulting from the specific application context (including legacy technologies and solutions to be integrated and reused, costs of adoption and operation, easiness in acquiring skills and competencies). There is no one-size-fits-all solution that is suitable for all application context, and this is particularly true for scientific communities and their cases because of the wide heterogeneity characterising them. However, there is a large consensus that solutions from scratch are inefficient and services that facilitate the development and maintenance of scientific community-specific solutions do exist. This chapter describes how a set of diverse communities of practice efficiently developed their science demonstrators (on analysing and producing user-defined atmosphere data products, greenhouse gases fluxes, particle formation, mosquito diseases) by leveraging the services offered by the D4Science infrastructure. It shows that the D4Science design decisions aiming at streamlining implementations are effective. The chapter discusses the added value injected in the science demonstrators and resulting from the reuse of D4Science services, especially regarding Open Science practices and overall quality of service.Source: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences. A Reference Model Guided Approach for Common Challenges., edited by Zhao Z.; Hellström M., pp. 307–323, 2020
DOI: 10.1007/978-3-030-52829-4_17
Project(s): ENVRI PLUS via OpenAIRE

See at: link.springer.com Open Access | Unknown Repository Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted


2020 Article Open Access OPEN

Global Food-source Identifier (GFI): collaborative virtual research environment and shared data catalogue for the foodborne outbreak investigation international community
Ribeiro Duarte A. S, Nielsen C. L., Candela L, Valentin L., Aarestrup F. M., Vigre H.
The source of a foodborne disease outbreak (FBO) is often difficult to identify, especially in the early phase where interventions would be most efficient. In addition, data on FBOs are mostly scattered in different formats either in national databases and reports or within pathogen-specific or regional reporting networks, both of which are often only accessible to a selected number of individuals. Here, we developed an international, open, shared and searchable data catalogue of past FBOs - the Global Food-source Identifier (GFI). GFI was developed with two objectives: a) to create a collaborative online community of FBO investigators, encouraging the international sharing of data in a harmonized, detailed and comparable manner and b) to support foodborne outbreak investigation worldwide by providing access to detailed records of past outbreaks, which can convey valuable insight into potential 'risk foods' of a detected pathogen. GFI is hosted within a Virtual Research Environment (VRE), which offers additional features to facilitate the collaboration between the outbreak investigators. These features allow document exchange, communication and data visualization and analysis between the VRE members. Based on scientific literature on foodborne outbreaks and discussions within a working group, we selected a total of 46 attributes characterising the outbreak records to be included in the catalogue, aggregated under the four overarching categories causative agent, epidata, food source and report details. Detailed descriptions of the attributes in the catalogue and instructions for harmonized data reporting are available on a wiki page in the VRE. At the time of writing and public launch of GFI, the data catalogue was populated with records of 102 FBOs occurred in Denmark over a period of 12 years (2005-2016) and covering the most frequent pathogens and a broad range of typing methods. The VRE features that enable data analysis, document sharing and communication between members were applied for the graphical representation of the records available in GFI, and for the sharing of results and script files within the VRE. The descriptive analysis included the relationship between the most frequent causative agents and outbreak food sources. Such results can support a risk-based food sampling strategy in the very beginning of a foodborne outbreak investigation. The Global Food-source Identifier is a data catalogue specifically designed to host an international collection of FBO records reported in a detailed and harmonized manner. It is implemented in a virtual research environment that offers key features to facilitate and enhance the global collaboration and data sharing among FBO investigators. Once in active use by the international food safety community, we envisage that GFI will contribute to the success of FBO investigations worldwide.Source: Food control (2020). doi:10.1016/j.foodcont.2020.107623
DOI: 10.1016/j.foodcont.2020.107623
Project(s): AGINFRA PLUS via OpenAIRE, COMPARE:Collaborative Management Platform for detection and Analyses of (Re-) emerging and foodborne outbreaks in Europe

See at: Food Control Open Access | ISTI Repository Open Access | Online Research Database In Technology Open Access | CNR ExploRA Open Access | www.sciencedirect.com Open Access | Food Control Restricted | Food Control Restricted | Food Control Restricted | PURE Aarhus University Restricted | Food Control Restricted


2020 Article Open Access OPEN

Understanding and managing ocean sustainability: the Blue-Cloud project
Candela L., Pasquale P.
The Blue-Cloud flagship project of the Directorate-General (DG) for Research and Innovation Unit of the European Commission is establishing a thematic marine cloud serving the blue economy, marine environment and marine knowledge agendas and the European Open Science Cloud. The project links the horizontal e-infrastructures supported by DG CONNECT and DG GROW, long-term marine data initiatives supported by DG MARE, research infrastructures supported by DG for Research and Innovation and other recently funded thematic clouds.Source: ERCIM news 123 (2020): 11–12.
Project(s): Blue Cloud via OpenAIRE

See at: ercim-news.ercim.eu Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2020 Article Open Access OPEN

Realizing virtual research environments for the agri-food community: the AGINFRA PLUS experience
Assante M., Boizet A., Candela L., Castelli D., Cirillo R., Coro G., Fernández E., Filter M., Frosini L., Georgiev T., Kakaletris G., Katsivelis P., Knapen R., Lelii L., Lokers R. M., Mangiacrapa F., Manouselis N., Pagano P., Panichi G., Penev L., Sinibaldi F.
The enhancements in IT solutions and the open science movement are injecting changes in the practices dealing with data collection, collation, processing, analytics, and publishing in all the domains, including agri-food. However, in implementing these changes one of the major issues faced by the agri-food researchers is the fragmentation of the "assets" to be exploited when performing research tasks, for example, data of interest are heterogeneous and scattered across several repositories, the tools modelers rely on are diverse and often make use of limited computing capacity, the publishing practices are various and rarely aim at making available the "whole story" including datasets, processes, and results. This paper presents the AGINFRA PLUS endeavor to overcome these limitations by providing researchers in three designated communities with Virtual Research Environments facilitating the use of the "assets" of interest and promote collaboration.Source: Concurrency and computation (Online) (2020). doi:10.1002/cpe.6087
DOI: 10.1002/cpe.6087
Project(s): AGINFRA PLUS via OpenAIRE

See at: ISTI Repository Open Access | onlinelibrary.wiley.com Restricted | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | CNR ExploRA Restricted


2020 Report Open Access OPEN

EOSC Pillar - D5.1: FAIR Research Data Management tool set
Cazenave N., Candela L., Berberi L., Van Wezel J., Hashibon A., Le Franc Y.
This document is accompanying the delivery of the bundle of service instance(s) that are the output of T5.1 and T5.2 activities. It provides a short summary of the work and the list of services and how to access them. The tool-set aims at offering solutions for Research Data Management promoting the implementation of FAIR principles and practices. This tool-set is updated every 6 months after the initial release. A major release is planned in June 2021 (PM24).Source: Project Report, EOSC Pillar, D5.1, 2020
DOI: 10.5281/zenodo.4283400
Project(s): EOSC-Pillar via OpenAIRE

See at: DOI Resolver Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2020 Report Open Access OPEN

Blue Cloud - D4.2: Blue Cloud VRE Common Facilities (Release 1)
Assante M., Candela L., Pagano P., Dell'Amico A., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Panichi G., Sinibaldi F.
The Blue-Cloud project plans to pilot a cyber platform bringing together and providing access to multidisciplinary data from observations and models, analytical tools, and computing facilities essential to support research to understand better and manage the many aspects of ocean sustainability. To achieve this goal, Blue-Cloud is developing, deploying, and operating the Blue-Cloud platform whose architecture consists of two families of components: (a) the Blue Cloud Data Discovery and Access service component to serve federated discovery and access to 'blue data' infrastructures; and (b) the Blue Cloud Virtual Research Environment (VRE) component to provide a Blue Cloud VRE as a federation of computing platforms and analytical services. This deliverable presents the Blue Cloud Virtual Research Environment constituents by focusing on both new services and revised existing services that have been developed in the reporting period to serve the needs of the Blue Cloud community. In particular, this deliverable describes a total of 11 services and components. These services and components contribute functionalities to the Blue Cloud VRE Enabling Framework (Identity and Access Management, VRE Management), Collaborative framework (Workspace and Social Networking), Analytics Framework (Software and Algorithm Importer, Smart Executor), Publishing Framework (Catalogue Service) and improved support for RStudio, JupyterHub, ShinyProxy, and Docker Applications. The services are described below by reporting their design principles, architectures, and main features. The deliverable also describes the procedures and approaches governing services and components released by highlighting how Gitea (as Git hosting service), Jenkins (as automation server), and Maven (as project management and comprehension tool) are used to guarantee continuous integration processes. Services and components discussed in this deliverable contribute to 11 gCube open-source software system releases (from gCube 4.16 up to gCube 4.25.1) and are in the pipeline for the next ones. They have been used to develop and operate the Virtual Laboratories of the Blue Cloud gateway https://blue-cloud.d4science.org and its underlying infrastructure. At the time of this deliverable (November 2020), the gateway hosts a total of 8 VREs and VLabs, including five specifically conceived to support the co-development of some of the Blue-Cloud demonstrators (namely, the Aquaculture Atlas Generation for Demonstrator #5, the Blue-Cloud Lab for several demonstrators, the GRSF pre for Demonstrator #4, the Marine Environmental Indicators for Demonstrator #3, the Zoo-Phytoplankton EOV for Demonstrator #1). This gateway and its tools serve more than 400 users that (since January 2020) performed a total of more than 5000 working sessions, more than 1700 accesses to the Workspace, and more than 750 analytics tasks. These exploitation and uptake indicators are likely to grow in the coming months thanks to data updates and continued use, further development of existing VLabs, and finally, the creation of new ones.Source: Project Report, Blue Cloud, D4.2, 2020
Project(s): Blue Cloud via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Report Open Access OPEN

SoBigData - D10.10 - Resource adaptation to register to the e-infrastructure 3
Assante M., Candela L., Manghi P., Pagano P.
Deliverable D10.10 "Resource adaptation to register to the e-infrastructure 3" is the revised version of the Deliverable D10.9 "Resource adaptation to register to the e-infrastructure 2" and Deliverable D10.8 "Resource adaptation to register to the e-infrastructure 1" intended to report the experiences of partners from different infrastructures at integrating their services, methods, and applications as SoBigData resources. The first section describes the general integration patterns, while the second section reports the experiences from the individual partners, revealing the effort required, in terms of time and technical complexity, and earned benefits. This revised version of the document covers the whole period of the project, including the up to date information of the D10.9 deliverable and the new experiences of partners at integrating their services, methods, and applications as SoBigData resources, developed through the project's lifetime.Source: Project report, SoBigData, Deliverable D10.10, pp.1–26, 2019
Project(s): SoBigData via OpenAIRE

See at: data.d4science.net Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2019 Report Open Access OPEN

SoBigData - D10.7 - SoBigData e-infrastructure and VRE release
Assante M., Candela L., Cirillo R., Frosini L., Lelii L., Mangiacrapa F., Pagano P.
This deliverable describes the software that has been deployed to serve the needs of the SoBigData community, by delivering the platform and the VREs planned in "D10.4 SoBigData e-Infrastructure release plan 3". In particular, it reports on how such software has been exploited to make available the envisaged components, i.e. the SoBigData portal (and the underlying Virtual Organisation), the SoBigData Catalogue and the SoBigData Virtual Research Environments, together with the list and pointers to the software packages produced by the project and implementing such components, whose operation today constitutes the SoBigData e-infrastructure accessible from http://sobigdata.d4science.org.Source: Project report, SoBigData, Deliverable D10.7, pp.1–28, 2019
Project(s): SoBigData via OpenAIRE

See at: data.d4science.net Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2019 Book Open Access OPEN

Digital Libraries: Supporting Open Science
Manghi P., Candela L., Silvello G.
This book constitutes the thoroughly refereed proceedings of the 15th Italian Research Conference on Digital Libraries, IRCDL 2019, held in Pisa, Italy, in January/February 2019. The 22 full papers and 5 short papers presented were carefully selected from 42 submissions. The papers are organized in topical sections on information retrieval, digital libraries and archives, information integration, open science, and data mining.DOI: 10.1007/978-3-030-11226-4
Project(s): OpenAIRE-Advance via OpenAIRE

See at: link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2019 Part of book or chapter of book Open Access OPEN

Methods and tools for supporting the integration of stocks and fisheries
Tzitzikas Y., Marketakis Y., Minadakis N., Mountantonakis M., Candela L., Mangiacrapa F., Pagano P., Perciante C., Castelli D., Taconet M., Gentile A., Gorelli G.
The collation of information for the monitoring of fish stocks and fisheries is a difficult and time-consuming task, as the information is scattered across different databases and is modelled using different formats and semantics. Our purpose is to offer a unified view of the existing stocks and fisheries information harvested from three different database sources (FIRMS, RAM and FishSource), by relying on innovative data integration and manipulation facilities. In this paper, we describe the building blocks in terms of methods and software components that are necessary for integrating stocks and fisheries data from heterogeneous data sources.Source: Information and Communication Technologies in Modern Agricultural Development, edited by Salampasis M., Bournaris T., pp. 20–34, 2019
DOI: 10.1007/978-3-030-12998-9_2
Project(s): BlueBRIDGE via OpenAIRE

See at: link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Unknown Repository Restricted | Unknown Repository Restricted | Unknown Repository Restricted


2019 Article Open Access OPEN

Enacting open science by D4Science
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Sinibaldi F.
The open science movement is promising to revolutionise the way science is conducted with the goal to make it more fair, solid and democratic. This revolution is destined to remain just a wish if it is not supported by changes in culture and practices as well as in enabling technologies. This paper describes the D4Science offerings to enact open science-friendly Virtual Research Environments. In particular, the paper describes how complete solutions suitable for realising open science practices can be achieved by integrating a social networking collaborative environment with a shared workspace, an open data analytics platform, and a catalogue enabling to effectively find, access and reuse every research artefact.Source: Future generation computer systems (2019). doi:10.1016/j.future.2019.05.063
DOI: 10.1016/j.future.2019.05.063
Project(s): AGINFRA PLUS via OpenAIRE, BlueBRIDGE via OpenAIRE, ENVRI PLUS via OpenAIRE, EOSCpilot via OpenAIRE

See at: DOI Resolver Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted


2019 Report Open Access OPEN

Final EOSC service architecture
Candela L, Castelli D., Zoppi F.
This deliverable is the second and final release of the EOSC Service Architecture. It sets the foundations characterising the EOSC System:(i) Its functionalities are provisioned as-a-Service; (ii) It is a highly distributed, evolving and heterogeneous hybrid cloud; (iii)Its operation and development is regulated by a set of Rules of Participation; (iv) It is modelled as an open and evolving System of Systems (SoS) where the component systems providing services include existing and emerging Research Infrastructures (including e-Infrastructures) and other types of Service Providers; (v) EOSC services provision is based on an open and evolving set of EOSC Nodes spread across several organisations and regions; (vi) EOSC Services should promote and support FAIRness. The deliverable identifies 47 classes of services that can be considered at this stage of development as the "Minimal Viable Product" able to match the EOSC overall goal. Such services include cross-cutting services together with services specifically envisaged to serve researchers, research administrators, third-party service providers as well as EOSC managers, service providers and service suppliers. This deliverable briefly highlights major contextual aspects already introduced in D5.1 and then describes the identified classes of services. The deliverable also discusses aspects related to "how" the system can/should be developed. The notions of "federation" and "interoperability" related to the building of this EOSC System are addressed highlighting the importance of dealing with these two concepts per-single service rather than from the perspective of EOSC as a whole.Source: Project report, EOSCpilot, Deliverable D5.4, 2019
DOI: 10.5281/zenodo.3258797
DOI: 10.5281/zenodo.3258798
Project(s): EOSCpilot via OpenAIRE

See at: DOI Resolver Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Zenodo Open Access


2019 Report Open Access OPEN

ISTI Young Researcher Award "Matteo Dellepiane" - Edition 2019
Barsocchi P., Candela L., Crivello A., Esuli A., Ferrari A., Girardi M., Guidotti R., Lonetti F., Malomo L., Moroni D., Nardini F. M., Pappalardo L., Rinzivillo S., Rossetti G., Robol L.
The ISTI Young Researcher Award (YRA) selects yearly the best young staff members working at Institute of Information Science and Technologies (ISTI). This award focuses on quality and quantity of the scientific production. In particular, the award is granted to the best young staff members (less than 35 years old) by assessing their scientific production in the year preceding the award. This report documents the selection procedure and the results of the 2019 YRA edition. From the 2019 edition on the award is named as "Matteo Dellepiane", being dedicated to a bright ISTI researcher who prematurely left us and who contributed a lot to the YRA initiative from its early start.Source: ISTI Technical reports, 2019

See at: ISTI Repository Open Access | CNR ExploRA Open Access