ARIADNEPlus - VREs operation mid-term activity report
Assante M., Cirillo R., Dell'Amico A., Pagano P., Candela L., Frosini L., Lelii L., Mangiacrapa F., Panichi G., Sinibaldi F.
This deliverable D13.2 - "VREs Operation Mid-term Activity Report" describes the activities carried out during the first 24 months of the ARIADNEplus project within Work Package 13. Specifically, in Task 13.1 Infrastructure Operation (JRA2.1) and Task 13.3 VREs Operation (JRA2.3). It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at mid-term in the ARIADNEplus infrastructure.Source: Project report, ARIADNEplus, D13.2, 2021
Project(s): ARIADNEplus 
See at:
ISTI Repository 
| CNR ExploRA
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) 33 (2020). doi:10.1002/cpe.6087
DOI: 10.1002/cpe.6087
Project(s): AGINFRA PLUS
See at:
ISTI Repository | Concurrency and Computation Practice and Experience 
| Concurrency and Computation Practice and Experience | Concurrency and Computation Practice and Experience | Concurrency and Computation Practice and Experience | CNR ExploRA | Concurrency and Computation Practice and Experience
Blue Cloud - D4.2: Blue Cloud VRE Common Facilities (Release 1)
Assante M., Candela L., Pagano P., Dell'Amico A., Coro G., Cirillo R., 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
See at:
ISTI Repository | CNR ExploRA
SoBigData e- Infrastructure Common Facilities 1
Assante M., Bardi A., Fernandez E., Manzi A., Pagano P.
This deliverable reports the design principles and software architectures characterising the release and development of the SoBigData e-Infrastructure common facilities, namely the social mining computational engine, the online coding and workflow design frameworks, and the online science monitoring dashboard. This report is the first of two versions of the document, each of which describing the design associated with a specific version of the infrastructure to be made available at M12 (December 2020) and at the end of the third year (SoBigData e-Infrastructure common facilities 2, December 2022). Specifically, the deliverable focuses on the design principles and reference architectures included in the first release of the SoBigData e-Infrastructure common facilities at M12.
The deliverable consists of six sections. Section 1 briefly introduces the role of this deliverable for the development and delivery of the SoBigData e-Infrastructure common facilities. Section 2 describes the SoBigData e-infrastructure logical architecture contextualising the common facilities and how they relate with the rest. Section 3, section 4 and section 5 document the first release of the e-Infrastructure common facilities included in this report and available at M12, reporting the design principles and reference architectures of the released solutions. Specifically, section 3 describes the social mining computational engine, Section 4 presents the online coding and workflow design frameworks - which includes the RStudio and the Jupyter Notebooks via JupyterHub - and Section 5 reports the online science monitoring dashboard.
Finally, section 6 concludes the report illustrating the whole Release Management process and its components for continuous integration.Source: Project report, SoBigData, D9.4, 2020
Project(s): SoBigData-PlusPlus
See at:
ISTI Repository | CNR ExploRA
RISIS 2 - Opening of Open Data VRE
Assante M., Baglioni M., Bardi A., Mangiacrapa F., Pagano P.
This report is a short document accompanying the Deliverable "D4.2 Opening of Open Data VRE", which is of type: "Websites, patents filling, etc.". It describes the design of the software
components involved in the Open Data VRE, deployed to serve the current needs of the RISIS community.Source: Project report, RISIS 2, D4.2, 2020
Project(s): RISIS 2
See at:
ISTI Repository | CNR ExploRA
I-GENE - Virtual Research Environment (VRE)
Assante M., Pagano P.
This report documents the D4Science Virtual Research Environment released for the I-GENE Project. Two sections illustrate the activities performed and the characteristics of the I-GENE Virtual Research Environment. Section 2 is the introduction. Section 3, instead, describes the Infrastructure gateway, accessible via the URL https://i-gene.d4science.org/ expected to be the end-user entry point to the I-GENE services, and the I-GENE Project Virtual Research Environment (VRE) and its features, all of which are accessible via the above-described entry point. Section 4 describes the use of VRE for implementing the project scopes. The Science and Technology Institute (ISTI) of the CNR (National Research Council), a third party linked to UNIPI, is responsible for this activity.Source: Project report, I-GENE, D7.2 I, 2020
Project(s): I-GENE
See at:
CNR ExploRA
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
See at:
data.d4science.net | ISTI Repository | CNR ExploRA
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
See at:
data.d4science.net | ISTI Repository | CNR ExploRA
The gCube system: delivering virtual research environments as-a-service
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Frosini L., Lelii L., Mangiacrapa F., Marioli V., Pagano P., Panichi G., Perciante C., Sinibaldi F.
Important changes have characterised research and knowledge production in recent decades. These changes are associated with developments in information technologies and infrastructures. The processes characterising research and knowledge production are changing through the digitalization of science, the virtualisation of research communities and networks, the offering of underlying systems and services by infrastructures. This paper gives an overview of gCube, a software system promoting elastic and seamless access to research assets (data, services, computing) across the boundaries of institutions, disciplines and providers to favour collaboration-oriented research tasks. gCube's technology is primarily conceived to enable Hybrid Data Infrastructures facilitating the dynamic definition and operation of Virtual Research Environments. To this end, it offers a comprehensive set of data management commodities on various types of data and a rich array of "mediators" to interface well-established Infrastructures and Information Systems from various domains. Its effectiveness has been proved by operating the D4Science.org infrastructure and serving concrete, multidisciplinary, challenging, and large scale scenarios.Source: Future generation computer systems 95 (2019): 445–453. doi:10.1016/j.future.2018.10.035
DOI: 10.1016/j.future.2018.10.035
Project(s): AGINFRA PLUS , BlueBRIDGE , ENVRI PLUS , EOSCpilot
See at:
ISTI Repository | Future Generation Computer Systems | Future Generation Computer Systems | Future Generation Computer Systems | Future Generation Computer Systems | Future Generation Computer Systems | CNR ExploRA | Future Generation Computer Systems | www.sciencedirect.com
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): 555–563. doi:10.1016/j.future.2019.05.063
DOI: 10.1016/j.future.2019.05.063
Project(s): AGINFRA PLUS , BlueBRIDGE , ENVRI PLUS , EOSCpilot
See at:
ISTI Repository | Future Generation Computer Systems | Future Generation Computer Systems | Future Generation Computer Systems | Future Generation Computer Systems | Future Generation Computer Systems | CNR ExploRA | Future Generation Computer Systems
DESIRA - Deliverable 5.1 - Virtual Research Environment: specification report
Assante M, Cirillo R., Dell'Amico A., Frosini L., Pagano P.
The DESIRA Virtual Research Environment specification consists of a hardware layer and a service layer. The former is made available by the D4Science Infrastructure 1 [1, 2] and it is organized as a dynamic pool of virtual machines, supporting computation and storage. The operations and management of those resources is performed via a set of enabling technologies selected to ensure availability and reliability of the infrastructure while e guaranteeing reduction of costs of ownership and a set of supporting technologies selected to ensure secure monitoring, alerting and provisioning. The service layer, illustrated in Figure 1, consists of three service frameworks, which can be summarized as a follows:
o Enabling Framework: the enabling framework, framework , based on the gCube System [3], includes services required to support the operation of all services and the VREs supported by such services. As such it includes: a resource registry service, to which all e-infrastructure infrastructure resources (data sources, services, computational nodes, etc.) can be dynamically (de)registered and discovered by user and other services; Authentication and Authorization services, as well as Accounting Services, capable of both granting ing and tracking access and usage actions from users; and a VRE manager, capable of deploying in the collaborative framework VREs inclusive of a selected number of "applications", generally intended as sets of interacting services;
o Storage Framework: the storage framework includes services for efficient, advanced, and on on-demand management of digital data, encoded as: files in a distributed file system, collection of metadata records, and time series in spatial databases; such services are used by all other services in the architecture, exception made for the enabling framework;
o Collaborative framework : the collaborative framework includes all services deployed for the scientists and for each of them provides social networking services, user management services, shared workspace services. In addition, addition it comprises the part on the Web UI access to the Virtual Research Environment.Source: Project report, DESIRA, Deliverable D5.1, pp.1–19, 2019
See at:
data.d4science.net | CNR ExploRA
PARTHENOS - Deliverable 6.6 - PARTHENOS Cloud Infrastructure
Pagano P., Assante M., Frosini L., Manghi P., Bardi A., Sinibaldi F., Cirillo R., Panichi G.
"D6.6 PARTHENOS cloud infrastructure" is the revised and final version of "D6.1 PARTHENOS cloud infrastructure". This deliverable reports the PARTHENOS e-infrastructure architecture: the hardware and the services. Hardware is organized as a dynamic cloud of virtual machines, supporting computation and storage, while the services are organized into e-infrastructure middleware, storage, and end user services.Source: Project report, PARTHENOS, Deliverable D6.6, pp.1–63, 2019
Project(s): PARTHENOS
See at:
data.d4science.net | CNR ExploRA
SoBigData - D10.9 - Resource adaptation to register to the e-infrastructure 2
Assante M., Candela L., Manghi P., Pagano P.
Deliverable D10.9 "Resource adaptation to register to the e-infrastructure 2" is the revised version of the D10.8 deliverable "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 D10.8 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 D10.9, pp.1–23, 2018
Project(s): SoBigData
See at:
data.d4science.net | ISTI Repository | CNR ExploRA
BlueBRIDGE - BlueBRIDGE VRE commons facilities: revised version
Assante M., Candela L., Coro G., Koltsida P., Laskaris N., Marketakis Y., Sinibaldi F., Pagano P.
Deliverable D9.2 - "BlueBRIDGE VRE Commons Facilities: Revised Version" is the revised version of the D9.1 deliverable, intended to report the release of the BlueBRIDGE facilities for Data Access, Data Discovery, Data Storage, Data Analytics and Data Publishing. It is conceived to include the latest developments and releases that took place between the 2 versions of the reports. The deliverable is of type "Other" and the following document is intended to provide its readers with an easy-to-use description of the actual components, services and systems contributing to form the BlueBRIDGE VRE Commons Facilities. This document is structured as follows: a description for each facility is available, in conjunction with links to the project's wiki, providing more detailed descriptions and additional information for each component. This revised version of the document aims at providing a complete picture of the available facilities for Accessing, Discovering, Storing Data, Analysing and Publishing Data developed through the project's lifetime.
The deliverable is divided in two main sections. The first one follows the structure of Work Package 9; specifically, it documents the various releases and versions of the facilities available for Accessing, Discovering and Storing Data (T9.1), for Analysing Data (T9.2) and for Publishing Data (T9.3).
The second section comprises facilities for managing and using VREs that span across all the three WP9 tasks. Specifically, it includes dedicated parts documenting the various releases and versions of services for defining, creating and deploying VREs (VRE Management facilities) together with a set of applications allowing to use the VRE through a thin client (VRE Enabling facilities).
The deliverable provides, for each facility, a description, the documentation for developers and system administrators, how-to guides and usage instructions for different use cases and links to open source code and binaries. Further details and the complete documentation for the facilities are available on the gCube wiki at https://wiki.gcube-system.org/gcube/About_gCube.
The intended readers of this deliverable are (a) the community in the large willing to be informed on the solutions BlueBRIDGE offers for VRE management, Data Access, Discovery, Storage, Analytics and Publishing, and (b) the gCube developer community to know how to integrate, use and build on top of the facilities described by the document.Source: Project report, BlueBRIDGE, Deliverable D9.2, 2018
Project(s): BlueBRIDGE
See at:
ISTI Repository | CNR ExploRA
BlueBRIDGE - BlueBRIDGE VREs operation activity: final report
Assante M., Candela L., Cirillo R., Dell'Amico A., Pagano P.
Virtual Research Environments and Virtual Laboratories are among the key products the BlueBRIDGE project is called to develop and to deliver to serve its target communities and application scenarios. The deployment and operation of a Virtual Research Environment is a task that involves the reuse of existing technologies as well as the development of new technologies aiming at offering new facilities. The development of the technology, both the generic as well as that which is oriented to serve the specific needs of a given community/target scenario, is captured by other deliverables. This report describes the activities performed to provide the BlueBRIDGE community with the set of Virtual Research Environments (VREs) and Virtual Laboratories (VLabs) hosted by the BlueBRIDGE portal during the entire duration of the project. A total of 66 VREs / VLabs have been deployed and operated, overall serving more than 3000 users across 32 countries and 124 different organizations. Such VREs / VLabs include "private" ones (66% circa), i.e. environments whose membership is by invitation only, "restricted" ones (15% circa), i.e. environments that users can request to join yet the requests have to be explicitly approved by the managers, and "open" ones (18% circa), i.e. environments that any user can request to join and no approval is needed. The 45% circa of the served users is exploiting "open" environments, the 34% circa is exploiting "private" environments, and the 19% circa is exploiting "restricted" environments. During the project, more than 980 requests for support, incident or bug have been resolved (441 requests for support and 546 requests for incidents and bugs).Source: Project report, BlueBRIDGE, Deliverable D4.5, 2018
Project(s): BlueBRIDGE
See at:
ISTI Repository | CNR ExploRA
Virtual research environments as-a-Service by gCube
Assante M., Candela L., Castelli D., Coro G., Lelii L., Pagano P.
Science is in continuous evolution and so are the methodologies and approaches scientists tend to apply by calling for appropriate supporting environments. This is in part due to the limitations of the existing practices and in part due to the new possibilities offered by technology advances. gCube is a software system promoting elastic and seamless access to research assets (data, services, computing) across the boundaries of institutions, disciplines and providers to favour collaborative- oriented research tasks. Its primary goal is to enable Hybrid Data Infrastructures facilitating the dynamic definition and operation of Virtual Research Environments. To this end, it offers a comprehensive set of data management commodities on various types of data and a rich array of "mediators" to interface well-established Infrastructures and Information Systems from various domains. Its effectiveness has been proved by operating the D4Science.org infrastructure and serving concrete, multidisciplinary, challenging, and large scale scenarios. This paper gives an overview of the gCube system.Source: 8th International Workshop on Science Gateways, pp. 2–6, Rome, Italy, 8-10 June 2016
Project(s): BlueBRIDGE
See at:
ceur-ws.org | ISTI Repository | CNR ExploRA
PARTHENOS - D6.3 Report on the implementation of the Joint Resource Registry (interim)
Frosini L., Assante M., Dell'Amico A., Lelii L., Candela L., Pagano P.
The D6.3 Report on the implementation of the Joint Resource Registry documents the interim implementation of the Joint Resource Registry (JRR). It complements the D5.2 Report on the design of the Joint Resource Registry deliverable by providing details on how to interact with and exploit the functionalities it provides.
The JRR hosts the PARTHENOS entities represented according to the PARTHENOS Entities Model defined in WP5. As such, it represents an information system for the PARTHENOS community and the PARTHENOS universe of tools and services designed for and released in the PARTHENOS infrastructure.
This deliverable presents, in Section 2, the principles and guidelines that govern the implementation of the JRR which has been designed to support the persistence of the PARTHENOS Entities. The JRR is implemented as a tailored information system capable of satisfying the evolution of the model itself, the main features of which are described in section 3 since the facet based resource model is extensively referred to throughout this report. Entities, Resources, Facets and Relations are described in detail. Section 4 describes the set of technical components comprising the JRR and APIs, covering the architecture which includes the Resource Registry Service, Context Client, Schema Client, Publisher and Client. Section 5 provides information regarding how to interact with the Resource Registry Service by exploiting the Context and Schema Port Types. The REST APIs are also presented for each functionality. Section 6 covers the backend database, OrientDB, a Multi-Model Open Source NoSQL DBMS that brings together the power of graphs and the flexibility of documents into one scalable high-performance operational database. The final section provides information on the Studio GUI used by the Content Administrator for searching between the created types and inspection of their schema.Source: Project report, PARTHENOS, Deliverable D6.3, pp.1–53, 2017
Project(s): PARTHENOS
See at:
goo.gl | CNR ExploRA
Enacting Open Science by gCube
Assante M., Candela L., Castelli D., Coro G., Mangiacrapa F., Pagano P., Perciante C.
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 gCube offering to enact Open Science-friendly Virtual Research Environments. In particular, the paper describes how a complete solution suitable for realising Open Science practices is achieved by a social networking collaborative environment in conjunction with a shared workspace, an open data analytics platform, and a catalogue enabling FAIR principles on every research artefact.Source: IWSG 2017 International Workshop on Science Gateways, Poznan, Poland, 19/06/2017-21/06/2017
Project(s): AGINFRA PLUS
See at:
ceur-ws.org | CNR ExploRA
Are scientific data repositories coping with research data publishing?
Assante M., Candela L., Castelli D., Tani A.
Research data publishing is intended as the release of research data to make it possible for practitioners to (re)use them according to "open science" dynamics. There are three main actors called to deal with research data publishing practices: researchers, publishers, and data repositories. This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.Source: Data science journal 15 (2016). doi:10.5334/dsj-2016-006
DOI: 10.5334/dsj-2016-006
Project(s): AGINFRA PLUS , BlueBRIDGE , IMARINE
See at:
Data Science Journal | Data Science Journal | Data Science Journal | Data Science Journal | Data Science Journal | ISTI Repository | CNR ExploRA | Data Science Journal
gCube Social Networking Cloud: News Feed [Release 2.0.0 , 22 July 2016]
Assante M., Perciante C.
The gCube social networking facilities manifest in a number of applications made available through a thin Web browser are conceptually close to the common facilities promoted by social networks - e.g., posting news, commenting on posted news - yet adapted to deal with large scale collaboration and cooperation on comprehensive scientific prod- ucts, data sets, theories and tools. The News Feed lists users' and applications' updates and make these available to every user according to his/her preferences. Additionally, it enables users to comment, subscribe or reshare these updates, and - in case of application posts - to make users access the subject of the post directly in the application that created it, e.g., to see a data set or an application. Moreover it allows to trigger topic search when clicking on a post containing hashtags (topics).Project(s): IMARINE
See at: CNR ExploRA | www.gcube-system.org