Developing Virtual Research Environments for Interdisciplinary Communities

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Developing Virtual Research Environments for Interdisciplinary Communities
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There is significant potential for growth in utilizing virtual research environments (VRE) to empower researchers with tailored digital tools and services. VREs should integrate resources, support data interoperability, enable data citation and sharing, and promote trust. This initiative aims to build capacity in interdisciplinary research communities by developing VREs that abstract from e-infrastructures and cater to specific research needs. Proposals should focus on real use cases, integrate heterogeneous data sources, and leverage existing infrastructures. Semantics, ontologies, metadata, computing models, and machine-level semantics are key considerations. VREs can span various scientific disciplines, with a focus on ICT infrastructures for addressing societal challenges.

  • virtual research environments
  • interdisciplinary research
  • data interoperability
  • digital tools
  • e-infrastructures

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  1. La Call 'Virtual Research La Call 'Virtual Research Environments' Environments' Giuseppe Andronico, Roberto Barbera

  2. Dati preliminari e-Infrastructures for virtual research environments (VRE) Titolo della call Tipo di azione Research and innovation actions Budget 42 M Deadline 14/01/2015, 17:00 Brussels time

  3. Specific Challenge There is yet considerable potential and room for development in the use of virtual research environments (VRE). Objective to address this challenge by supporting capacity building in interdisciplinary research communities to empower researchers through development and deployment of service-driven digital research environments, services and tools tailored to their specific needs. VRE should: integrate resources across all layers of the e-infrastructure (networking, computing, data, software, user interfaces) foster cross-disciplinary data interoperability provide functions allowing data citation and promoting data sharing and trust.

  4. Scope Each VRE should abstract from the underlying e- infrastructures using: standardised building blocks and workflows well documented interfaces, in particular regarding APIs interoperable components. Over time VREs will be composed of: generic services delivered by e-infrastructures domain specific services co-developed and co-operated by: Researchers technology and e-infrastructure providers possibly commercial vendors.

  5. Scope The VRE proposals should clearly identify and build on requirements from real use cases. Examples: Integration of heterogeneous data from multiple sources Value-added services for computing, modelling, simulation data exploration, mining and visualisation, taking due account of privacy aspects. VRE should re-use tools and services from existing infrastructures and projects at national and/or European level as appropriate.

  6. Scope Where data are concerned, projects will define Semantics Ontologies the 'what' metadata the best computing models levels of abstraction (e.g. by means of open web services) to process the rich semantics at machine level (the so called 'how' metadata) as to ensure interoperability. They may also support proof of concept, prototyping and deployment of advanced data services and environments, and access to top-of-the-range connectivity and computing. VREs may target any area of science and technology, especially interdisciplinary ones, including ICT, mathematics, web science and social sciences and humanities. Focusing on the ICT infrastructures needed for addressing the Societal Challenges is especially encouraged.

  7. Scope Proposals should indicate the number of researchers they target as potential users. This topic is complementary with topic INFRADEV-4- 2014/2015, as VREs integrate data, network and computing resources for interdisciplinary research communities, whereas INFRADEV-4-2014/2015 addresses interoperability of services and common solutions for cluster of ESFRI and other research infrastructure initiatives in thematic areas.

  8. Scope The Commission considers that proposals requesting a contribution from the EU of between EUR 2 and 8 million would allow this topic to be addressed appropriately. Quindi tra 21 e 6 proposte possibilmente approvate Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

  9. Expected impact VREs: are expected to result in more effective collaboration between researchers and higher efficiency and creativity in research as well as in higher productivity of researchers thanks to reliable and easy access to discovery, access and re-use of data. They will accelerate innovation in research via an integrated access to potentially unlimited digital research resources, tools and services across disciplines and user communities and enable researchers to process structured and qualitative data in virtual and/or ubiquitous workspaces. They will contribute to increased take-up of collaborative research and data sharing by new disciplines, research communities and institutions.

  10. VRCs @Catania Earth Sciences EarthServer http://www.earthserver.eu/ Big Earth Data Analysis by the adoption of the Web Coverage Processing Service (WCPS) standard defined by the Open Geospatial Consortium (OGC) EMSO http://www.emso-eu.org European network of fixed point, deep sea observatories with the basic scientific objective of real-time, long-term monitoring of environmental processes related to the interaction between the geosphere, biosphere, and hydrosphere. DRIHM http://www.drihm.eu/ Open, fully integrated workflow platform for predicting, managing and mitigating the risks related to extreme weather phenomena Agriculture agInfra http://aginfra.eu Develop a shared infrastructure and computationally empowered services for agricultural research data that allow for producing and transferring scientific and technological results into effective agricultural practice Cultural Heritage DCH-RP http://www.dch-rp.eu/ Identify best practice for preservation policies in the digital cultural heritage sector Computational Chemistry CCMST VRC porting to the distributed infrastructure several real-life use cases based on widely adopted applications, among them: Quantum Espresso, Crystal, VENUS-C, DL-POLY, Gromacs, NAMD, Gaussian, etc. Life Sciences VESPA http://www.progettovespa.it Design and develop a Virtual Environment for qualitative and quantitative evaluation, and rehabilitation of motor and cognitive diseases such as mental or linguistic retard, and Alzheimer s Disease IORT_THER APY http://www.polooncologicoce falu.it Supporting the IntraOperative Electron Radiotherapy (IOERT): a technique that allows treatment of the tumour bed after surgery, delivering a high dose to the target while preserving other healthy structures BioVeL www.biovel.eu Addresses the needs of a broad range of biodiversity scientists by offering a series of reliable Web services to construct workflows that can be managed for commonly executed analyses in ecology, taxonomy, phylogeneticsand metagenomics

  11. ReCaS Bari ReCaS Bari sta portando avanti alcune attivit nell ottica di supportare la partecipazione ad eventuali proposal VRE Attivit nel progetto FP7 BioVeL Attivit nella JRU Lifewatch italia (insieme a CNR e altri enti di ricerca nazionali) Lifewatch Partecipazione nella JRU Elixir Italia (insieme a CNR e altri enti di ricerca nazionali) Partecipazione alle task force europee su item di interesse tecnologico Elixir Attivit in corso per sostenere lo sviluppo di componenti non ancora presenti e che possano essere di interesse per le comunit che seguiamo pi da vicino Dirac Attivit per supportare gli use case di area bio nel contesto della EGI Cloud Task Force EGI Fed Cloud Task Force

  12. Virtual Organization supportate sull'infrastruttura ReCaS e risorse preesistenti (Tier2s, NA/SCoPE, BA/BC2S/,CT/PI2S2) Virtual Organization atlas alice lhcb biomed compchem cms belle grid.it argo virgo pamela biovel glast.org t2k.org vo.aginfra.eu Km3Net.org Catania Cosenza Napoli Bari X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 12

  13. Tools INFN @Catania AAI Federated users authentication; catch-all Identity Federation and Identity Providers for homeless users High-level tools and frameworks Web-based Science Gateways to harmonize the access to the distributed computing infrastructures (Grid, Cloud and HPC) using standards defined by OGF; Cloud-based computing infrastructures and solutions (IaaS and SaaS); Open Access Data and Document Repositories services; Native mobile solutions for implementing application on different platforms (iOS, Android, BlackBerry and Windows Phone); Cloud Computing Distributed & orchestrated cloud based on standard API @Bari Web service e Workflow access: How to make available complex computational resources in a seamless way to high level services like workflow (Grid, Cloud and HPC) Cloud based solution for long tail of science @Altre sezioni - E' il caso di fare al piu' presto un inventario/catalogo - Possiamo cominciare a discuterne qui adesso

  14. UTENTI RECAS - Oltre 40 Gruppi di Utenti Area di interesse Gruppo (Istituzione di appartenenza) ALICE (INFN) ATLAS (INFN) CMS (INFN) LHCb (INFN) BELLE2 (INFN) Fisica delle Alte Energie (HEP) ARGO (INFN) VIRGO (INFN) FERMI/GLAST (INFN) T2K (INFN) PAMELA (INFN) Analisi delle biodiversit , analisi filogenetiche, NGS, simulazione dinamica molecolare CEINGE- Biotecnologie (UNINA) Istituto di Biomembrane e Bioenergia (CNR) Istituto Tecnologie Biomediche (CNR) Istituto Virologia delle Piante (CNR) Dipartimento di Scienze della Salute (UMG) Dip. di Informatica (Univ. Bicocca) Botanica (UNINA) Dip. di Farmacia e Dip. di Bioscienze, Biotecnologie e Biofarmaceutica (UNIBA) Dip. Scienze Chimiche e Dip. di Ingegneria Chimica, dei Materiali e della Prod. Industriale (UNINA) Simulazioni modelli sismici, metereologici, fluidodinamica Istituto di Vulcanologia (CNR) Dip. di Ingegneria Civile, Dip. di Ingegneria Industriale, Dip. di Matematica (UNINA) Dip. di Fisica (UNIBA) Gruppo IV (INFN) ARPA Puglia Neuroscienze, immagini mediche digitali Dipartimento di Fisica (UNIBA) Dipartimento di Fisica e Chimica (UNIPALERMO) Dipartimento di Matematica (UNINA) MIND (INFN) Economia: Stime di modelli Bayesiani Dipartimento di Economia (Universit Roma Tre) Studio e Ingegneria delle telecomunicazioni (UNINA)

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