Presented during the Research Data Alliance's 11th Plenary in Berlin, Germany, the EOSC-hub project, through this presentation, gave an overview on the project and how it will contribute to the development of the European Open Science Cloud. Moreover, it also gives a more comprehensive rundown of services that will be made available through EOSC-hub
Presented during the Research Data Alliance's 11th Plenary in Berlin, Germany, the EOSC-hub project, through this presentation, gave an overview on the project and how it will contribute to the development of the European Open Science Cloud.
European Open Science Cloud: Concept, status and opportunitiesEOSC-hub project
European Open Science Cloud: Concept, status and opportunities.
Presentation given by Gergely Sipos at the International Symposium on Grids and Clouds 2019 event in Taiwan.
The document describes the EGI Open Data Platform, which enables easy discovery, access, and usage of reference open data and user data. It federates existing data sources and storage providers, brings data to multiple hybrid clouds, and provides discovery and publishing of data. Key features include being a new data as a service offering based on Onedata; cross-domain federation of storage providers; and a central means for accessing open data. It benefits users by increasing data accessibility, bringing data to computing resources, and providing integrated services like federation and authentication.
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's ExistingEOSCpilot .eu
The EOSC faces as well technical, social and economic challenges on interoperability. These have to be overcome in order to provide an efficient EOSC architecture. Some solutions are in place in some domains, but these have to be expanded to the cross-disciplinary and/or international level. In this presentation, we discuss FAIR data sharing and current developments.
EOSC-hub is a project that aims to create the European Open Science Cloud (EOSC) Hub by federating existing service providers and offering a portfolio of services, software, and data for research. It involves over 100 partners from 20 European infrastructures. The project is funded for 36 months from January 2018 to December 2020 with over €33 million from the European Commission's Horizon 2020 program. Key activities of EOSC-hub include integrating existing services, establishing common processes and policies, operating federation services, and supporting the adoption of services by research communities.
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub project
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagement with stakeholders, Tiziana Ferrari, Technical Director, EGI & EOSC-hub Project Coordinator; Per Öster, Director, CSC & EOSC-hub Project Director (EOSC hub week, Malaga, 16 - 20 April 2018)
Shaping the EOSC Portal - future vision for EOSC Hub EOSC-hub project
This document discusses shaping the European Open Science Cloud (EOSC) Portal by building on current initiatives. It describes how the EOSC-Hub, OpenAIRE, and eInfraCentral projects are contributing resources and services to the portal's development. The EOSC Portal is envisioned as a universal entry point and gateway for users to access EOSC resources. It will require developing core elements and interfaces tailored to different user personas. Next steps include creating a mock-up portal version and conducting user experience research throughout 2018.
Presented during the Research Data Alliance's 11th Plenary in Berlin, Germany, the EOSC-hub project, through this presentation, gave an overview on the project and how it will contribute to the development of the European Open Science Cloud.
European Open Science Cloud: Concept, status and opportunitiesEOSC-hub project
European Open Science Cloud: Concept, status and opportunities.
Presentation given by Gergely Sipos at the International Symposium on Grids and Clouds 2019 event in Taiwan.
The document describes the EGI Open Data Platform, which enables easy discovery, access, and usage of reference open data and user data. It federates existing data sources and storage providers, brings data to multiple hybrid clouds, and provides discovery and publishing of data. Key features include being a new data as a service offering based on Onedata; cross-domain federation of storage providers; and a central means for accessing open data. It benefits users by increasing data accessibility, bringing data to computing resources, and providing integrated services like federation and authentication.
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's ExistingEOSCpilot .eu
The EOSC faces as well technical, social and economic challenges on interoperability. These have to be overcome in order to provide an efficient EOSC architecture. Some solutions are in place in some domains, but these have to be expanded to the cross-disciplinary and/or international level. In this presentation, we discuss FAIR data sharing and current developments.
EOSC-hub is a project that aims to create the European Open Science Cloud (EOSC) Hub by federating existing service providers and offering a portfolio of services, software, and data for research. It involves over 100 partners from 20 European infrastructures. The project is funded for 36 months from January 2018 to December 2020 with over €33 million from the European Commission's Horizon 2020 program. Key activities of EOSC-hub include integrating existing services, establishing common processes and policies, operating federation services, and supporting the adoption of services by research communities.
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub project
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagement with stakeholders, Tiziana Ferrari, Technical Director, EGI & EOSC-hub Project Coordinator; Per Öster, Director, CSC & EOSC-hub Project Director (EOSC hub week, Malaga, 16 - 20 April 2018)
Shaping the EOSC Portal - future vision for EOSC Hub EOSC-hub project
This document discusses shaping the European Open Science Cloud (EOSC) Portal by building on current initiatives. It describes how the EOSC-Hub, OpenAIRE, and eInfraCentral projects are contributing resources and services to the portal's development. The EOSC Portal is envisioned as a universal entry point and gateway for users to access EOSC resources. It will require developing core elements and interfaces tailored to different user personas. Next steps include creating a mock-up portal version and conducting user experience research throughout 2018.
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hubBjörn Backeberg
This presentation was given during the Japan Geosciences Union 2019. Session details can be found at http://www.jpgu.org/meeting_e2019/SessionList_en/detail/M-GI31.htm
Integrating and managing services for the European Open Science CloudOpenAIRE
Integrating and managing services for the European Open Science Cloud - Abdulrahman Azab (EOSC-Hub, University of Oslo).
Presented : at OpenAIRE - EOSC-hub webinar “Data Privacy and Sensitive Data Services” https://www.openaire.eu/item/openaire-eosc-hub-webinar-data-privacy-and-sensitive-data-services
The document discusses collaborations between EUDAT and PRACE to enable large scientific projects by coupling data and high performance computing (HPC) resources. It describes several joint projects that were awarded as part of PRACE calls that involved EUDAT providing data services and storage for projects in various fields like engineering, materials science, and astrophysics. The collaborations aim to make data and computing resources more interoperable and accessible in support of the Open Science vision. Specific activities discussed include joint calls for proposals, credential synchronization to allow seamless access to services, and training on data management best practices.
GÉANT operates a pan-European network that interconnects National Research and Education Networks across Europe to support over 50 million academic users. It runs a membership association for these NRENs, coordinates EU-funded projects, and manages a portfolio of services for research and education communities. GÉANT designs, builds, and operates a high-capacity network to share and process large data volumes for research and allow testing of new technologies.
The document summarizes a webinar about the EOSC Early Adopter Programme. It provides an overview of open science and the European Open Science Cloud (EOSC) initiative. It describes services available through projects like EOSC-hub, OCRE, OpenAIRE, and GÉANT that can support research workflows. These include computing, data, and networking resources. The presentation outlines the Early Adopter Programme, which provides resources and support to pilot technical solutions using multiple EOSC services. Selected projects will receive further assistance to scale up successful pilots.
EOSC support to scientific computing needs in to Earth Observation with the EGI Federated Cloud
The European Open Science Cloud (EOSC) supports multi-disciplinary science, and Earth Observation is one of the major use cases.
EOSC will provide capacity and capabilities for the fostering the exploitation of EO data, this can be achieved by federating cloud providers of EGI, DIAS, and data analytics tools. In this presentation, we show how EOSC can rely on a public-private cloud federation for delivering its compute platform for EO.
The document discusses the architecture of the EOSC-hub Authentication and Authorization Infrastructure (AAI). The EOSC-hub AAI will leverage existing interoperable AAI solutions like B2ACCESS, Check-in, and IAM to enable access to research data and services across nations and disciplines. It will use eduGAIN identity providers and other credentials to expand access. The EOSC-hub AAI takes a multi-BPA approach, with each AAI acting as both a service gateway and potential community identity manager. Services connect to specific AAIs, while generic services may connect to multiple AAIs.
The European Commission's Open Data ambition (Marjan Grootveld) - EUDAT Summe...EUDAT
This document discusses the European Commission's guidelines on data management for Horizon 2020 projects. It provides an overview of the Commission's ambitions for open data and the FAIR data principles. The guidelines require projects to submit a Data Management Plan within the first 6 months, with regular updates. The plan must address how research data will be shared and preserved in a FAIR manner. Projects are expected to deposit underlying data for publications in repositories to enable open sharing and long-term preservation, while allowing exceptions where necessary. The template for the Data Management Plan includes sections on data standards, metadata, resource allocation, security, and ethics.
The role of public procurement in the EOSC: previous experience and EOSC-hub ...EOSC-hub project
Collaborative procurement is emerging as an essential capability of the future EOSC. It has the potential to increasing cost effectiveness, reduce the time/effort/risk in resource acquisition, and creating market opportunities. This presentation will provide an overview of previous experiences and describe the planned activities within the EOSC-hub project.
The costs of making data FAIR (Marjan Grootveld) - EUDAT Summer School | www....EUDAT
The document discusses the costs associated with making data findings from Horizon 2020 projects fair and open. It notes that costs for long-term data preservation, collection, storage, access, security, archiving, and sharing can be claimed as eligible expenses. However, these costs must be budgeted for in the initial project proposal as they will only be reimbursed during the active project period. Examples of costs include salaries for transcription, cloud storage fees, third-party encryption, and long-term repository maintenance.
The document discusses the implementation roadmap for the European Open Science Cloud (EOSC). It outlines 6 action lines for the roadmap: 1) EOSC architecture, 2) Data, 3) Services, 4) Rules of participation, 5) Governance, and 6) Access and interface. Key projects like EOSC-hub will provide core services and federate other research data infrastructures. The roadmap aims to develop FAIR data practices and tools across Europe and establish an EOSC portal and catalogue of services.
Purchasing from the Cloud, Cross Border Procurement and the role of GEANT as ...EOSC-hub project
EOSC-hub Week presentation as part of the session on Understanding the demand for digital services in research and the role of public procurement. Topics include GEANT introduction, supply chain, national deployments, NREN roles, Iaas framework updates, intro to IaaS and more
Survey on metadata management and governance in EuropeSemic.eu
This document summarizes the findings of a survey on metadata management and governance practices in Europe. It identifies the most common roadblocks to effective metadata governance as lack of buy-in from management, lack of methodologies, lack of standards, and inadequate tool support. Case studies of metadata governance approaches used at various European and national institutions are also presented. Examples of good practices identified include distinguishing relevant roles, stakeholder involvement, balancing stability and flexibility, and use of standard reference data. Recommendations include formulating legislation at a high level, documenting processes, using open licensing, and assigning persistent identifiers. Next steps proposed are developing a metadata governance methodology and pilot projects to test it.
This webinar discusses mapping the national landscape analysis of several European projects related to the European Open Science Cloud (EOSC). The EOSC aims to provide 2 million EU researchers with a service environment for research data management, analysis, and reuse across disciplines. Key achievements in 2016-2018 include establishing a vision, roadmap, political support, and prototype portal. The EOSC launch event occurred in November 2018. Governance in 2019-2020 will include a stakeholder community board, working groups, and executive board to advise and steer implementation. Horizon 2020 has allocated over 250 million euros through calls to further develop the EOSC portal and services. Projects under INFRAEOSC-05 are coordinating national initiatives to enhance
EOSC-hub Contribution to the European Open Science Cloud WGs - TNC 2019, Tallin, June 2019
The presentation provides an overview of the main project contributions to the EOSC working group, including:
(1) Services of the EOSC federating infrastructure that provide the frame through which the research-facing services can be integrated into EOSC (EOSC Portal website and its Marketplace, Federated AAI, Monitoring, Accounting, Helpdesk)
(2) Interoperability guidelines, such as Accounting record standard and exchange guidelines, Incident record management and monitoring information, Service description metadata, Technical interoperability guidelines for generic and thematic services.
(3) Federated service management guidelines and a prototype of the EOSC Service Management System in compliance to the FitSM standard.
EOSC-Hub - Services for the European Open Science Cloude-ROSA
The document summarizes the objectives and services of EOSC-hub, which is implementing and operating access channels for the European Open Science Cloud (EOSC). EOSC-hub aims to (1) aggregate services from local/national providers and demands from researchers through the EOSC, (2) define engagement rules with EOSCpilot and develop a service framework, and (3) operate and integrate an initial set of baseline, thematic, and federation services. The services support the full research data lifecycle from discovery to reuse. EOSC-hub involves 74 partners from 23 countries and receives €30 million in Horizon 2020 funding over 3 years to develop and advance EOSC.
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hubBjörn Backeberg
This presentation was given during the Japan Geosciences Union 2019. Session details can be found at http://www.jpgu.org/meeting_e2019/SessionList_en/detail/M-GI31.htm
Integrating and managing services for the European Open Science CloudOpenAIRE
Integrating and managing services for the European Open Science Cloud - Abdulrahman Azab (EOSC-Hub, University of Oslo).
Presented : at OpenAIRE - EOSC-hub webinar “Data Privacy and Sensitive Data Services” https://www.openaire.eu/item/openaire-eosc-hub-webinar-data-privacy-and-sensitive-data-services
The document discusses collaborations between EUDAT and PRACE to enable large scientific projects by coupling data and high performance computing (HPC) resources. It describes several joint projects that were awarded as part of PRACE calls that involved EUDAT providing data services and storage for projects in various fields like engineering, materials science, and astrophysics. The collaborations aim to make data and computing resources more interoperable and accessible in support of the Open Science vision. Specific activities discussed include joint calls for proposals, credential synchronization to allow seamless access to services, and training on data management best practices.
GÉANT operates a pan-European network that interconnects National Research and Education Networks across Europe to support over 50 million academic users. It runs a membership association for these NRENs, coordinates EU-funded projects, and manages a portfolio of services for research and education communities. GÉANT designs, builds, and operates a high-capacity network to share and process large data volumes for research and allow testing of new technologies.
The document summarizes a webinar about the EOSC Early Adopter Programme. It provides an overview of open science and the European Open Science Cloud (EOSC) initiative. It describes services available through projects like EOSC-hub, OCRE, OpenAIRE, and GÉANT that can support research workflows. These include computing, data, and networking resources. The presentation outlines the Early Adopter Programme, which provides resources and support to pilot technical solutions using multiple EOSC services. Selected projects will receive further assistance to scale up successful pilots.
EOSC support to scientific computing needs in to Earth Observation with the EGI Federated Cloud
The European Open Science Cloud (EOSC) supports multi-disciplinary science, and Earth Observation is one of the major use cases.
EOSC will provide capacity and capabilities for the fostering the exploitation of EO data, this can be achieved by federating cloud providers of EGI, DIAS, and data analytics tools. In this presentation, we show how EOSC can rely on a public-private cloud federation for delivering its compute platform for EO.
The document discusses the architecture of the EOSC-hub Authentication and Authorization Infrastructure (AAI). The EOSC-hub AAI will leverage existing interoperable AAI solutions like B2ACCESS, Check-in, and IAM to enable access to research data and services across nations and disciplines. It will use eduGAIN identity providers and other credentials to expand access. The EOSC-hub AAI takes a multi-BPA approach, with each AAI acting as both a service gateway and potential community identity manager. Services connect to specific AAIs, while generic services may connect to multiple AAIs.
The European Commission's Open Data ambition (Marjan Grootveld) - EUDAT Summe...EUDAT
This document discusses the European Commission's guidelines on data management for Horizon 2020 projects. It provides an overview of the Commission's ambitions for open data and the FAIR data principles. The guidelines require projects to submit a Data Management Plan within the first 6 months, with regular updates. The plan must address how research data will be shared and preserved in a FAIR manner. Projects are expected to deposit underlying data for publications in repositories to enable open sharing and long-term preservation, while allowing exceptions where necessary. The template for the Data Management Plan includes sections on data standards, metadata, resource allocation, security, and ethics.
The role of public procurement in the EOSC: previous experience and EOSC-hub ...EOSC-hub project
Collaborative procurement is emerging as an essential capability of the future EOSC. It has the potential to increasing cost effectiveness, reduce the time/effort/risk in resource acquisition, and creating market opportunities. This presentation will provide an overview of previous experiences and describe the planned activities within the EOSC-hub project.
The costs of making data FAIR (Marjan Grootveld) - EUDAT Summer School | www....EUDAT
The document discusses the costs associated with making data findings from Horizon 2020 projects fair and open. It notes that costs for long-term data preservation, collection, storage, access, security, archiving, and sharing can be claimed as eligible expenses. However, these costs must be budgeted for in the initial project proposal as they will only be reimbursed during the active project period. Examples of costs include salaries for transcription, cloud storage fees, third-party encryption, and long-term repository maintenance.
The document discusses the implementation roadmap for the European Open Science Cloud (EOSC). It outlines 6 action lines for the roadmap: 1) EOSC architecture, 2) Data, 3) Services, 4) Rules of participation, 5) Governance, and 6) Access and interface. Key projects like EOSC-hub will provide core services and federate other research data infrastructures. The roadmap aims to develop FAIR data practices and tools across Europe and establish an EOSC portal and catalogue of services.
Purchasing from the Cloud, Cross Border Procurement and the role of GEANT as ...EOSC-hub project
EOSC-hub Week presentation as part of the session on Understanding the demand for digital services in research and the role of public procurement. Topics include GEANT introduction, supply chain, national deployments, NREN roles, Iaas framework updates, intro to IaaS and more
Survey on metadata management and governance in EuropeSemic.eu
This document summarizes the findings of a survey on metadata management and governance practices in Europe. It identifies the most common roadblocks to effective metadata governance as lack of buy-in from management, lack of methodologies, lack of standards, and inadequate tool support. Case studies of metadata governance approaches used at various European and national institutions are also presented. Examples of good practices identified include distinguishing relevant roles, stakeholder involvement, balancing stability and flexibility, and use of standard reference data. Recommendations include formulating legislation at a high level, documenting processes, using open licensing, and assigning persistent identifiers. Next steps proposed are developing a metadata governance methodology and pilot projects to test it.
This webinar discusses mapping the national landscape analysis of several European projects related to the European Open Science Cloud (EOSC). The EOSC aims to provide 2 million EU researchers with a service environment for research data management, analysis, and reuse across disciplines. Key achievements in 2016-2018 include establishing a vision, roadmap, political support, and prototype portal. The EOSC launch event occurred in November 2018. Governance in 2019-2020 will include a stakeholder community board, working groups, and executive board to advise and steer implementation. Horizon 2020 has allocated over 250 million euros through calls to further develop the EOSC portal and services. Projects under INFRAEOSC-05 are coordinating national initiatives to enhance
EOSC-hub Contribution to the European Open Science Cloud WGs - TNC 2019, Tallin, June 2019
The presentation provides an overview of the main project contributions to the EOSC working group, including:
(1) Services of the EOSC federating infrastructure that provide the frame through which the research-facing services can be integrated into EOSC (EOSC Portal website and its Marketplace, Federated AAI, Monitoring, Accounting, Helpdesk)
(2) Interoperability guidelines, such as Accounting record standard and exchange guidelines, Incident record management and monitoring information, Service description metadata, Technical interoperability guidelines for generic and thematic services.
(3) Federated service management guidelines and a prototype of the EOSC Service Management System in compliance to the FitSM standard.
EOSC-Hub - Services for the European Open Science Cloude-ROSA
The document summarizes the objectives and services of EOSC-hub, which is implementing and operating access channels for the European Open Science Cloud (EOSC). EOSC-hub aims to (1) aggregate services from local/national providers and demands from researchers through the EOSC, (2) define engagement rules with EOSCpilot and develop a service framework, and (3) operate and integrate an initial set of baseline, thematic, and federation services. The services support the full research data lifecycle from discovery to reuse. EOSC-hub involves 74 partners from 23 countries and receives €30 million in Horizon 2020 funding over 3 years to develop and advance EOSC.
EOSC-hub brings together multiple service providers to create the Hub: a single contact point for European researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research.
This presentation introduces the services on offer to scientists of all disciplines
This document discusses standardization activities related to the ACTIVAGE project. It describes contributions to standards for body area networks, sensor integration, and data modeling. It discusses the development of an extension to the SAREF standard for eHealth and aging well domains. It also covers the IEEE P2510 standard for establishing quality of data sensor parameters, and the opportunities for digital innovation hubs around this standard. The document concludes that data quality is crucial for industries like health, and that certification processes for vendors will be important to integrate as work continues.
The document discusses the EUDAT CDI (Collaborative Data Infrastructure), which provides common data services for research communities. It was established in 2016 through a partnership agreement between 22 organizations committed to sustaining the infrastructure for 10 years. The CDI architecture involves community repositories feeding into EUDAT's generic data services for storage, processing, and archiving. Key ongoing projects that leverage and contribute to the CDI include EOSCpilot, EOSC-Hub, and SeaDataCloud.
The document provides an update on the EUDAT CDI architecture and services. It outlines the evolution of the CDI architecture to consolidate common building blocks and develop new services to address the full research data lifecycle. It also previews an in-depth look at future CDI services in the next session.
- Services are becoming more important in today's economy and often rely on large, complex systems as critical infrastructure
- Engineering service systems requires a holistic, customer-focused approach across the entire lifecycle
- New approaches to acquisition and contracting are needed to focus on capabilities and services rather than just technologies/products
- Making this transition requires a conceptual shift from products to ensuring the delivery of capabilities through services
1) The session provided updates on EUDAT's CDI architecture, data access and reuse, data preservation, and data processing and analysis.
2) EUDAT maintains 33 documents across three levels and 14 training modules to support users.
3) The EUDAT CDI is a partnership of 22 members committed to sustaining the pan-European infrastructure for 10 years through membership fees and project participation.
This document summarizes the results and future outlook of the EOSC-hub project. It discusses key exploitable results including the EOSC Digital Innovation Hub, the EOSC service portfolio, and the competence centre. It provides statistics on the growth of services, users, and training. Success stories are shared from research infrastructures leveraging the EOSC including increases in users, data, and computing resources. The presentation concludes by discussing priorities for further collaboration and engagement and announcing a new EOSC Early Adopter Programme.
The document provides information on the services and products offered by the Integrated Carbon Observation System (ICOS). ICOS generates high quality greenhouse gas observation data from over 130 monitoring stations across Europe. It processes data through a standardized pipeline from raw measurements to quality-controlled data products. ICOS also coordinates the research infrastructure, provides data management and access services, and communicates scientific findings to inform policymaking and public understanding of climate change.
This document summarizes a presentation about EOSC-hub and the role of National Grid Initiatives (NGIs) in supporting the European Open Science Cloud (EOSC). EOSC-hub is a 3-year, 33 million euro project that integrates digital infrastructure services from 20 providers, including EGI, EUDAT, and INDIGO-DataCloud. EGI is a federation of national e-infrastructures from 22 countries and CERN that provides computing and data services. NGIs operate local services, provide user support and training, and help integrate scientific applications. NGIs and their International Liaisons can help research communities with big data and computing needs and provide a gateway to international services like E
Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels).
During this session, we will present the concept of BDVA i-Spaces (as it is reflected in the BDVA SRIA), the process and steps of i-Spaces labeling, the value proposition of being an i-Space and activities and examples of collaboration. The session will also include examples of first-hand experience from three recognized i-Spaces: ITAINNOVA (DIH Aragon), UPM, and Demokritos NCSR (aheed DIH).
Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels).
During this session, we will present the concept of BDVA i-Spaces (as it is reflected in the BDVA SRIA), the process and steps of i-Spaces labeling, the value proposition of being an i-Space and activities and examples of collaboration. The session will also include examples of first-hand experience from three recognized i-Spaces: ITAINNOVA (DIH Aragon), UPM, and Demokritos NCSR (aheed DIH).
Up to €67.4 million is foreseen from the 2020 CEF Telecom Work Programme for grants managed by INEA in the area of Generic Services. The grants under CEF Telecom helped European public administrations and businesses to hook up to the core platforms of the digital services that are the object of the calls.
In particular, €5 million was made available in 2019 and €3 million in 2020 for projects oriented towards 'Open Data' management.
GreenMov, ODALA and INTERSTAT have developed services and products that can be easily adopted by public administrations and beyond thank to the funding of CEF programme target on Open Data
The purpose of this event is not only to present results, demos or provide technical guidelines for developers, it is a moment of reflection on lesson learned and best practices that came from years of project’s activity to analyse what will be the impact for Public Administrations, and finally test the value of GreenMov, INTERSTAT and ODALA in solving future problems.
The document summarizes the European Open Science Cloud (EOSC). It discusses the first phase of EOSC from 2018-2020 which is addressing six roadmap action lines through various H2020 projects. The second phase beginning in 2020 is dependent on an evaluation of the first phase. Current EOSC governance is working to steer initial implementation and transition to the second stage. Several working groups have been established to work on key outputs around rules of participation, landscape and sustainability analysis, architecture, and FAIR data principles. The transition to the second phase will require addressing issues around governance, funding, and establishing a core infrastructure.
| www.eudat.eu | The EGI-EUDAT collaboration started in March 2016 with the main goal to harmonise the two e-Infrastructures, including technical interoperability, authentication, authorisation and identity management, policy and operations. The main objective of this work is to provide end-users with a seamless access to an integrated infrastructure offering both EGI and EUDAT services and then, pairing data and high-throughput computing resources together.
To define the roadmap of this collaboration, EGI and EUDAT selected a set of relevant user communities who are already collaborating with both infrastructures. These user communities are able to bring requirements and help assign the right priorities to each of them. In this way, the integration activity has been driven by the end users from the start. The identified user communities are relevant European Research infrastructure in the field of Earth Science (EPOS and ICOS), Bioinformatics (BBMRI and ELIXIR) and Space Physics (EISCAT-3D).
The first outcome of this activity has been the definition of a universal use case that covers the user needs with respect the integration of the two infrastructures previously identified. This use case permits a user of either e-infrastructure to instantiate a VM on the EGI Cloud Federation for the execution of a computational job consuming data preserved onto EUDAT resources. The results of such analysis can be staged back to EUDAT storages, and if needed, allocated with Permanent identifiers (PIDs) for future use. To implement all the steps of this use case the following integration activities between the two infrastructures has to be fulfilled: (1) harmonisation between the authentication and authorisation model, (2) definition and implementation of the interfaces between the involved EGI and EUDAT services.
The first phase of the implementation of this use case has been demonstrated at the EGI Community Forum 2015 (Bari, IT). In addition, two pilot use cases (EPOS and ICOS) have been selected to drive the implementation and validate the results.
CETIC is a non-profit research center located in Charleroi, Belgium that was founded in 2001. It has over 45 researchers across 3 departments focused on applied research and technology transfer to support regional economic development. CETIC provides services like feasibility studies, proof-of-concept projects, and technology transfer to help companies integrate ICT technologies. It also engages in collaborative R&D projects with a variety of partners from Wallonia, Europe, and other regions.
Similar to EOSC-hub RDA 11 Colocation Presentation (20)
Service management board (SMB), Service providers’ forum (SPF)EOSC-hub project
The document discusses communications requirements and logistics for coordinating service providers in EOSC-hub. It proposes establishing a Service Provider Forum and Service Management Board to facilitate scalable communication with the potentially large number of service providers. The SPF would be open to all providers while the SMB would focus on high participation providers. Meetings would be virtual to reduce demands on time. Harmonization of policies and practices across services is also discussed to provide consistent user experiences despite heterogeneous backgrounds.
This document describes different levels of participation for service providers to join the European Open Science Cloud (EOSC) ecosystem through the EOSC-hub project. It outlines the benefits and requirements for entry, standard, and high levels of participation. The entry level is aimed at any service provider and provides basic benefits like exposure and helpdesk support. The standard level provides additional benefits like integration assistance and input into policies. The high level provides maximum integration and alignment with EOSC-hub service management processes. Authentication and authorization infrastructure solutions and a helpdesk as a service are also described.
This document discusses the formation and remit of the FAIR Working Group (WG) within the EOSC Executive Board governance structure. The FAIR WG will coordinate activities to implement open and FAIR practices in EOSC, advise on FAIR-related matters, and deliver an annual workplan based on the FAIR Action Plan. It will draw input from projects like FAIRsFAIR and work closely with other EOSC WGs. The FAIR WG will be composed of nominations from the Governance Board and Executive Board as well as open calls, and will aim to include researcher voices while avoiding conflicts of interest.
This document summarizes a series of workshops on services to support FAIR data. The workshops aim to explore how existing infrastructures can collaborate to deliver FAIR services, understand how to create FAIR research outputs, and engage stakeholders on implementing FAIR data. The first workshop will take place in Prague on April 12, 2019 and feature talks on the FAIR data maturity model, the EOSC working group on FAIR, and implementation stories from data certification, management and PID services. Participants will then break into groups to discuss challenges, recommendations and priorities for FAIR data services.
1) The MaX Centre of Excellence aims to enable high-throughput materials design through automated simulations and tracking of provenance using the AiiDA platform.
2) AiiDA and the Materials Cloud platform allow over 10,000 simulations per day by automating workflows, tracking provenance to ensure reproducibility, and sharing data according to FAIR principles.
3) Potential areas for collaboration with EOSC include integrating AiiDA Lab and the Materials Cloud Archive, developing standardized workflows as services, and providing authentication and authorization through B2ACCESS and EGI Check-In.
This document summarizes ELIXIR's plans to develop a cloud computing platform to support life science research across Europe. It discusses ELIXIR's goals to integrate user authentication, rationalize reference data distribution, support hybrid cloud/HPC deployments, develop a task distribution network using Kubernetes, and support workflow engines. Key components include Biocontainers for tools, RDSDS for reference data, TESK for task execution, and WES-ELIXIR for workflows. The platform aims to be compatible with GA4GH standards and support projects like EOSC-Hub and EOSC-Life.
Structural biology in the cloud powered by the WeNMR thematic servicesEOSC-hub project
The document summarizes 10 years of the WeNMR thematic services which provide structural biology tools and resources powered by cloud computing infrastructure. Key points include:
- The services have over 13,000 registered users and served over 210,000 runs since 2008, with over 40% using grid resources.
- Continued growth has been enabled by high-throughput computing resources from successive EU projects over 10 years.
- Tools include the HADDOCK web portal for protein-protein docking and DISVIS/POWERFIT for GPU-accelerated analysis.
- Containerization using Docker and integration with the European Open Science Cloud help modernize services and ensure sustainability.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
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Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Astute Business Solutions | Oracle Cloud Partner |
EOSC-hub RDA 11 Colocation Presentation
1. eosc-hub.eu
@EOSC_eu
EOSC-hub receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 777536.
Integrating and managing services for the
European Open Science Cloud
The EOSC-hub project
Diego Scardaci (EGI Foundation)
Activity Management Board co-Chair
2. 24/6/2018
EOSC-hub mobilises providers from 20 major
digital infrastructures, EGI*, EUDAT CDI** and
INDIGO-DataCloud jointly offering services,
software and data for advanced data-driven
research and innovation.
* EGI is not an acronym (any more)
** CDI – Collaborative Data Infrastructure
3. 3
European Commission Horizon2020 programme
100 Partners, 76 beneficiaries (75 funded)
3874 PMs, 108 FTEs, more than 200 technical and
scientific staff involved
- €33,331,18, funded by:
European Commission: €30,000,000
EGI Foundation and its participants: €2,155,540
EGI participants: €1,221,094
36 months: Jan 2018 – Dec 2020
4/6/2018
Project figures
4. 44/6/2018
EOSC-hub Mission
4/6/2018 4
The project will create EOSC Hub:
a federated integration and management system
for EOSC
• Data
• Applications & tools
• Baseline services
(storage, compute,
connectivity)…
• Training, consultants
• Marketplace
• AAI
• Accounting
• Monitoring
• …
• Security regulations,
• Compliance to
standards,
• Terms of use,
• FAIR implementation
guidelines
• …
Usage according to
Principles of
engagement
From the consortium
AND from external
contributors
• Lightweight certification
of providers
• SLA negotiation
• Customer Relationship
Management
• …
Services
Federation
services
Federated
operations
Processes
and
policies
Based on FitSM
5. 5
• Contact point for researchers and innovators to discover, access,
use and reuse a broad spectrum of resources for advanced data-
driven research
Catalogue of resources and services
Humanities, Engineering, Medical and Health Sciences, Natural Sciences
• Corpus of policies, processes and federation services
(community-defined)
Principles of engagement and EOSC “core” services
• Quality assurance reviews
Manage end-to-end service level management performance
• Competence Centres and a Joint Digital Innovation Hub
Specialized Technical support, training
4/6/2018
What does the Hub provide?
8. 8
IT Service Management
• Why IT service management (ITSM)?
– About 80% of all IT service outages originate
from "people and process issues"
– Duration of outages and degradations
significantly dependent on non-technical factors
• IT service management
– Focuses on the provision of high quality IT
services that meet customers' and users’
expectations
– Defines, documents and maintains service
management processes through assigned roles
and responsibilities
Reasons for service outages
[Gartner]
9. 9
FitSM: Requirements
• FitSM defines 85 requirements that should be fulfilled by an
organisation (or federation) offering IT services to customers
• Compliance with the 85 requirements can be regarded as a
"proof of effectiveness"
• The 85 requirements are structured as follows:
–16 general requirements (GR)
–69 process-specific requirements (PR)
• Consideration of the 14 IT service management processes from the
FitSM process model
• Between 2 and 8 requirements per process
FitSM service management processes:
• Service portfolio management
• Service level management
• Incident management
• Change management
• Capacity management
• Information security management
• …
Example – Service Portfolio Management requirements:
PR1.1 A service portfolio shall be maintained. All services shall be
specified as part of the service portfolio.
PR1.2 Design and transition of new or changed services shall be
planned.
PR1.3 Plans for the design and transition of new or changed services
shall consider timescales, responsibilities, new or changed technology,
communication and service acceptance criteria.
PR1.4 The organisational structure supporting the delivery of services
shall be identified, including a potential federation structure as well as
contact points for all parties involved.
10. 106 Feb 2018, GoToWebinar
Addressing requirements
Technical tools
• Process documentation
– e.g. Confluence,
Wikimedia
• Ticket tool
– e.g. GGUS, JIRA, RT
• Templates
– e.g. Word docs, Excel,
Google Apps, Forms
16. 16
Manages
- The internal governance, strategy and funding
- The internal portfolio, policies and processes
Participates in the Hub with
- Resources and services as needed
Internally certified to comply to the Hub policies
- Input to the EOSC standards roadmap and policies
- Domain-specific FAIR implementation guidelines etc.
4/6/2018
EOSC-hub Domain
17. 174/6/2018
Adoption of generic services
Thematic services Common services
Data analytics
&
Community-
specific
Services
Open
Collaboration
Services
Application/sof
tware
repository,
Configuration
management,
Marketplace
Federation
Services
AAI,
Accounting,
Monitoring,
Operations,
Security
Added value services
Compute, data, software management,
curation & preservation
Basic infrastructure
Compute and storage
integration
Competence
Centres
incubate
Service catalogue: https://wiki.eosc-hub.eu/display/EOSC/EOSC-hub+service+catalogue
WP5 WP5WP6
WP6
WP7
WP8
New
communities
integration
Engagement and support for new communities
Provide
18. 18
1. Request services AND/OR inclusion in the EOSC-hub catalogue:
http://eosc-hub.eu/contact-us-0 (online form)
(This will be soon replaced with the EOSC-hub Marketplace)
2. Support team contacts you to discuss details (skype/phone)
4. Customer relationship management
Regular ‘satisfaction interviews’ (~3/6 months)
4/6/2018
Engagement step list for new
user or provider communities
• If user community:
• EOSC-hub negotiates conditions
with providers
• EOSC-hub signs SLA with the new
community
• If provider community:
• EOSC-hub signs OLA with the new
community
B
O
T
H
3.
20. 20
• EOSC-hub week, Malaga:http://eosc-
hub.eu/news/eosc-hub-launches-its-first-eosc-hub-
week-16-20-april-2018-malaga-spain-join-us
1. Public days: 16-17 Aprilhttp://eosc-hub.eu/eosc-hub-week-2018-
programme
▪ Session on Comp Centres, Thematic Services, Demonstrators :
http://eosc-hub.eu/scientific-communities-eosc-hub-and-eoscpilot
2. Project members’ all-hands meeting: 18-20 April
▪ 3 sessions about Competence Centre setup&validation plans
4/6/2018
Next event
21. 21
EOSC-hub will
- Create and provide the Hub as federated
integration and management system for the
future EOSC + integrated service&resource
catalogue
- Implement the Hub as open community-lead
framework
- Provide a wide range of services from many
major digital infrastructures and research
communities
4/6/2018
Summary
22. eosc-hub.eu @EOSC_eu
Thank you for
your attention!
More Information on the EOSC-hub
service catalogue are available in the
following slides
24. 244/6/2018
Generic services
Open Collaboration services
• Applications Database: Virtual appliances and application software repository and
management
• Repositories: Repositories of verified software to be deployed by the Service Providers
25. 254/6/2018
Generic services
Federation services
• Accounting: Infrastructure composed by repositories and portal to collect usage statistics
of the EOSC-hub services and present them to the stakeholders
• ARGO: Monitoring infrastructure to track services status and collect statistics
• Check-in: AAI platform for federated authentication to EGI services
• GGUS: Helpdesk platform for the EGI infrastructure
• GOCDB: Configuration database, service registry
• Marketplace: Exposes the service catalogue to services and collects service orders
• Operations Portal: Operational tools to manage distributed infrastructures
• RCAuth: Online CA for the translation of credentials to X.509 certificates
• SPMT: Service portfolio management tool
• DPMT: Configuration management & data management tool for the users
• B2ACCESS: AAI platform for federated authentication to EUDAT services
• TTS: RT-based helpdesk service for the EUDAT infrastructure
• SYMON: Service to monitor the deployed service versions
26. 264/6/2018
Generic services
Basic infrastructure and added-value services
• EGI HTC: High-throughput compute
• EGI Cloud Compute: Infrastructure as a
service cloud compute
• EGI Cloud Container: Docker containers
cloud computing
• DIRAC4EGI: Workload management
service for computational tasks both on
cloud and HTC
• EGI Online storage: Store data in a
reliable and high-quality environment
and share it across distributed teams
• EGI DataHub: Access public datasets
and consume them from compute
services
• B2HANDLE: Persistent ID management
• B2FIND: Metadata based data-discovery
service
• B2DROP: Secure and trusted data
exchange service for researchers
• B2SAFE: Distribute and store large
volumes of data based on data policies
• B2STAGE: Data transfer between
resources and computational facilities
• B2SHARE: Store / publish research data
• B2NOTE: Data annotation service
• ETDR: European certified Trusted Digital
Repository
• Sensitive Data Service
• Advanced IaaS
• TOSCA for Heat: Support for TOSCA
templates in OpenStack heat component
• OPIE: Open source implementation of
spot instance virtual machines for
OpenStack
27. 274/6/2018
Disciplinary services
Thematic services
• ECAS: Climate Analytics Service
• DARIAH Gateway: A portal tailored for the digital arts and humanities communities
• OPENCoastS: On-demand Operational Coastal Circulation Forecast Service
• GEOSS: GEO DAB (Discovery and Access Broker), GEOSS portal
• EO Pillar: Earth observation services coordinated by ESA. The tools are: MEA, EPOSAR,
Sentinel playground, Datacube analytic service, Geohazards exploitation platform, OSS-X
Sentinel service
• WeNMR: Online portals for structural biology analytics: DISVIS, POWERFIT, HADDOCK,
GROMACS, AMPS-NMR, CS-ROSETTA, UNIO, FANTEN
• DODAS: Dynamic On Demand Analysis Service
• LifeWatch: PAIRQURS, Citizen science services, GBIF, Digital Knowledge preservation
framework, remote monitoring and smart sensing.
• CMI: The Component MetaData Infrastructure, including the Virtual Language
Observatory and the Virtual Collection Registry. Provided by CLARIN-ERIC
28. Enhance discovery and reuse of scientific products
across communities
B2Find
Marketplace
(1)Discover and Reuse
29. 29
Making Open Science findable
(http://b2find.eudat.eu/)
Provided through EOSC-hub
● Cross-disciplinary metadata and discovery service (B2FIND) allowing RI to
make their data findable and discoverable in a central catalogue
○ Metadata can be harvested via OAI-PMH. Possibility to use also APIs as JSON-API’s and
CSW2.0 to collect the metadata from the communities.
○ The project provides support to integrate community data catalogue
To be funded by the community
● Elicitation & mapping of metadata schemas in use within the community
● Definition of FAIR implementation guidelines (input to EOSC-hub)
B2FIND
30. 30
Provided through EOSC-hub:
● Marketplace: multi-tenant user-facing platform for service providers to publish
their EOSC services and EOSC-compliant data repositories, and collect
service orders
○ Mature services and curated data
○ The RI retains control and accountability for the services and data published and participate in
the management of the Hub service portfolio
○ Support to usage of common service templates
To be funded by the community:
● Service design to set-up a cluster-wide or RI-specific service portfolio
● Advice on ISO-compliant service portfolio management process, auditing
● Operation of a dedicated customized marketplace (if necessary)
EOSC-hub Marketplace
31. Scale out your computing environment and process & analyse data in a
federated environment
● Applications on Demand
● Federated High Throughput Computing
● Federated Cloud Compute IaaS and PaaS
● Processing of sensitive data
● Jupyter
● Scientific Workflow Management, Orchestration (DIRAC, PaaS
Orchestration)
● Discipline-specific data analytics tools
(2) Processing and Analysis
32. Online scientific applications and application-hosting frameworks
with computing and storage for compute-intensive data analysis
(https://marketplace.egi.eu/42-applications-on-demand-beta).
Provided through EOSC-hub:
• Hosting platform, compute and storage, extendible with new applications,
application-hosting frameworks, and HTC or cloud resources: custom
applications can be executed on EGI Cloud Compute and High-Throughput
Compute services and offered as scalable, online services to researchers
worldwide
• Application porting support
To be funded by the community:
• Porting of applications and support to end-users
32
Applications on Demand
33. 33
Run computational jobs at scale on the EGI infrastructure. It allows you
to analyse large datasets and execute thousands of parallel computing
tasks. HTC is provided by a distributed network of computing centres,
accessible via a standard interface and membership of a virtual
organisation (https://marketplace.egi.eu/32-high-throughput-
compute)
Provided through EOSC-hub:
• Technical support
• Capacity via brokering to national HTC providers
• Services to federate community-owned HTC clusters
To be funded by the community:
• Capacity for compute-intensive applications
• Service enabling via porting of community applications
Federated High Throughput
Computing (HTC)
34. 34
Execute compute- and data-intensive workloads (both batch and interactive)
Host long-running services (e.g. web servers, databases or applications servers)
Create disposable testing and development environments on virtual machines and
scale your infrastructure needs (https://marketplace.egi.eu/31-cloud-compute).
Provided through EOSC-Hub:
• Multi-cloud IaaS with Single Sign-On (EGI Federated Cloud)
• Run Docker containers (deploy and scale Docker containers on-demand)
• Appliance Library to share and automatically distribute applications
Orchestration to easily move applications across providers.
• Unified web dashboard to interact with all providers.
• Services to federate community-owned cloud resources
• Technical support
To be funded by the community:
• Capacity for compute-intensive applications
• Service enabling via porting of community applications
Federated Computing IaaS
and PaaS
35. 35
Processing of sensitive data
Provided through EOSC-Hub:
• If access to data is restricted by National or European regulations or by other
confidentiality policies, the sensitive data services provide:
- A secure IT platform to store, process, analyse and share data in a secured environment
- Provide secure, separated and private environments enforced via strong access rules
- Provide consultation and technical support to make use of the Sensitive Data Service
To be funded by the community:
• Service provisioning and capacity on the Sensitive Data Services
36. 36
Share documents with live code, equations, visualisations
and explanatory text.
Provided through EOSC-hub:
● Jupyter Notebook service with
● AoD integration
● Persistent storage
● Customized notebook environments
● Access to other EOSC services from the notebooks
To be funded by the community:
● Community customisation & specific services instances.
Jupyter Notebook
37. 37
• DIRAC4EGI: Workload management service to distribute
jobs and manage centrally thousands of computational
tasks on cloud and HTC
• TOSCA-based deployment orchestration on multiple IaaS
Provided through EOSC-hub:
● Operations of of workflow management system and orchestrator
● Technical Support
● Compute infrastructure, brokering to national compute providers
To be funded by the community:
● Community customisation & specific instances.
Scientific Workflow Management
and Orchestration
38. 38
Discipline-specific data analytics 1/3
Who Service
WeNMR. A worldwide e-
Infrastructure for NMR
spectroscopy and Structural
biology
Amber is a suite of programs that allow users to perform molecular dynamics simulations on biological systems
HADDOCK is an information-driven flexible docking approach for the modelling of biomolecular complexes.
The CS-ROSETTA web server generates 3D models of proteins.
DISVIS allows visualising and quantifying the information content of distance restraints between macromolecular
complexes.
FANTEN is a user-friendly web tool for the determination of the anisotropy tensors and residual dipolar
couplings.
The GROMACS web server is an entry point for molecular dynamics on the grid.
POWERFIT performs a full-exhaustive 6-dimensional cross-correlation search between the atomic structure and
the density.
The UNIO web server is an entry point for molecular dynamics on the grid. Besides the application software, the
services also provide automated pre- and post-processing, the compute, storage and job scheduling and
monitoring for running the application.
ENES. Services for Climate
Modeling in Europe
The ENES Climate Analytics Service (ECAS) will enable scientific end-users to perform data analysis experiments
on large volumes of climate data, by exploiting a PID-enabled, server-side, and parallel approach
Compact Muon Solenoid
(CMS)
Dynamic On Demand Analysis Service (DODAS) provides dynamic generation of scalable, monitored HTCondor-
based batch system clusters and Spark/Hadoop-based Big Data clusters instantiated on-demand over IaaS clouds
39. 39
Who Service
CLARIN (European Research
Infrastructure for Language
Resources and Technology)
The Component MetaData Infrastructure provides a framework to describe and reuse existing metadata
blueprints
INCD (Portuguese National
Infrastructure for Distributed
Computation that provides
scientific computing services
for science)
On-demand Operational Coastal Circulation Forecast Service (OPENCoastS) builds on-demand circulation
forecast systems for selected sections of the Portuguese coast
Earth Observation Data and
Adding Value Services
MEA is a geospatial data analysis tool empowered with OGC standard interfaces.
EPOSAR allows for a systematic generation of ground displacement maps and time series.
Sentinel Playground - provide access to complete archive of Sentinel-2 data and ESA Archive of Landsat 5,7 and
8.
Datacube Data Analytics Service proposes a multi-sensor, -scale and -purpose datacube approach.
Geohazards Exploitation Platform is focused on the integration of Ground Segment capabilities and ICT
technologies to maximise the exploitation of EO data.
OSS-X Sentinel Service is a web based system designed to provide EO data users with Search - Cataloguing -
Order and Dissemination capabilities for the Sentinel products.
EO Cloud is a cloud processing platform based on open source OpenStack technology.
EODC SDIP provides cloud, high performance computing and data storage facilities.
Discipline-specific data analytics 2/3
40. 40
Discipline-specific data analytics 3/3
Who Service
DARIAH (pan-European
infrastructure for arts and
humanities)
DARIAH Science Gateway offers cloud-based services and applications to the humanities research
communities
IFREMER (operator of tools
for observing and monitoring
oceanographic databases)
The INFRAMER platform provides users with marine data collections from state-of-the art integrators in the
world. Data collections provided on the platform are public but might require specific license or citation
agreement from the users.
EISCAT (next generation
incoherent scatter radar
system)
The EISCAT_3D portal provides services for data cataloguing, discovery and pre-defined analysis
41. Manage, preserve and curate data according to domain specific policies
and provide access to HTC, HPC and Cloud for the processing and
analysis of data
● B2HANDLE
● B2SAFE
● European Trusted Digital Repositories
(3) Data Management, Curation and
Preservation
42. Making science referenceable (https://www.eudat.eu/services/userdoc/b2handle)
Provided through EOSC-Hub
● Distributed service for storing, managing and accessing persistent references
(PIDs) to scientific products
○ Unified technical interface for minting PIDs and PID namespaces (prefixes)
○ Replicated PIDs for high availability and resolution, including reserve lookups
○ Easy integratable and client-side application support through a Python library
To be funded by the community:
● Provisioning of community dedicated PID prefixes
● Provisioning of B2HANDLE service for minting PIDs
42
B2HANDLE
43. 43
B2SAFE
Supporting data Management Policies (https://www.eudat.eu/b2safe)
Provided through EOSC-Hub:
● Service to implement data management policies in a distributed and federated
data infrastructure
○ Enabling access to large scale storage and archiving facilities
○ Replication, persistent identifier and data curation policies to secure data for long
term preservation according to domain specific policies;
○ Staging of data to HTC/HPC resources (EGI FedCloud, PRACE HPC, etc.)
○ Technical support on data management policies
To be funded by the community:
● Procurement of large pledges of
storage infrastructure to be federated
in EOSC
44. 44
European Trusted Digital
Repositories
Provided through EOSC-hub:
● European Trusted Digital Repositories (ETDR) allowing RIs to publish
and manage data in:
○ Deposit data in repositories which are certified according to a requirements for
trusted digital repositories (e.g. CoreTrustSeal, Data Seal of Approval, Nestor
Seal or ISO16363)
○ Ensure reliability and durability, manage, share and curate data in a FAIR way
○ Consultancy to become an ETDR
To be funded by the community:
● Technical support to ingest data in ETDR
● Service provisioning and resources in an ETDR
45. Make digital objects (data, software and applications) identifiable and
share them with other researchers
● Application Database
● B2DROP
● B2NOTE
● B2SHARE
● DataHub
(4) Access, Deposition, Sharing
46. 46
Share/Discover and Use of community-specific scientific software,
applications and cloud virtual appliances (https://appdb.egi.eu/)
EOSC-hub funded:
● Application Database platform operations
● Use to the service, including dashboard for managing VAs
● Technical support
● Support to packaging virtual appliances following security best practices
Application Database
47. 47
B2DROP
Sync and share research data (https://www.eudat.eu/services/b2drop)
Provided through EOSC-hub:
● Store and share data with colleagues and team members, including research
data not finalised for publishing
○ Cloud storage to share data with fine-grained access controls
○ Synchronise multiple versions of data across different devices, including workflow and
computing environments
○ Publish data via B2SHARE
To be funded by the community:
● Provisioning and operation of a dedicated customized
B2DROP instance (if required)
48. 48
B2NOTE
Use annotations to structure your data (https://b2note.eudat.eu/)
Provided through EOSC-hub:
● Manage and share annotations on data with colleagues and team members
○ Annotations are keywords or commentaries attached to a object, that explains or classifies
it.
○ B2NOTE annotation service is integrated with the B2SHARE service and technology
○ B2NOTE can be easily integrated with other community data repository services
○ Provide training on semantic annotations
To be funded by the community:
● Technical support on the integration of B2NOTE
annotation service into community services
49. 49
Store and publish data (https://b2share.eudat.eu/)
Provided through EOSC-hub:
● Data repository & publishing service (B2SHARE) allowing RIs to publish and
manage data in a persistent way
○ Use of DataCite DOIs & EPIC PID
○ Domain specific metadata extensions
○ Manage the publish life cycle with version control
○ Community defined authorisation rules
○ Annotations via defined ontologies
B2SHARE
To be funded by the community:
● Customization and provisioning of a
(dedicated) B2SHARE instance
● Definition of FAIR implementation guidelines
(input to EOSC-hub)
50. 50
Discovery, access and usage of reference open datasets and user data
● Federates existing data sources and data storage providers into one name
space
● Brings data to the multiple hybrid clouds and HTC
○ Increased accessibility of data to users → Bring data to computing
○ Scalable federation of distributed data providers
○ Publishing/DOIs
○ Use of eduGAIN and federated AAI
DataHub
Provided through EOSC-Hub:
● Technology and its support
● Test infrastructure
To be funded by the community:
● Storage capacity to scale up data infrastructure
● Dedicated support and service customization
51. 51
EOSC-hub service catalogue
mapping to FAIR
Service F A I R
B2Handle X X X
B2Find X X X
Marketplace X X X
Application Database X
B2SHARE X X X X
B2DROP X
DataHub X X X X
European Trusted Digital
Repositories
X X X X
Findable Accessible Interoperable Reusable
Service F A I R
Federated AAI X
B2SAFE X
B2NOTE X X
Federated Cloud/HTC
Jupyter Notebook
Applications on Demand
Workflow Management
and orchestration
Sensitive Data Services
52. ● Federated AAI
● Monitoring and accounting
● SLA and order management
● Security incident response and security policies
● Technical support and training
Federation services
53. 53
EOSC-hub AAI
Services for Trust and Identity
Provided through EOSC-hub:
● Multi-tenant service for federated authentication and authorization supporting all
main standards
○ Only one account needed for federated access to multiple heterogeneous (web
and non-web) service providers using different technologies (SAML, OpenID
Connect, OAuth 2.0, X509)
○ Use of federated IdPs in eduGAIN
○ Identity linking enables access to resources using different login credentials
(institutional/social)
○ Aggregation and harmonisation of authorisation information from multiple
sources
To be funded by the community:
● Dedicated support
54. 54
EOSC-hub AAI Architecture
Secure: operates under strict
security policies
Simple: hides the complexity
Low overhead: Easy integration of
multiple IdPs and AAs
Interoperable: AARC blueprint,
eduGAIN
REFEDS R&S and Sirtfi policies
55. 55
• Only one account needed for federated access to
multiple heterogeneous (web and non-web) service
providers using different technologies (SAML, OpenID
Connect, OAuth 2.0, X509)
• Identity linking enables access to resources using
different login credentials (institutional/social)
• Aggregation and harmonisation of authorisation
information from multiple sources
• AAI is offered in two configurations
- As a service: EOSC-hub AAI catch-all instance
- Dedicated instance
Capabilities
56. 56
• Management of shared services of the Hub and related processes
- Federated authentication and authentication
- Marketplace (discovery, order management, SLA management)
- Helpdesk for incident and problem management
▪ can be offered and branded as front desk of RI users
- IT Security Management (e.g. coordinated incident response,
security forensics/monitoring)
- Service quality assurance (auditing)
▪ accounting and monitoring infrastructure
- Service portfolio management
• Maintenance of the EOSC-hub corpus of policies
- data policies ← input from INFRAEOSC-04
- security policies ← input from INFRAEOSC-04
- standards roadmap ← input from INFRAEOSC-04
- FAIR implementation guidelines ← input from INFRAEOSC-04
Federated service management
57. 57
● Data and services to be published in the EOSC-hub
marketplace
○ Terms of use of contributed data and services are
defined by the RIs
● Definition/Maintenance of
○ FAIR implementation guidelines
○ Community-specific data policies for compliance to
applicable laws and technical interoperability
○ Input to EOSC-hub Principles of Engagement (PoE)
and standards roadmap
INFRAEOSC-04 input to EOSC-hub 1/2
58. 58
● Participation to EOSC-Hub service portfolio management for all cluster
services contributed to the Hub
○ Definition and maintenance of cluster service descriptions
○ Self-certification of compliance of cluster data and services to the Hub
● Participation as service provider to the governance of the Hub
(definition and maintenance of the overall Hub Service Management
policies and processes) together with other providers e.g.
○ Definition/Maintenance of service level targets and performance
reporting
○ Development of accounting probes and publishing of accounting
records
○ Definition of policy and security requirements
○ IT security management concerning RI services
INFRAEOSC-04 input to EOSC-hub 2/2
59. 59
Examples of use cases -
Competence Centres
Challenges Relevant EOSC-hub services
ELIXIR CC ● Establish a federation of cloud providers to replicate
ELIXIR Core Datasets and Applications
● Bring these cloud-data providers into EOSC
● Enable federated AAI across life science and EOSC
services
● Federated Cloud
● AAI
● Operational policies
● Experience with Virtual Access
● Code of Conduct for sensitive data
Fusion CC (ITER) ● Port fusion workflows to federated compute
environment
● Federate and enable access to distributed datasets
● Application and data provenance
● AAI
● Data and compute federation (containers)
● Workflow management
● Monitoring, helpdesk,
● PIDs, ...
Marine CC
(Ifremer, Euro-
Argo)
● Cloud-based data subscription and data delivery
service (from EMSO, Argo, SeaDataNet, etc.)
● Enabling users’ simulations to run within custom
environments on ‘subscribed data’
● Operate the setup as an EOSC service
● Storage and compute clusters
● Data discovery and staging (B2Find, B2Stage)
● Jupyter service (24/7)
● FitSM (IT service management)
EISCAT_3D CC ● Make EISCAT data accessible via a ‘data webshop’
● Enable online data analytics for researchers (based
on community and custom applications)
● Operate the data-compute portal as an EOSC service
● B2Share (metadata schema management)
● DIRAC file catalogue and application manager for researchers
● Federated compute sites (cloud)
● User authentication, authorisation (VOMS, Perun)
● FitSM (IT service management)
60. 60
Examples of use cases -
Competence Centres (cont)
Challenges Relevant EOSC-hub services
EPOS - ORFEUS CC ● Effective transfer and staging of big data
● Harmonised data management policies at seismic
observatories
● Enable researchers to analyse data, create and
publish ‘user-defined data products’
● AAI
● Data staging and transfer services
● Federated compute services
● Jupyter (data access and analytics environment)
● Data Management good practices
Radio Astronomy
CC (LOFAR→ SKA)
● Enable researchers to find, access and process
data from the LOFAR Telescope
● Support application developers in deploying
workflows for researchers
● Support research users in data analytics on
federation of compute clusters
● B2Find - B2Share
● B2Stage
● B2Safe
● B2Handle (PIDs)
● Jupyter
● Federated compute and storage resources
ICOS-eLTER CC ● Enable researchers to find, access and process
data from ICOS and eLTER
● Integrate ICOS Portal and analysis tools with
large-scale storage and compute resources
● Support research users in data analytics on
federation of compute clusters
● B2Safe
● B2Find
● B2Stage
● Federated cloud
Disaster
Mitigation Plus CC
● Setup simulation web portals for simulation of
natural hazards (storm surge, dust transportation,
forest fire, flood)
● Federate environmental data from agencies in
Asia-Pacific region
● Federated compute resources (HTC and cloud)
● Operational tools
● FitSM