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Nowadays, research practice is increasingly and in many cases exclusively data driven. Knowledge of how to use tools to manipulate research data, and the availability of e-infrastructures to support them, are foundational. Along with this, new types of communities are forming around interests in digital tools, computing facilities and data repositories.
By making infrastructure services, community engagement and training inseparable, existing communities can be empowered by new ways of doing research, and new communities can be created around tools and data. The EGI Community Forum aims at gathering tool developers, infrastructure providers, data providers and research communities to work together towards open science.
More information and timebale of the EGI-Engage face-to-face meetings
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With e-Infrastructures evolving towards service-oriented provision with on-demand allocation and pay-for-use capabilities, there is an opportunity for analysing and revising the procurement process for e-Infrastructure services. Currently publicly funded resource providers and their users lack the knowledge and mechanisms to collectively bid within a public procurement process. The goal of this activity is to analyse opportunities and barriers for cross-border procurement of e-Infrastructure services and to identify best practices that could enable RIs or large research collaborations to acquire services to support their research agenda collectively. A number of RIs and infrastructure providers will contribute to the analysis and documentation of use cases. A final report will be produced identifying opportunities, barriers, use cases and best practices. The report will be disseminated to relevant authorities at national and international level, including those involved in structural funding, and feedback will be collected. The activity will be led by CERN with the contribution of INGV (representing EPOS), CSIC (representing LifeWatch), BBMRI-ERIC, RBI (representing DARIAH) and EGI.eu (representing EGI and liaising with the NGIs).
As most are aware, the EGI infrastructure and various activities related to it are changing quite rapidly with new communities being engaged with EGI and new technology being used such as that related to the EGI Federated Cloud. These have a wide range of implications concerning the various security activities and evolving the security activities to meet with these challenges is being carried out as part of the EGI-Engage project. This session will include presentations from the Security Policy Group(SPG), the Computer Security Incident Response Team(CSIRT), Software Vulnerability Group(SVG) on progress during the first few months of the EGI-Engage project and plans for the coming year with emphasis on the impact and responsibilities of user and application communities in the changing environment.
In this session, the EGI Federated Cloud use cases will be showcased. Relevant production applications and pilots will be invited to demonstrate both the multidisciplinary of the FedCloud and the different usage models enabled. Researchers will describe their experience with the FedCloud highlighting how this infrastructure is helping them and what new features they have in their wish list.
This session will help EGI to provide a service that better fits the users needs. Indeed, the requirements that will be collected during this session will be further examined by the EGI Federated Cloud task force and included in the EGI technology roadmap when considered of general interest.
The establishment of a marketplace is so researchers can discover and exchange services relevant to their research, ideally applying the one-stop-shop concept for data and services. The activity will develop the tools to facilitate the discovery and provisioning of services and data for the researchers and resource providers. This will be done in collaboration with researchers and resource providers (user-driven scenario development). The marketplace can also serve as a platform for research communities to provision or share data and services to members for the communities.
Detailed agenda: https://indico.egi.eu/indico/conferenceDisplay.py?confId=2734
There are more than 20 million SMEs in the EU representing 99% of businesses. SMEs are considered one of the key drivers for economic growth, innovation, and employment. The European Commission has made them one of the focuses in the Horizon 2020 with the aim of putting SMEs in the lead for the delivery of innovation to the market. EGI aims at supporting this policy objective by exploring opportunities for synergies with SMEs.
Presentations will highlight a number of different activities on going in order to support these objectives: from a dedicated business engagement programme, the addition of pay-for-use capabilities, open calls for driving innovation, and showcasing concrete examples of opportunities moving forward.
The session concludes with ample time for discussion in order to define a set of recommendations and actions as key takeaways for session participants.
Therefore this session is of interest to both private and public organisations looking for collaboration opportunities end users for providing direct feedback.
Closed meeting (by invitation/confirmation) to discuss the role of NGIs and EIROs and participation mechanisms in an H2020 project to offer open calls to facilitate innovation with SMEs.
For more information and to express interest in attending, please contact policy@egi.eu.
In this session there will be a presentation of the first steps taken toward the technical interoperability and the participating EGI-EUDAT pilot communities (ICOS, BBMRI, ELIXIR, EISCAT-3D) will present their cross-infrastructure requirements. The aim is to show how to connect data stored in the EUDAT CDI to the high throughput and cloud computing resources provided by EGI and the other way around.
This session presents and discusses the advance in LifeWatch Competence Center:
-Support for LifeWatch in EGI FedCloud
-Implementation of Data Flow
-R as a service
-Support to Workflows (Galaxy and TRUFA)
-Assisted Pattern Recognition for Citizen Science in Biodiversity
-Implementation of the Network of Life
The aim of the H2020 session at the EGI Community Forum is to introduce services of the RICH Consortium, work of National Contact Points and to introduce new calls in Horizon 2020 Work Programme European research infrastructures (including e-Infrastructure) for years 2016- 2017. Beneficiaries (users of virtual access and coordinators of first e-infrastructures Calls in H2020) will provide participants with useful tips (preparing proposals, creation of consortium, realization phase of the project, etc.).
Prerequisites:
* Bring your own laptop
* Internet connection
* Programming knowledge
Content:
The HAPPI Toolkit is part of the Data Preservation e-Infrastructure produced by the SCIDIP-ES project [www.scidip-es.eu]. This component, released with open source license (Apache License v2.0) and available on SourceForge [http://goo.gl/yWPBkV] is an implementation of an authenticity model defined by the collaboration of the APARSEN and SCIDIP-ES projects. This model describes how to trace and document transformations on any digital object during the whole life cycle, and it is based on Open Provenance Model and PREMIS. These de-facto standards improves interoperability among different digital archives and/or research communities.
Description of transformations on digital object is part of “preservation metadata” (a.k.a. Preservation Description Information) includes provenance, reference and integrity information, according to the Open Archival Information System (OAIS), standard ISO:14721:2012.
Objectives of the tutorial is to provide attendees with:
* an overview of the digital preservation [15 minutes]
* an overview of the datamodel implemented by HAPPI Toolkit [15 minutes]
* an overview of the technologies, implementation details and code chunks of HAPPI Toolkit [30 minutes]
* practice on HAPPI Toolkit instances on EGI FedCloud [10 minutes]
* answers to questions [20 minutes]
Target audience: archivists, researchers, managers of research infrastructures and data centers, developers, EGI FedCloud users
Tutorial Material:all the material of the tutorial will be realised with Creative Commons license (by-sa). Details will be given before the tutorial. Attendees can anticipate questions and requests to the author.
The (re)-use of data, also in fishery and marine sciences, need data sharing policies and legal aspects in addition to technological interoperability.
FAO has prepared data sharing and legal interoperability policies in Virtual Research Environments, to be joined with a technical feasibility analysis by CNR. This activity will be completed by February 2016.
The workshop objective is to reach out to other communities with similar policies demand:
1) Overcome legal barriers in sharing fishery & marine sciences data-sets with other institutions and communities;
2) Deliver a set of legally relevant instructions to data providers and consumers to describe their data, access to data, and the life-cycle of data in an infrastructure;
3) Devise a context where infrastructure support to processing a mix of public and non-public data-sets results in improved data availability whilst respecting legal dissemination boundaries;
4) Present a use case with a regional database targeting fisheries’ productivity;
5) The ensuing discussion will aim to advice on legal interoperability support through an infrastructure (VRE’s), especially where storage and access arrangements are required (e.g. to support confidentiality needs of data owners).
Disaster Mitigation Competence Centre (DMCC) is building an open platform for open collaboration on Asia Pacific regional natural disaster mitigation by making use of e-Science methodologies. Scientific gateways of tsunami and weather simulation and analysis are the focuses of the first project year. iCOMCOT and gWRF are the primary application portals for the tsunami waveform transmission and analysis and the weather analysis respectively. Use cases driven approach dominates the workflow, components, and computing models of the system design. Potential hazards of tsunami sourced from the Manila trench, historical tsunami sources identification in the South China Sea, Thailand flood in 2011 and Malaysia flood in late 2014 are the target cases proposed by the members of DMCC in the first year.
Accelerated computing systems deliver energy efficient and powerful HPC capabilities. Many EGI sites are providing accelerated computing technologies to enable high performance processing such as GPGPUs or MIC co-processors. Currently these accelerated capabilities are not directly supported by the EGI platforms. To use the co-processors capabilities available at resource centre level, users must directly interact with the local provider to get information about the type of resources and software libraries available and which submission queues must be used to submit tasks of accelerated computing.
The session follows the one held in Lisbon in May, and will discuss the progress on the roadmap to achieve the federation of GPGPU or MIC co-processors capabilities across EGI HTC and Cloud platforms.
Service providers as well as user communities interested in the use of accelerated computing facilities across Europe are invited to participate bringing their requirements.
Collecting of user (SME and academia) requirements is imperative to profile new and enhanced EGI services, such as big and/or open services. Investigating agri-food and, fishery and marine sciences markets serve as a window to collect user requirements. A market analysis of these sectors works towards gaining insights on how to best build and co-design next generation e-infrastructures and drive the evolution of existing infrastructures. Furthermore, the investigation may provide insights on how to participate to the creation of value perhaps also through new and synergistic industries.
The aim of the Human Brain Project (HBP) is to accelerate our understanding of the human brain by integrating global neuroscience knowledge and data into supercomputer-based models and simulations. This will be achieved, in part, by engaging the European and global research communities using six collaborative ICT platforms: Neuroinformatics, Brain Simulation, High Performance Computing, Medical Informatics, High Performance Computing, Neuromorphic Computing and Neurorobotics.
This session is intended for
* NGIs cloud providers interested in how HBP can benefit from cloud provisioning for its big data integration needs and willing to support HBP
* technology providers interested in offering solutions and participating to tests
* members of the Federated Data Virtual Team
In the tutorial, the syntax, programming methodology and an overview of the COMPSs runtime internals will be given. The attendees will get a first lesson about programming with COMPSs that will enable them to start programming with this framework. The attendees will analyze several examples of COMPSs programming model and will be able to develop simple COMPSs applications and to run them in the EGI Federated Cloud testbed.
Prerequisites:
- Bring your own laptop
- (optional)Virtualbox with COMPSs image installed to run local examples
Content:
* Introduction to COMPSs and the integration with the EGI Fed Cloud (15’)
* Presentation of COMPSs applications in Java and Python (30’)
- Examples of code from real science use cases (bioinformatics, astrophysics, etc)
- Examples of benchmarks in Pyhton (KMeans, Word count)
* Hands on using the virtual machine (75’)
- Access to the VM
- Configuration of the COMPSs runtime
- Upload of demo data to the storage
- Execution of the applications
- Monitoring, debugging and tracing
* Final notes
EGI is serving many user communities, distributed collaborations, international virtual organizations, providing them a portfolio of federated services. Federated authentication and authorization is a critical capability that is needed to be productive in such a diverse landscape of use cases and service providers.
This session is a follow up to the AAI session that took place at the EGI Conference in Lisbon in May 2015 and will include presentations on the current state of the art of the e-infrastructures, in terms of AAI solutions, and their evolution.
Attending this session, EGI and the participating scientific communities will be able to discuss the evolution of the AAI landscape in Europe and how EGI enables user communities to overcome barriers and collaborate securely on top of EGI e-Infrastructure. As part of this session, EGI will present the initial outcomes from the adaption of federated access by EGI services and tools.
On behalf of the EDISON consortium, we kindly invite you to participate in its first workshop on the Demand for Data Science Skills & Competences.
The emergence of Data Science technologies is having an impact on nearly every aspect of how research is conducted. Data Science is considered as main enabler and facilitator of the Open Science Initiative for the European Research Area (ERA).
The effective use of Data Science technologies requires new skills and demands for new professions, usually referred as the Data Scientist: an expert who is capable both to extract meaningful value from the data collected and also manage the whole lifecycle of Data, including supporting Scientific Data e-Infrastructures. The future Data Scientists must possess knowledge (and obtain competencies and skills) in data mining and analytics, information visualisation and communication, as well as in statistics, engineering and computer science, and acquire experiences in the specific research or industry domain of their future work and specialisation.
CONTEXT
The Horizon 2020 EDISON project (September 1, 2015 August 30, 2017) will develop a sustainable business model that will ensure a significant increase in the number and quality of data scientists graduating from universities and being trained by other professional education and training institutions in Europe. This will be accomplished through the development of a number of inter-connected activities including the definition of required Data Science competences and skills.
WORKSHOP OBJECTIVES
The EDISON Competence Framework will formalise the Data Scientist profile using the European eCompetence Framework (eCF), extending it to cover all identified profiles corresponding to the major stakeholders/employers of the future specialists. This workshop will present interim project results and establish an open dialogue across communities to characterize the existing education and training resources in order further the development and validation of the Competence Framework.
Participants are invited to contribute to
- The analysis of organizational and employer requirements for competences and skills of Data Scientists
- Identifying and formalizing profiles corresponding to the major stakeholders/employers of the future specialists
TARGET AUDIENCES
European Research e-Infrastructure and European research institutions, data intensive and data driven industries, innovation companies and SME as well as related community initiatives interested in supporting the developing in data science experts.
Participants will benefit through
- Active involvement in structuring profiles and identification of commons and specifics (sub-profiles) for their respective sector
- Reviewing, discussing and, where appropriate, endorsing recommendations related to the formalization of the Data Science profession
- Being part of an ongoing open dialogue across communities
Prerequisites:
Participants need to bring their own laptop, connected to Internet
No advanced mathematical skills are required
No desktop application needs to be installed
Content:
The D4Science e-Infrastructure is a distributed network of service nodes designed to exploit the EGI Federated Cloud, residing on multiple sites, and managed by one or more organizations. It allows scientists to collaborate and offers a multiplicity of facilities as-a-service: data sharing, transfer, harmonization, Cloud processing and storage. D4Science has been used to support communities in several domains and it hosts models and data contributed by several international organizations. This tutorial will give attendees an overview of how to access and share data, how to execute either simple scripts or complex methods implemented in different languages, e.g. Fortran, R, Java, etc, on FedCloud overcoming technical boundaries not so often hidden in the exploited technologies.
Outline
- The D4Science e-Infrastructure and Virtual Research Environments
- Practice with the D4Science e-Infrastructure through web interfaces: sharing, social networking, interaction with applications
- Geospatial data visualization and representation
- Playing with specific domain models to familiarize with D4Science
--- Biological Science: (1) Accessing and representing large heterogeneous biological data, (2) Production of biodiversity trends, (3) Cloud computing and modelling with biological data
--- Environmental Science: Federation and visualisation of environmental data
The AARC project that started in May 2015 aims is a collaboration among
different parties, such as NRENs, e-infrastructure service partners,
including various user communities and the libraries.
The project aims to build on eduGAIN and on federated access to deliver
an integrated architecture that connects all existing AAIs deployed in
the R&E community. AARC has also a strong focus on training both on the
technical and policy aspects of federated access as well as to promote
AARC results. AARC results are expected to be validated via selected
pilots and by the buying in of the user communities.
A number of preliminary results will be available in the fall, such as
the initial draft for the integrated architecture, two deliverables on
the requirements for both the technical work as well as for the training
content and the initial preparation for the first training material.
In this sessions AARC results will be validated with the relevant communities. During the session AARC will also present the intermediate results on the architecture and the initial content of the training.
On behalf of the EDISON consortium, we kindly invite you to participate in its first workshop on the Academic Supply to Data Science.
The emergence of Data Science technologies is having an impact on nearly every aspect of how research is conducted. Data Science is considered as main enabler and facilitator of the Open Science Initiative for the European Research Area (ERA).
The effective use of Data Science technologies requires new skills and demands for new professions, usually referred as the Data Scientist: an expert who is capable both to extract meaningful value from the data collected and also manage the whole lifecycle of Data, including supporting Scientific Data e-Infrastructures. The future Data Scientists must possess knowledge (and obtain competencies and skills) in data mining and analytics, information visualisation and communication, as well as in statistics, engineering and computer science, and acquire experiences in the specific research or industry domain of their future work and specialisation.
CONTEXT
The Horizon 2020 EDISON project (September 1, 2015 August 30, 2017) will develop a sustainable business model that will ensure a significant increase in the number and quality of data scientists graduating from universities and being trained by other professional education and training institutions in Europe. This will be accomplished through the development of a number of inter-connected activities including the definition of required Data Science competences and skills and the Data Science Body of Knowledge as a foundation for the following definition of the Data Science model curriculum.
WORKSHOP OBJECTIVES
EDISON will work in close co-operation with experts and practitioners involved and interested in the development of Data Science academic educational and professional training programmes. The target is to discuss and to describe new outlines of professions in the field of data scientist for academic and industrial purpose. This cooperation will take place in consultation and validation activities and roundtables with relevant stakeholders and institutions.
The EDISON Body of Knowledge will be structured following the major knowledge areas that represent the data lifecycle and organizational workflow to use data to achieve their main operational goals. This workshop will present interim project results and establish an open dialogue across communities to characterize the existing education and training resources in order further the development and validation of the Body of Knowledge.
Participants are invited to contribute to:
- The EDISON inventory and taxonomy by providing an overview of existing curricula, training programmes and related educational resources
- Determining the Body of Knowledge for Data Science, identify and discuss common conceptual elements and gaps among the existing offerings
- The development of the Data Science Model Curriculum
- The formalization of the Data Scientist profession
TARGET AUDIENCES
Universities and scholars involved in Data Science academic programmes who are willing to engage in an open dialogue about the determination of the EDISON Body of Knowledge and the development of the Data Science Model Curriculum.
Participants will benefit through:
- Reviewing, discussing and, where appropriate, endorsing recommendations related to the formalization of the Data Science profession and required educational and training programmes.
- Being part of an ongoing open dialogue across communities
This workshop aims at strengthen the relation between the Astronomical and Astrophysical (A&A) community, mainly focused on the large experiments that will need of very powerful e-Infrastructures, and the ICT researcher that are proposing innovative technologies. This meeting will help researcher and developers from the different fields to meet and discuss on the next future answer that the e-infrastructure can provide.
CO-ORGANIZED BY EGI, EUDAT, GEANT and OpenAIRE
REGISTRATION: http://go.egi.eu/cf2015registration (free of charge)
In the conclusions on "open, data-intensive and networked research as a driver for faster and wider innovation" (May 28-29 2015) the Competitiveness Council welcomed "the further development of a European Open Science Cloud that will enable sharing and reuse of research data across disciplines and borders, taking into account relevant legal, security and privacy aspects".
Open Science is an umbrella term referring to "the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable redistribution, reuse and reproduction of the research and its underlying data and methods."
Open Science is not limited to open access to the outputs of the scientific process, but requires openness of each step of the research lifecycle (from ideas, to experimentation, data gathering, modelling, peer review, publishing, and finally education and training). In essence, Open Science aims at "rigorous, reproducible and transparent research".
The workshop offers an opportunity to focus on the requirements and challenges of the infrastructure needed for:
The workshop, co-organized by EGI, GEANT, and EUDAT2020, will devote ample time to discussion and will offer the opportunity to users, e-Infrastructure and Research Infrastructure providers, publicly funded and commercial cloud providers, data providers, international research collaborations and policy managers to gather and discuss three key points:
The "reading material" section is provided to you to learn about community's contributions to the Open Science Cloud idea.
The workshop conclusions will identify the barriers to remove and the actions needed.
NOTE. Participation is free of charge, but registration is mandatory through the EGI Community Forum registration system (http://go.egi.eu/cf2015registration).
STEERING COMMITTEE
- Tiziana Ferrari, EGI.eu
- Wouter Los, Independent Expert
- Natalia Manola, University of Athens and OpenAIRE
- Per Oster, CSC and EUDAT2020
- Roberto Sabatino, GEANT
This closed session is for those who have been invited to join one of the three Expert Liaison Groups (ELG) convened as part of the recently funded EU EDISON project. EDISON has been established to support the development of the data science career path into a recognised profession. The three ELGs represent employers, universities and data experts, and will meet to contribute to the projects aim of supporting and accelerating the process of establishing data scientist as a certified profession.
EDISON will run for 24 months and has seven core partners from across Europe. The project is coordinated by Yuri Demchenko at the University of Amsterdam in the Netherlands.
See project website for further details on the aims and objectives of EDISON. http://edison-project.eu
On Friday, Nov 13th, two meetings of the INDIGO-DataCloud project will take place immediately after the conclusion of the EGI Community Forum. These meetings, reserved to invited INDIGO-DataCloud participants, are the INDIGO Project Management Boards (PMB) in the morning and the INDIGO Technical Boards (TB) in the afternoon. These two bodies steer the technical development of the INDIGO-DataCloud project, whose goal is to create an open Cloud platform for Science. INDIGO-DataCloud is an H2020 project, funded from April 2015 to September 2017, involving 26 European partners and based on use cases and support provided by several multi-disciplinar scientific communities and e-infrastructures. The project will extend existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, PRACE and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANTs inter-federation policies, thus guaranteeing transparency and trust in the provisioning of such services. INDIGO will also provide a flexible and modular presentation layer connected to the PaaS and SaaS frameworks developed within the project, allowing innovative user experiences and dynamic workflows, also from mobile appliances.
CO-ORGANIZED BY EGI, EUDAT, GEANT and OpenAIRE
REGISTRATION: http://go.egi.eu/cf2015registration (free of charge)
In the conclusions on "open, data-intensive and networked research as a driver for faster and wider innovation" (May 28-29 2015) the Competitiveness Council welcomed "the further development of a European Open Science Cloud that will enable sharing and reuse of research data across disciplines and borders, taking into account relevant legal, security and privacy aspects".
Open Science is an umbrella term referring to "the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable redistribution, reuse and reproduction of the research and its underlying data and methods."
Open Science is not limited to open access to the outputs of the scientific process, but requires openness of each step of the research lifecycle (from ideas, to experimentation, data gathering, modelling, peer review, publishing, and finally education and training). In essence, Open Science aims at "rigorous, reproducible and transparent research".
The workshop offers an opportunity to focus on the requirements and challenges of the infrastructure needed for:
The workshop, co-organized by EGI, GEANT, and EUDAT2020, will devote ample time to discussion and will offer the opportunity to users, e-Infrastructure and Research Infrastructure providers, publicly funded and commercial cloud providers, data providers, international research collaborations and policy managers to gather and discuss three key points:
The "reading material" section is provided to you to learn about community's contributions to the Open Science Cloud idea.
The workshop conclusions will identify the barriers to remove and the actions needed.
NOTE. Participation is free of charge, but registration is mandatory through the EGI Community Forum registration system (http://go.egi.eu/cf2015registration).
STEERING COMMITTEE
- Tiziana Ferrari, EGI.eu
- Wouter Los, Independent Expert
- Natalia Manola, University of Athens and OpenAIRE
- Per Oster, CSC and EUDAT2020
- Roberto Sabatino, GEANT
This closed session is for those who have been invited to join one of the three Expert Liaison Groups (ELG) convened as part of the recently funded EU EDISON project. EDISON has been established to support the development of the data science career path into a recognised profession. The three ELGs represent employers, universities and data experts, and will meet to contribute to the projects aim of supporting and accelerating the process of establishing data scientist as a certified profession.
EDISON will run for 24 months and has seven core partners from across Europe. The project is coordinated by Yuri Demchenko at the University of Amsterdam in the Netherlands.
See project website for further details on the aims and objectives of EDISON. http://edison-project.eu
On Friday, Nov 13th, two meetings of the INDIGO-DataCloud project will take place immediately after the conclusion of the EGI Community Forum. These meetings, reserved to invited INDIGO-DataCloud participants, are the INDIGO Project Management Boards (PMB) in the morning and the INDIGO Technical Boards (TB) in the afternoon. These two bodies steer the technical development of the INDIGO-DataCloud project, whose goal is to create an open Cloud platform for Science. INDIGO-DataCloud is an H2020 project, funded from April 2015 to September 2017, involving 26 European partners and based on use cases and support provided by several multi-disciplinar scientific communities and e-infrastructures. The project will extend existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, PRACE and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANTs inter-federation policies, thus guaranteeing transparency and trust in the provisioning of such services. INDIGO will also provide a flexible and modular presentation layer connected to the PaaS and SaaS frameworks developed within the project, allowing innovative user experiences and dynamic workflows, also from mobile appliances.