F2F meeting

DEEP-Hybrid-DataCloud project aims to promote the integration of specialized, and expensive, hardware under a Hybrid Cloud platform, so it can be used on-demand by researchers of different communities.

XDC project aims at address high-level topics ranging from the federation of storage resources with standard protocols, the policy driven data management based on Quality of Service, data lifecycle management, metadata handling and manipulation, data preprocessing and encryption during ingestion, and smart caching solutions among remote locations.

This training session will provide practical overview on the solutions implemented both at the level of IaaS, PaaS and SaaS within the projects: INDIGO-DataCloud, eXtreme DataCloud (XDC) and DEEP-HybridDataCloud.

T Service Management is a discipline that helps provide services with a focus on customer needs and in a professional manner. It is widely used in the commercial and public sectors to manage IT services of all types, but current solutions are very heavyweight with high barriers to entry.

FitSM is an open, lightweight standard for professionally managing services. It brings order and traceability to a complex area and provides simple, practical support in getting started with ITSM. FitSM training and certification provide crucial help in delivering services and improving their management. It provides a common conceptual and process model, sets out straightforward and realistic requirements and links them to supporting materials.

FitSM is the reference framework being used in both EOSC-hub and EOSCpilot projects, among other research infrastructures as well. Through FitSM, the EOSC-hub project aims at conducting effective IT service management in a federated environment and achieving a baseline level of ITSM that can act in support of ‘management interoperability’ in federated environments where disparate organisations must cooperate to manage services. 

In addition, participants have an opportunity to receive a formal certification backed by certification authority ICO-Cert for anyone successfully passing the exam (20 multiple choice questions, 13 required to pass). Both the costs of the training and the exam is covered and offered by the EOSC-hub project for free.

The training is co-located with the 2nd EOSC-hub Week taking place on Tuesday 9 April 2019, ensuring no overlap with the main programme.

EGI Notebooks is a new service from the EGI e-infrastructure collaboration, providing a user-friendly and highly flexible Jupyter-based hosted environment for researchers to develop and share data analysis and visualisation ‘notebooks’. Notebooks can contain programming codes in various languages, HTML scripts, dynamic visualization and equations as well as images and explanatory text that provide guidance and context for the captured data analysis workflows. Through the notebooks users can easily share concepts, ideas and working applications, containing the full analytical methodology, connections to data sources, visualizations, and descriptive text to interpret those data. With the Binder ‘extension’ of Jupyter one can turn a Github repository with Jupyter notebooks into an executable environment, making code, visualisation and documentation immediately reproducible and reusable by anyone, anywhere. Jupyter and Binder are becoming pillars for Open Science.

The Summer School will be organized by the Center of Research Excellence for Data Science and Advanced Cooperative Systems, Research Unit for Data Science, from September 24-28, 2018 in Split, Croatia. 

#NGSchool (Next Generation School) is a platform to share the expertise in the field of Next Generation Sequencing Data Analysis and general Bioinformatics. Our aim is to deepen and broaden knowledge and skills in Bioinformatics of all participants. Our activities are dedicated to young researchers with at least basic background in biology/math/informatics that are willing to improve their Bioinformatics and NGS data analysis skills. We select participants primarily from less developed countries such as Central & Eastern European Countries.

So far we have organised 3 summer schools and co-organised number of local and satellite events. Summer School in Bioinformatics & NGS Data Analysis is our flagship annual event. It connect experts and early stage researchers working with NGS data, in order to exchange their expertise and learn one from another. In addition, starting from 2018, we started organising number of local events.

Why is it important?

We are living in very fascinating moment in the history, so-called Genomics Era, when obtaining the whole genome sequence of any individual becomes trivial task at affordable cost. Personalised medicine, a health-care system in which medical decisions and health-care products are tailored for the individuals based on their predicted response or risk of disease, is just around the corner. It is crucial to train the future experts, that will drive this revolution also in our region.

How many users does usually partecipate?

Our events are attended by 20-70 people, majority of those are PhD students and Post-docs, but researchers at all career stages are welcome! Summer schools usually welcome 40-60 people, of those 1/3 are speakers. For example, #NGSchool2018 will be attended by 60-70 participants including 20-30 speakers/hackathon mentors.

This VIRGO Winter School is organised in the framework of the EOSC-hub H2020 project.

The target audience for this school is VIRGO members, postdocs, and senior researchers interested to improve their skills on data management tools and high-level solutions for supporting the VIRGO experiment.

Hands-on sessions will follow each theoretical talk, allowing to practice what has been presented.

The 17^th International workshop on Multi-scale (Un)-structured mesh numerical Modeling for coastal, shelf, and global ocean dynamic will be held in Hamburg, Germany, from September 11^th to 14^th, 2018. The workshop is organized by the Max Planck Institute for Meteorology (Hamburg) and the Alfred-Wegener-Institut for Polar and Marine Research (Bremerhaven).

Background
The Open Science paradigm strongly contributes towards lifting the barriers that restrict access and re-use of research data. Aligned with the paradigm, funders and agencies, at European and national level, increasingly promote the adoption of strategies of FAIR and open research data. Such strategies, covering all datasets utilised or generated in the course of a research project, are embodied in the Data Management Plan (DMP).

Why are DMPs important ?
 Data Management Plans are important for individual researchers, community or institutional data managers and fundholders. Most H2020 proposals now require a DMP as specified in Article 29.3 of the Grant Agreement, and many countries also require this for nationally funded research. The aim of a DMP is to: - engage researchers to plan sustainable, result-oriented and cost-effective research strategies during and beyond the project lifetime, - enable research communities to discover and utilise invaluable, trustworthy data and, - allow funders assess their strategy and actions in a multitude of directions. When applicable, open access to the data, complemented with effective citation mechanism, guarantees visibility of the scientific results, for the benefit of the researcher, of the scientific community and of the society in its whole.

The aims of IT Security Management (ISM) include the management of security risk, the maintenance of confidentiality, integrity and availability of services and data, the handling of security incidents, the prevention of incidents by handling vulnerabilities, and the definition of best practice together with appropriate dissemination and delivery of training courses. In the world of Open Science and in view of the ever-changing landscape of security threats on the Internet, ISM is an ongoing global challenge. Experience has shown that security and trust is best tackled in a collaborative way, especially as the Infrastructure security teams have to trust each other, to allow for the proper handling of those security incidents which spread between Infrastructures.

The EOSC-hub proposes a new vision to data-driven science, where researchers from all disciplines have easy, integrated and open access to the advanced digital services, scientific instruments, data, knowledge and expertise they need to collaborate to achieve excellence in science, research and innovation.

The process towards the integration of the different security activities will be supported through the development of harmonized policies and procedures, to ensure consistent and coordinated security operations across the services provided in the catalogue.

Coordinating the Operational Security in such a broad environment is a challenge. At the same time it offers many possibilities of a closer collaboration of the already existing security teams active in the distributed infrastructures.

The expertise built, and tools developed in response to specific problems in the different infrastructures can be used in cross-infrastructure co-operations. In this presentation we will present examples for possible collaborations in: Incident Prevention Incident Handling/Coordination * Security Training and Exercises