Services for the European Open Science Cloud

Past Training Events

FitSM Foundation Training - Lisbon - 12 Oct 2018 (DI4R co-location)

Friday, October 12, 2018 - 08:15 to 17:30

IT 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 DI4R Conference taking place on Friday 12 October, ensuring no overlap with the main programme.

This is one-day Foundation level course provides an agnostic introduction to the basic IT service management concepts and terms, outlines the purpose and structure of FitSM standards and their relationship to other standards, and details the formal requirements defined within it.

IT Security Management (ISM) in EOSC-hub: policies and global trust

Thursday, October 11, 2018 - 11:30 to 16:00

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.

Planning early, following through: Data Management Planning in the EOSC

Tuesday, October 9, 2018 - 12:15 to 15:45

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.

Second International PhD School on Open Science Cloud

Monday, September 17, 2018 - 08:00 to Friday, September 21, 2018 - 18:10

The 2018 school is devoted to "Predictive Models" and, as the previous edition, will consist of a serie of lectures, seminars and hands-on sessions on several interconnected topics, as:

  • The world of Big Data 
  • ​Data acquisition, managing and handling 
  • Machine and Deep Learning 
  • Computing models and data analysis 
  • Cloud Infrastructures 
  • ML Research to Business 

More in details, Data Management will be explored in terms of the full potential for Cloud paradigma exploitation especially from the infrastructural point of view, presenting the state of the art, contemporary issues and challenges for future. Few realistic examples will be used to drive the discussion: Big Data and high throughput requests, streaming and security. Machine Learning will be also discussed in terms of Predictive Models, investigating specific data structures for ML technologies. 
The school is organised to serve scientific communities: High Energy Physics, Material Simulation, Meteorological and Environmental studies, etc.

ECAS training in 3rd ENES Workshop on Workflows funded by ESiWACE

Thursday, September 13, 2018 - 08:00 to Friday, September 14, 2018 - 13:30

The ESiWACE "Centre of Excellence in Simulation of Weather and Climate in Europe" project is organising the: 3rd ENES Workshop on Workflows.

The main focus of the workshop is on workflow requirements, challenges, tools and solutions for scientific research in the climate and weather domains. The workshop sessions will address specifically (i) Workflow software, (ii) Recent community experiences exploiting workflow tools  and (iii) data centre requirements for workflows.

EOSC-hub T7.3 team will deliver training on the ECAS service to the climate community during the workshop. 

OPENCoast training event at the IMUM 2018 workshop

Tuesday, September 11, 2018 - 09:00 to Friday, September 14, 2018 - 13:00

The 17th 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 11th to 14th, 2018. The workshop is organized by the Max Planck Institute for Meteorology (Hamburg) and the Alfred-Wegener-Institut for Polar and Marine Research (Bremerhaven).

Training of “EUDAT Tools” (Part of “Train-the-Trainer: Exploring tools for FAIR data”)

Friday, August 17, 2018 - 09:45 to 16:15

Diving into four services developed in the EUDAT project: for data discovery (B2FIND), data exchange (B2DROP), data publishing and preservation (B2SHARE) and data annotation (B2NOTE). These services are now maintained and provided by the EOSC-hub project, which has started in 2018 with the aim to provide an access and delivery channel for the services, software and data provided by e-Infrastructures and research communities across Europe, working towards the future European Open Science Cloud.

2018 CODATA-RDA School of Research Data Science, ICTP, Trieste

Monday, August 6, 2018 - 14:48 to Friday, August 17, 2018 - 14:48

The CODATA-RDA Research Data Science Summer School provides training in the foundational skills of Research Data Science.  Contemporary research – particularly when addressing the most significant, transdisciplinary research challenges – cannot be done effectively without a range of skills relating to data. This includes the principles and practice of Open Science and research data management and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualisation and modelling techniques, software development and annotation and more. We define ‘Research Data Science’ as the ensemble of these skills.

International Summer School “Data Management in Environmental & Earth Science Infrastructures: Theory & Practice” July 9 – July 13

Monday, July 9, 2018 - 09:00 to Friday, July 13, 2018 - 12:30

In recent years, one of the major challenges in the Environmental and Earth Science has been managing and searching ever larger volumes of data, collected across multiple disciplines. The ENVRIplus project investigated a collection of more than 20 representative environmental research infrastructures (RIs) from different areas. By examining these research infrastructures and their characteristics, a common data lifecycle was identified. The data lifecycle is structured in five phases: Data Acquisition, Data Curation, Data Publishing, Data Processing and Data Use. Many different standards, approaches, and tools have been developed to support the Data Lifecycle. In particular, modern semantic technologies provide a promising way to properly describe and interrelate different data sources in ways that reduce barriers to data discovery, integration, and exchange among biodiversity and ecosystem resources and researchers.

The course is built as a five-day summer school providing a unique insight into the contemporary debate on Data Management in the environmental and earth sciences.  Leading scientists and experienced technical specialists will address this topic from different angles, attempting to gather what we consider the most interesting perspectives of our time. We offer a cutting edge and high-quality programme, aimed at fostering a rich and lively intellectual exchange.

2018 UNIDATA User Workshop

Monday, June 25, 2018 - 11:00 to 11:45

The workshop will bring together community members, and distinguished speakers, and Unidata staff, to raise awareness of the current trends in the academic geoscience community with an emphasis on Data Proximate Analysis, Machine Learning and Data Analytics, Using GOES-16 Data, and Working with Ensemble NWP Output. Scientists and educators from the academic geoscience community will present ideas and techniques for making effective use of geoscience data and share activities, course materials, and ideas for improving education and research.

There will be hands-on workshops, a poster session, and time for informal discussions with presenters and Unidata developers.

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