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The last NI4OS Train the Trainers event focuses on IT Service Management and its relevance to the EOSC service management. The webinar series goal is to study in more details the processes related to IT Service Management and how they will be applied in the NI4OS project. We start with FitSM as one of the standards used for IT service management. Following the presentations from our guests from EGI Foundation, we then continue with NI4OS specific topics to discuss how the FitSM processes will be implemented in the NI4OS pre-production environment and how service management can be related to FAIR data and used to manage data repositories.

EGI Notebooks is a new service from the EGI e-infrastructure collaboration, providing a user-friendly and highly flexible Jupyter-based web environment for researchers to develop and execute 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 to provide guidance and context for the data analysis. Through notebooks users can easily share concepts, ideas and working applications, capturing the full analytical methodology, connections to data 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 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.

The material covered here is fundamental to all areas of Data Science and hence open to researchers from all disciplines that deal with significant amounts of data. The focus is provide a practical introduction to these topics with extensive labs and seminars.

TOPICS:

• Open Science
• Introduction to Unix Shell
• Programming for Analysis
• Git
• Research Data Management
• Author Carpentry
• Data Visualisation
• Information Security
• Machine Learning
• Computational Infrastructures

The School is multi-disciplinary and targeted at postgraduate researchers including bachelor degree or equivalent in fields such as physics, statistics, computer science, computer vision, biology, medicine,engineering working at any research institute, with experience in data analysis, in computing or in related fields.

The Third School on Open Science Cloud will be held in Bologna, 16-20 September 2019 and is organised by INFN, University of Perugia and University of Bologna.

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 need for professionally managing sensitive data is growing in science, therefore we invite you to join our webinar on good practices, tips & tricks, as well as cloud-based services for researchers.

Presenters:

• Iryna Kuchma (OpenAIRE) and Gergely Sipos (EOSC-Hub, EGI Foundation) will introduce the projects
• Elli Papadopoulou (OpenAIRE) will speak about Data Privacy
• Abdulrahman Azab (EOSC-Hub, University of Oslo) will talk about Sensitive Data Services. 

#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.

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.

About the workshop​

During this event, we will explore these issues. First, Danny Kingsley from the University of Cambridge will speak about research integrity and research reproducibility as the drivers for better data stewardship practices. This will be followed by case studies from TU Delft and from other organisations about the practical implementation of data stewardship. Subsequently, participants will be invited to take part in smaller focus groups and workshops on the topic. Finally, Kim Huijpen from the Association of Universities in the Netherlands (VSNU) will speak about rewarding researchers for doing quality research.

Who should come?

• Research support staff caring about embedding good data management practices
• Researchers interested in hearing about the benefits of good data management
• Senior administrative staff
• Funders and policy makers
• Anyone willing to contribute to the discussion about cultural change in data management

Programme

• 09.30 - 10.00: Registrations and coffee
• 10.00 - 10.10: Opening remarks by Alastair Dunning
• 10.10 - 10.55: Keynote speech by Dr Danny Kingsley from the University of Cambridge: The ‘end of the expert’: why science needs to be above criticism
• 10.55 - 11.05: Vision for Data Stewardship at TU Delft by Marta Teperek
• 11.05 - 11.30: Coffee break
• 11.30 - 12.30: Case studies - Data Stewardship at TU Delft
• 12.30 - 13.15: Lunch break + signing up for interactive sessions
• 13:15 - 13:30: Maximizing flexibility and cooperation: Governance of Data stewardship at Utrecht Universityby Martine Pronk, Utrecht University Library
• 13:30 - 13:45 Institutional data stewardship changes the RDM landscape: experiences from the Radboud University, Inge Slouwerhof, Radboud University Library
• 13:45 - 14:00 Research Data Management at Stockholm University by ‘piecemeal social engineering' by Joakim Philipson, Stockholm University Library
• 14:00-14:10 Q&A

• 14.15 - 15.15: Parallel interactive sessions
  Carrot or stick, my role as a Data Steward in Research data management
  Data Management and Academic Integrity
  Software reproducibility - how to put it into practice?
  Why is this a good Data Management Plan?
  Tagging privacy-sensitive data according to the new European privacy legislation: GDPR DataTags – a prototype
• 15.15 - 15.40: Reports from interactive sessions
• 15.40 - 16.00: Coffee break
• 16:00 - 16:30: Keynote speech by Kim Huijpen from the Association of Universities in the Netherlands (VSNU): Giving scientists more of the recognition they deserve
• 16.30 - 16:50: Closing keynote by Ingeborg Verheul from the National Coordination Point Research Data Management (LCRDM): Data Stewardship? Meet your peers!
• 16.50 - 17.00: Closing remarks by Wilma van Wezenbeek, TU Delft Library Director
• 17.00 - 18.00: Drinks reception
• 18.00: Conference close