Within the 3rd EOSC-Life Training Open Call, seven proposals have been awarded, and training will be developed this spring. These projects support the efforts to maximise collaboration among all EOSC-Life RIs.
WP9 is pleased to announce the following successful proposals:
Project 1: Multi-omics: Technologies, Quality Assessment, FAIRification and Data Analysis
Description: Personalised Medicine (PM) has the potential to aid routine clinical decision-making processes, minimise harmful side effects, ensure more successful outcome(s), assure efficient patient management, and – at the same time – provide an economic advantage. However, the integration of multiple different types of -omics data is a current bottleneck in PM.
Truly integrated multi-omics in the PM pipeline requires the facilitation of the process of data sharing, federated data analysis, and integration.
The aim of this project is to build capacity in the application of the EATRIS-Plus Multi-omics Toolbox to address the major pitfalls and main challenges in the application of multi-omics data in PM.
Project 2: Open Phytoliths Community Training Workshops and E-learning Courses
Lead: Universitat Pompeu Fabra
Description: This project aims to upskill participants in open research skills to increase the quality and reusability of phytolith research and related disciplines such as archaeology, palaeosciences and plant sciences. Six hands-on workshops will be run on open access publishing and research outputs, using repositories, ontologies and standard vocabularies, implementation of FAIR Guidelines for phytolith research, and two workshops on Github basic and advanced skills. The materials from all workshops will be archived as self-study courses on the website. Translation will also be provided during workshops, and training materials will be translated into multiple languages.
Project 3: FAIRifying Sensitive Data: Technical, Legal and Practical Considerations in the Biomedical Field
Lead: Istituto Superiore di Sanita (ISS)
Description: The training will be focused on technical and legal aspects on sharing biomedical data, in particular on how to make biomedical data FAIR. It is organised by the Istituto Superiore di Sanità (ISS) in close collaboration with ECRIN, BBMRI (for the ELSI aspects) and ELIXIR-IT (for their training expertise). The course hosted at ISS will be composed of 3 sessions each 2 days: (i) an introduction into Research Data Management Topics like the EOSC principles, Research Data Management policies, GDPR, research integrity and data sharing aspects, (ii) the importance of FAIR Data Principles in Healthcare & Life Sciences, (iii) working group “Hands-on” activity aimed to demonstrate the potential and practical implications of FAIR in practice.
Project 4: Defragmentation TS2: Bringing Image Analysts to the Cloud!
Description: This training school organised by NEUBIAS Academy and EOSC-Life will be held on 8-12th May 2023 in Porto, Portugal. This course aims to train the new generation of bioimage analysts on workflow-based image analysis and new integrated methods for cloud computing applied to life sciences. It will be built around the four pillars of bioimage analysis: components, workflows, infrastructures, and benchmarking; and the use of high-computing and/or cloud computing platforms to give the participants know-how to deal with analysis requiring intensive computational power and tools to train other scientists.
Project 5: Integration of the Sex and Gender Dimension in Life Sciences Research
Description: This project will develop the contents and deliver one course (hybrid format) to teach participants (future trainers) how to introduce a sex and gender perspective into life science projects and broaden their technical knowledge and skills in the area of sex and gender biases in life sciences research, being exposed to different realities in European institutions. It uses a train-the-trainer format, and the materials created will be made available free of cost to the scientific community. The training will provide methodological tools and case studies, illustrating a successful sex and gender integration into key research and innovation areas.
Project 6: Galaxy Single Cell Training for Researchers
Lead: The Open University
Description: In this project, multiple single-cell analysis workflows will be built by using the freely accessible and user-friendly Galaxy project interface. Accompanying training materials will be created to walk users through this analysis on the interactive Galaxy training platform. These tutorials will provide multi-language analysis (i.e. using either Seurat/R-based functions or Scanpy/Python-based functions) as well as batch correction comparisons to ensure usability and accurate application by non-programmers. Together, these resources will help bench biologists and clinicians analyse single-cell data more effectively without requiring programming skills.
Project 7: FoRR Reuse – Fundamentals of Reproducible Research E-learning Reuse
Description: This training project will generate two e-learning courses on “Fundamentals of Responsible Research”, one designed for biomedical PhD students and one for professionals, in translational research. This type of research is carried out to translate research ideas into medical benefits for patients and society, which requires the involvement of many disciplines and scientific approaches. Since human health is involved, the research needs to be carried out in responsible and reproducible ways. This project will use existing e-learning materials on responsible and translational research (including proper experimental design, statistical analysis, methodological transparency and ethical research) and adapt and package them to address the specific training needs of PhD students and professionals, respectively.
For further information, please email the WP9 leaders.
Watch this (website) space for training announcements!