EOSC-Life offers a variety of trainings that benefit both our project participants and the research community as a whole.
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Open Life Science (OLS) is a 16-week long personal mentorship and cohort-based training for individuals who would like to develop and lead Open Research projects in their communities. Open Life Science received a grant from the 1st EOSC-Life Training Open Call to train and mentor EOSC-RI members under the collaboration name OLS for EOSC.
Read more about the success of this training programme so far
For each cohort, OLS opens a call for mentors and project leads. In each cohort, the participants of this programme will:
This programme provides individuals and teams with a unique opportunity to integrate best practices for open and reproducible research in new or ongoing projects. OLS also offers microgrants to the participants, supporting equitable participation (see this post for details). Please check out the graduation calls to learn more about projects from the previous rounds (announcement).
For more information, please contact the OLS team (team@openlifesci.org), visit their website, or join their public mailing list to receive updates.
RIs currently involved: ELIXIR, Open Life Science
Members of the broader EOSC-Life community and other interested parties are invited to join this free virtual workshop, co-organised by WP9 representatives from EATRIS and EMBL-EBI, and learn how to make training materials FAIR.
When: Wednesday, 3 May 2023, 14-17 CEST
Format: hands-on virtual workshop via Zoom
More information and registration link
This training school is organised by NEUBIAS Academy and EOSC-Life (with partial support through the 3rd Training Open Call).
When: 8-12 May 2023
Where: Porto, Portugal
More information and registration link
By making a spreadsheet interoperable the data becomes more accessible and more valuable, since it increases the chance that the same data can be (re)analysed and used to address other research questions. It also ensures research reproducibility.
In this course, you will learn how to format a spreadsheet in order to make it interoperable and compliant with the FAIR principles. You will learn how to handle spreadsheet data so that it is:
https://oceantraining.eu/moodle/course/view.php?id=90
Please note it is necessary to create an account with Oceantraining to access this course. This is a self-paced course (no facilitators support available). Since there is no evaluation, a certificate will not be issued.
The need to share data and research products is essential to enable research collaboration and promote wide access to data and data products. However, this can only be achieved if a common ‘language’ is used.
In this short course, we provide a short overview of what data standards are, where to find common (data) vocabularies and the importance of metadata.
https://oceantraining.eu/moodle/course/view.php?id=83
Please note it is necessary to create an account with Oceantraining to access this course. This is a self-paced course (no facilitators support available). Since there is no evaluation, a certificate will not be issued.
FAIR is an acronym that embodies a set of principles for sharing data. In this short course, we provide an introduction to the FAIR data principles, Open Science and Open data.
https://oceantraining.eu/moodle/course/view.php?id=29
Please note it is necessary to create an account with Oceantraining to access this course. This is a self-paced course (no facilitators support available). Since there is no evaluation, a certificate will not be issued.
Computational workflows allow for automation of multi-step analyses and support the reproducibility of analyses. This online tutorial provides a short introduction to workflows for the analysis of life sciences data, providing examples of platforms for creating workflows and the considerations required for developing them.
This webinar demonstrates how MICHA (Minimal Information for Chemosensitivity Assays) can facilitate the open data in chemosensitivity assays, by automatically extracting publicly available information for compounds (including primary and secondary targets, disease indications and physio-chemical properties) and by making the assay annotation as smoothly as possible.
By the end of the webinar you will be able to:
The recording can be watched anytime on the EMBL-EBI website
Improving data reproducibility for chemosensitivity assays using MICHA
Nextflow is an open-source workflow orchestrator that simplifies writing and deploying data-intensive computational pipelines on any infrastructure. This Nextflow online tutorial is for anyone who would like to start using Nextflow to develop and deploy their own workflows.
The videos and training materials used were developed and presented by Seqera Labs.
An Introduction to Nextflow online course on the EMBL-EBI Training website
The COVID-19 Data Portal was launched in April 2020 to bring together relevant datasets and tools to support data sharing and analysis in an effort to accelerate coronavirus research. The Portal enables researchers to upload, access, and analyse COVID-19-related reference data and specialist datasets.
This recording of a webinar held on 22 June 2022 provides an introduction to the COVID-19 Data Portal, describes the kind of data made available, and demonstrates how to access data. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology is useful.
By the end of the webinar recording you will be able to:
The recording can also be watched at any time via the EMBL-EBI website.
An introduction to the COVID-19 Data Portal on the EMBL-EBI Training website The COVID-19 Data Portal was launched in April 2020 to bring together relevant datasets for sharing and analysis in an effort to accelerate coronavirus research.
This course provides a short overview of what the COVID-19 Data Portal is, how to access it, and how to submit data.
COVID-19 Data Portal course link
This webinar was part of the CORBEL/EOSC-Life Webinar Series on Engaging your Community through Events & Training.
This webinar was part of the CORBEL/EOSC-Life Webinar Series on Engaging your Community through Events & Training.
This webinar was part of the CORBEL/EOSC-Life Webinar Series on Engaging your Community through Events & Training.
This course developed as part of the EOSC-Life project provides an introduction to cloud computing and shares practical tips on building, deploying, and running applications in cloud platforms, e.g. OpenStack, Google, Amazon, and Azure.
Learn how to compose and execute repeatable and reproducible modelling workflow with FATES for improving climate models. This course was supported and funded by the Galaxy Training Network, EOSC-Nordic, and EOSC-Life.
You can learn how to model the coronavirus pandemic in useful and meaningful ways. First, you learn how to make predictions using a pre-existing systems biology model; then, you can use these to pose “what-if” questions on a variety of issues, such as alternative governmental intervention strategies, the effects of masking, and accelerated testing and vaccination, in various phases of the pandemic.
Learn how by accessing the training materials available via FAIRDOMHub
Support for this course was provided by the EOSC-Life 1st Training Open Call.
On Feb 9, 2021, EMBL-EBI cloud consultants with de.NBI (German network of bioinformatics infrastructure) provided a training on advanced Kubernetes concepts with support from EOSC-Life.
You can access training and course materials for both basic and advanced Kubernetes concepts via this EMBL-EBI Cloud training page.
From 2020-2023, the EOSC-Life Training team offered funding through three Training Open Calls to support training activities providing expertise and guidance. This funding was used to organise successful and impactful training. These calls invited proposals for training on topics relevant to EOSC-Life. The proposals could be submitted for funding to support the following (not mutually exclusive) activities:
For further information about the Training Open Calls, please email the WP9 leaders.