Events

This is human trafficking vecabulory that explains how terms are used to explore the human trafficking context in Ethiopia.

ConceptScheme URI https://workflowhub.eu/events/11 PREFIX vocab https://workflowhub.eu/events/11 dct:title Human Trafficking Vocabulary dct:description Welcome to Human Trafficking Vocabulary dct:creater https://orcid.org/0000-0002-5115-0231

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EOSC-Life 3rd Open Call Biohackathon induction workshop

Reproducibility is a cornerstone of good scientific practice. Thanks to funding provided by ELIXIR Training Platform Task 2, we have brought together the biggest names in bioinformatics workflow management for a 3 day practical workshop. We have presentations from the development teams of CWL, Snakemake, Nextflow, nf-core and more. If you want to learn more about the workflow management concepts that will be addressed in this workshop, check out these articles:

Workflow systems turn raw data into ...

virtually co-located with the 17th IEEE International Conference on eScience (eScience 2021)

This discussion-focused workshop examines how the FAIR (Findable, Accessible, Interoperable, Reusable) principles are and can be applied to eScience research objects beyond data. Invited speakers will present the idea of FAIR and its application to objects such as software, workflows, machine learning models, and executable notebooks, and where FAIR is going. Invited talks will be followed by a panel ...

The goal of this workshop is to build capacity in SARS-CoV-2 data analysis and data management, including data submission to ENA. After the workshop, all participants will be able to upload viral sequencing data, call all variants, create a variety of reports and create consensus alignments.

It will be a 4-day event introducing scalable and reproducible SARS-CoV-2 data analysis with Galaxy. The sessions will be pre-recorded and provided in advance. During the workshop, there will be live support ...

The public and the press already expect to assess the trustworthiness of research relevant to pressing social and public health issues in terms of transparency. While widely recognized as a critical component of research reproducibility in principle, the promise of making research fully transparent—and scientific claims easier to evaluate—via reliable provenance has yet to be realized in full. In particular, it is still far from routine for researchers in the natural, social, and data sciences ...

The FAIR Principles have two aspects: They were written specifically for research data and they also claim to be general for all research objects. In practice, this means that while the high-level concepts (findable, accessible, interoperable, and reusable) are generally applicable, the details of the wording, their context, and how they are applied is not. Different groups have been studying how the FAIR principles could be applied to other types of research objects, such as research software, ...

Date: Friday 11 June 2021, 10.00 CEST

Chairs: Carole Goble, Stian Soiland-Reyes, Salvador Capella-Gutiérrez, José María Fernández González and Frederik Coppens

In Life Sciences, experimental laboratory procedures usually have a lifespan since their first inception, wide adoption along the years, and later being superseded by others. The same applies to the analysis of the generated experimental data. Workflow Lifecycle represents the different states of workflows during their “life”. This workshop ...

Scientific workflows capture precise descriptions of the steps and data dependencies needed to carry out computational experiments in many areas of Science, ranging from Astrophysics to Bioinformatics or Geosciences. In order to promote long-term usability and uptake by the scientific community, workflows (as well as the tools that integrate them) should become findable, accessible, understandable, reusable, and citable so that author’s credit is attributed fairly and accurately.

The work on ...

In the age of computational science, researchers in the life sciences – just as in other domains – regularly face the need of composing several individual software tools into pipelines or workflows that perform the specific data analysis processes that they need in their research. For over 20 years now, dedicated scientific workflow management systems have been supporting scientists in this task, and they continue to gain popularity. In fact, recent years have seen significant progress in the ...