Carole Goble

Presentations and events associated with work in FAIR Guiding Principles for Computational Workflows.

The SDR is concerned with digitisation pipelines for digital access to natural history collections

The SDR integrate machine learning, Artificial Intelligence, and human approaches to extract, enhance, and annotate data from digital images and records at scale. Many collections-holding institutions still need to digitise the bulk of their collections. Digitisation takes time and resources. One of the major challenges in digitising massive collections is finding ways of ensuring high-quality ...

A team that gathers the workflow and workflow-related training activities related to ELIXIR, run by ELIXIR or affiliated to ELIXIR; its Hub, Nodes, platforms and communities

The Common Workflow Language (CWL) is an open standard for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, High Energy Physics, and Machine Learning.CWL is developed by a multi-vendor working group consisting ...

Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org

Keynote JOBIM 2021 (French Bioinformatics Conference)

FAIR Computational Workflows https://jobim2021.sciencesconf.org/ 8 July 2021

Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for ...

EOSC-Life FAIR hackathon 2021 Session 3: Workflow & Tools FAIRification

So, you want to build a pan-national digital space for bioscience data and methods? That works with a bunch of pre-existing data repositories and processing platforms? So you can share FAIR workflows and move them between services? Package them up with data and other stuff (or just package up data for that matter)? How? WorkflowHub (https://workflowhub.eu) and RO-Crate Research Objects (https://www.researchobject.org/ro-crate) that’s how! A step towards FAIR Digital Objects gets a workout. Keynote ...

Keynote presented at WORKS 2021 https://works-workshop.org/

16th Workshop on Workflows in Support of Large-Scale Science November 15, 2021 Held in conjunction with SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis

Keynote at German Conference on Bioinformatics 2021 https://gcb2021.de/ FAIR Computational Workflows Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the ...

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 results of the mentimeter for the FAIR workflows section of the EOSC-Life 3rd Open Call projects pre-hackathon induction