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Showing 23 materials.
Why share your data?

Presented in two parts, this webinar will explore the value of sharing your data from an institutional and researcher perspective.

Our first speaker, Ewan Birney, is one of the directors of EMBL-EBI. He speaks about how the growth in data over the past decade has changed the way that we...

Scientific topics: Data management

Keywords: data sharing

Resource type: Video

RDMbites | FASTQ files in colorspace

FASTQ files derived from colorspace sequencing.

Keywords: FastQ, Data sharing

Resource type: Video

Helis Academy - Data Sharing, publishing and archiving

Basic knowledge of:
o Know what a repository is
o Characteristics of Data Sharing, Archiving and Publishing
o Knowledge of major platforms for Sharing, Archiving and Publishing

Hands on experience:
o Dataverse possibilities for sharing and publishing
o Designing requirements digital...

Keywords: data sharing, Data publishing, data archiving, data repositories, data management

Resource type: Slides

FAIR Data Stewardship - Data sharing, archiving and publishing

In this workshop we focus on three aspects of FAIR data stewardship: Data sharing, publishing and archiving. Many scientists have an insufficient overview over data services, roles and their responsibilities towards safe data sharing, archiving and publishing. Shedding light on these roles helps...

Keywords: Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication

Resource type: Slides, Training materials

Helis Academy course FAIR data stewardship 2021, Day 5, Archiving data

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 5, March 29, 2021

https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship

Topic: archiving data

Scientific topics: FAIR data, Data management

Operations: Data handling

Keywords: Data preserving, Data sharing

Resource type: Slidedeck

RDMbites | How to write a data sharing agreement for public use of data

How to write a data sharing agreement for public use of data

Keywords: data sharing, sensitive data

Resource type: Video

RDMbites | How to write a data sharing agreement between collaborators

How to write a data sharing agreement between collaborators

Keywords: data stewardship, data sharing, sensitive data

Resource type: Video

WEBINAR: Establishing Gen3 to enable better human genome data sharing in Australia

This record includes training materials associated with the Australian BioCommons webinar ‘Establishing Gen3 to enable better human genome data sharing in Australia’. This webinar took place on 16 February 2022.

Event description 

Australian human genome initiatives are generating vast...

Keywords: Bioinformatics, Genomics, Human genomics, Digital infrastructure, Gen3, Data sharing, Data management

Plant Phenotyping Data managment (MIAPPE)

This training material has been used in a two-day training workshop on data management organized by Elixir and the Wheat Initiative.

It provides an overview of current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity...

Scientific topics: Phenomics, Plant biology, Data management

Operations: Annotation, Formatting

Keywords: Plant Phenotyping, Data-format, data sharing

Resource type: Training materials

Helis Academy course FAIR data stewardship 2021, Day 2, Infrastructure for storing and sharing data

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 2, March 18, 2021

https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship

Topic: infrastructure for storing and sharing...

Scientific topics: Data management, FAIR data

Operations: Analysis, Data handling

Keywords: Data analysis, Data processing, Data sharing

Resource type: Slidedeck

Using the Norwegian e-infrastructure for Life Science and usegalaxy.no

The topic is on how you can use NeLS (nels.bioinfo.no) to store and share data, and to run analyses via customisable analysis workflows in usegalaxy.no. You will practice on transferring data between NeLS and usegalaxy.no, and to construct and run a complete sequence analysis workflow in...

Keywords: NeLS, Data storage, data sharing, Data analysis

FAIR data - Module 3 (Metadata)

Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données

Scientific topics: Bioinformatics, Biology, Data management

Operations: Data handling

Keywords: metadata, data annotation, life science standards, data sharing

Resource type: Slides

Helis Academy course FAIR data stewardship 2021, Day 1, Publisher requirements

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 1, March 17, 2021

https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship

Topic: publisher requirements

Scientific topics: FAIR data, Data management

Operations: Data handling, Analysis

Keywords: Data management planning, FAIR data, Data preserving, Data sharing

Resource type: Slidedeck

FAIR data - Module 4 (share and publish data)

Partager et diffuser les données. Le cadre juridique, les entrepôts et les licences sur les données

Scientific topics: Bioinformatics, Biology, Data management

Keywords: data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse

Resource type: Slides

Helis Academy course FAIR data stewardship 2021, Day 1, Institute requirements

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 1, March 17, 2021

https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship

Topic: institute requirements

Scientific topics: FAIR data, Data management

Operations: Data handling, Analysis

Keywords: Data preserving, Data reuse, Data management planning, Data sharing, FAIR data

Resource type: Slidedeck

Workshop FAIR & Data stewardship for the 2020 ITN COSMIC

This material is part of an introductory data stewardship workshop for the Marie Curie ITN COSMIC project (Combatting Disorders of Adaptive Immunity with Systems MedICine)

FAIR and data stewardship - September 18th, 2020
Organiser: PO5 (Dutch Techcentre For Life Sciences, DTL)
Setup: Virtual...

Scientific topics: FAIR data, Data management

Operations: Analysis, Data handling

Keywords: Data analysis, Data collection, Data management planning, Data preserving, Data processing, Data reuse, Data sharing

Resource type: Slidedeck

Workshop FAIR & Data stewardship for the 2020 ITN ProEVLifeCycle

This material is part of an introductory FAIR data stewardship workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)

FAIR and data stewardship - October 14th, 2020
Organiser: Dutch Techcentre For Life Sciences, DTL
Setup: Virtual meeting...

Scientific topics: Data management, FAIR data

Operations: Data handling, Analysis

Keywords: Data analysis, Data management planning, Data processing, Data sharing, Data collection, Data preserving, Data reuse

Resource type: Slidedeck

Workshop FAIR & Data stewardship for the 2021 ITN ProEVLifeCycle

This material is part of an follow up FAIR data stewardship workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)

FAIR and data stewardship - November 3th, 2021
Organiser: Dutch Techcentre For Life Sciences, DTL
Setup: Virtual meeting...

Scientific topics: Data management, FAIR data

Operations: Data handling, Analysis

Keywords: Data analysis, Data management planning, Data processing, Data sharing, Data collection, Data preserving, Data reuse

Resource type: Slidedeck

From Swab to Server: Testing, Sequencing, and Sharing During a Pandemic

Discover how sample strategies can affect scientific research and results:
Sampling is a critical part of research in any field. In studying a disease such as Covid-19, it’s imperative that your sample and sampling methods are best-suited to reflect accurate results.

Supported by expert...

Keywords: metadata, Sequencing, genomics, Genomic data, data quality, scientific quality assurance, data sharing, ethics, data ethics, public health, coronavirus, sars-cov-2, covid-19, data linkage

Resource type: FREE online course

Making sense of genomic data: COVID-19 web-based bioinformatics

Develop your understanding of bioinformatics and SARS-CoV-2 data analysis:
Although testing and sequencing capacity has improved, in low-and-middle-income countries (LMICs) bioinformatics analyses still represent a bottleneck in the implementation of effective viral surveillance...

Keywords: bioinformatics, NGS bioinformatics, Next generation sequencing data analysis, covid-19, sars-cov-2, coronavirus, data-analysis, data visualization, genomics, Genomic data, pipelines, Galaxy, nexstrain

Resource type: FREE online course

EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"

Topics covered:
- The diagnostic process and the types of genetic tests available for rare diseases
- The differences in rare genetic diseases patient pathways
- Technological advances for diagnostic research
- The role of collaborative studies and data sharing in rare diseases diagnosis
-...

Scientific topics: Rare diseases

Keywords: Rare Diseases & Research

Resource type: e-learning

ELIXIR Webinar: Requirements in data protection law and the upcoming General Data Protection Regulation (GDPR) implementation

Regina Becker (ELIXIR Luxembourg) will give an introduction into the upcoming General Data Protection Legislation (GDPR) that will come into force on 25 May 2018. The new regulation has considerable consequences for managing and storing personal data, imposing more responsibility on the data...

Keywords: GDPR

Resource type: Webinar

Semantic Standards

This video was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and serves as an introduction to the main standards used within the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics, Ontology and terminology

Operations: Data handling, Standardisation and normalisation

Keywords: Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD, Interoperability

Resource type: Video, Training materials, E-learning

Showing 3 content providers.
  • Workflow4metabolomics

    In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and...

    Workflow4metabolomics https://tess.elixir-europe.org/content_providers/workflow4metaolomics In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing, normalization, quality control, statistical analysis (Univariate, Multivariate PLS/OPLS) and annotation steps. Those modular and extensible workflows are composed with existing components (XCMS and CAMERA packages, etc.) but also a whole suite of complementary homemade tools. This implementation is accessible through a web interface, which guarantees the parameters completeness. The advanced features of Galaxy have made possible the integration of components from different sources and of different types. Thus, an extensible Virtual Research Environment (VRE) is offered to metabolomics communities (platforms, end users, etc.), and enables preconfigured workflows sharing for new users, but also experts in the field. /system/content_providers/images/000/000/659/original/17082156.png?1667905557
  • COG-Train

    COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2...

    4 training materials
    COG-Train http://tess.elixir-uk.org/content_providers/cog-train COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2 genomics. It aims to facilitate an increase in global genome sequencing and analysis capacity, reduce sequencing inequality and enhance pathogen surveillance. The programme’s training courses and development are built around our core concept of partnering with international researchers, public health experts and surveillance networks and providing open-access FREE training for all. COG-Train is funded by Wellcome Trust and the Foreign, Commonwealth & Development Office and led jointly by COVID-19 Genomics UK (COG-UK) consortium and Wellcome Connecting Science (WCS). Whole Viral Genome sequencing is an essential tool to identify and track the emergence and spread of SARS-CoV-2 variants as the COVID-19 pandemic progresses. Sequence data informs public health interventions and the further development of diagnostics, therapeutics and vaccines. There is inequity of access to pathogen sequencing worldwide, and COG-Train is committed to contributing towards efforts that close this gap. By building global partnerships with sequencing networks and scientists around the world, we hope to build a truly inclusive training programme that shares the many challenges faced in sequencing efforts, as well as highlighting the numerous success stories, and facilitating knowledge sharing. Outputs include a series of massive online, open-access courses on all aspects of SARS-CoV-2 sequencing based on WCS’s successful use of the FutureLearn platform, as well as week-long intensive virtual training courses, short expert workshops and concurrent distributed Classrooms, the latter of which utilises blended training. The distributed classroom model will be used to increase reach and impact of the learning materials, with training being delivered simultaneously in multiple classrooms across many countries. The training programme includes train-the-trainer components to help further build capacity in-country, rather than rely on a one-hit train and leave model. The COG-Train educational programme builds on the COG-UK values of data sharing, open collaboration, value for money, inclusivity and the prioritisation of public health impact. /system/content_providers/images/000/000/644/original/COG-Train_Logo.png?1657104279
  • eNanoMapper

    eNanoMapper developed a computational infrastructure for toxicological data management of...

    10 training materials
    eNanoMapper https://tess.elixir-europe.org/content_providers/enanomapper eNanoMapper developed a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs) based on open standards, ontologies and an interoperable design to enable a more effective, integrated approach to European research in nanotechnology. eNanoMapper supports the collaborative safety assessment for ENMs by creating a modular, extensible infrastructure for transparent data sharing, data analysis, and the creation of computational toxicology models for ENMs. eNanoMapper was funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 604134. /system/content_providers/images/000/000/092/original/logo.png?1528313779