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: Data management, Biology, Bioinformatics
Keywords: data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse
Resource type: Slides
FAIR data - Module 4 (share and publish data)
https://ifb-elixirfr.github.io/IFB-FAIR-data-training/modules/module4.html
http://tess.elixir-uk.org/materials/fair-data-module-4-share-and-publish-data
Partager et diffuser les données. Le cadre juridique, les entrepôts et les licences sur les données
Frédéric de Lamotte
Paulette Lieby
Lionel Maurel
Hélène Chiapello
Thomas Denecker
Jean-François Dufayard
Gautier Sarah
Julien Seiler
Data management
Biology
Bioinformatics
data sharing, Data publishing, legal framework, data warehouse, licensing, data reuse
Biologists
bioinformaticians
Biomedical researchers
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: Data management, Biology, Bioinformatics
Operations: Data handling
Keywords: metadata, data annotation, life science standards, data sharing
Resource type: Slides
FAIR data - Module 3 (Metadata)
https://ifb-elixirfr.github.io/IFB-FAIR-data-training/modules/module3.html
http://tess.elixir-uk.org/materials/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
Frédéric de Lamotte
Hélène Chiapello
Thomas Denecker
Jean-François Dufayard
Gautier Sarah
Paulette Lieby
Data management
Biology
Bioinformatics
metadata, data annotation, life science standards, data sharing
Biologists
bioinformaticians
Biomedical researchers
FAIR data - Module 1 (research data)
Research data and their centrality in the research process.
This material is mostly in French.
Keywords: metadata, Data Life Cycle, Reproducibility, Data management plan
Resource type: Slides
FAIR data - Module 1 (research data)
https://ifb-elixirfr.github.io/IFB-FAIR-data-training/modules/module1.html
http://tess.elixir-uk.org/materials/fair-data-module-1
Research data and their centrality in the research process.
This material is mostly in French.
Frédéric de Lamotte
Gautier Sarah
Hélène Chiapello
Jean-François Dufayard
Julien Seiler
Lionel Maurel
Paulette Lieby
Thomas Denecker
metadata, Data Life Cycle, Reproducibility, Data management plan
Biologists
bioinformaticians
Biomedical researchers
Keynote on Visual Design Principles
Martin Krzywinski (http://mkweb.bcgsc.ca/) gives a great primer on the key principles of effective visual design in biological sciences. During the talk he highlights the principles with examples from various peer-reviewed publications and discusses the practical aspects of effective figure...
Keywords: Genome, HCI, Information visualisation, Communication
Resource type: Video
Keynote on Visual Design Principles
https://bivi.co/presentation/keynote-visual-design-principles
http://tess.elixir-uk.org/materials/keynote-on-visual-design-principles
Martin Krzywinski (http://mkweb.bcgsc.ca/) gives a great primer on the key principles of effective visual design in biological sciences. During the talk he highlights the principles with examples from various peer-reviewed publications and discusses the practical aspects of effective figure design.This video was filmed and distributed with permission under a Creative Commons license.
Created at: VIZBI 2013.
Martin Krzywinski
Genome, HCI, Information visualisation, Communication
2017-01-31
Revise and Redraw—Visual Design Principles for Scientific Data
Martin Krzywinski's keynote from 1st BiVi in 2014. He discusses visual design principles and communicating effectively in pictures.This talk distills core concepts of information design into practical guidelines for creating scientific figures. We will explain how to generate visual vocabularies...
Keywords: HCI, Communication
Resource type: Video
Revise and Redraw—Visual Design Principles for Scientific Data
https://bivi.co/presentation/revise-and-redraw%E2%80%94visual-design-principles-scientific-data
http://tess.elixir-uk.org/materials/revise-and-redraw-visual-design-principles-for-scientific-data
Martin Krzywinski's keynote from 1st BiVi in 2014. He discusses visual design principles and communicating effectively in pictures.This talk distills core concepts of information design into practical guidelines for creating scientific figures. We will explain how to generate visual vocabularies with graphical elements, combine them into phrases, and package them into a complete figure, the visual equivalent of a paragraph. We show how effective designs for this composition are underpinned by conclusions from studies in visual perception and awareness.
Created at: 1st BiVi Annual Meeting.
Martin Krzywinski
HCI, Communication
2017-02-02