Ten simple rules for making training materials FAIR
Sharing, reusing and reproducing data, software and other digital objects are the basis for open science practices, and to ease this the scientific community has developed the Findable, Accessible, Interoperable and Reusable (FAIR) principles. FAIR principles are however not so simple to...
Scientific topics: FAIR data
Operations: Data handling
Keywords: FAIR data, FAIR, ELIXIR-CONVERGE
Resource type: Video
Ten simple rules for making training materials FAIR
https://www.denbi.de/online-training-media-library/1015-ten-simple-rules-for-making-training-materials-fair
http://tess.elixir-uk.org/materials/ten-simple-rules-for-making-training-materials-fair
Sharing, reusing and reproducing data, software and other digital objects are the basis for open science practices, and to ease this the scientific community has developed the Findable, Accessible, Interoperable and Reusable (FAIR) principles. FAIR principles are however not so simple to understand and adopt, and may be quite convoluted for some.
The ELIXIR Training Platform in cooperation with other associated partner ZB MED has put together a Ten Simple Rules for Making Training Materials FAIR which simplify the FAIR principles by breaking them down into very practical steps. This webinar introduced these ten rules and discussed the challenges and ideas to put them into practice.
FAIR data
FAIR data, FAIR, ELIXIR-CONVERGE
PhD students
Post Docs
Undergraduate students
Slides from Data Management Planning Workshop
Slides from Data Management Planning online workshop for Life Science Projects for researchers at NTNU 2020-12-01
Scientific topics: Data management
Operations: Data handling, Data retrieval, Deposition
Keywords: Data management plan, data management
Resource type: Slides
Slides from Data Management Planning Workshop
https://zenodo.org/record/4300456
http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop-08010d67-d503-436b-95b9-6fe29f47ebba
Slides from Data Management Planning online workshop for Life Science Projects for researchers at NTNU 2020-12-01
Korbinian Bösl
Ane Møller Gabrielsen
Heine Skipenes
Anne Heidi Skogholt
Kjersti Rise
Hilde Eikemo
Data management
Data management plan, data management
PhD students
Professors
Post Docs
All postgraduates
Slides from Data Management Planning Workshop
Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020
Scientific topics: Data management
Operations: Deposition, Data retrieval, Data handling
Keywords: Data management plan, data management
Resource type: Slides
Slides from Data Management Planning Workshop
https://zenodo.org/record/3703307
http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop-1bb3798d-4e70-423c-87b6-82ac7e5e5c54
Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020
Korbinian Bösl
Solveig Fossum-Raunehaug
Data management
Data management plan, data management
PhD students
Post Docs
Professors
Slides from Data Management Planning Workshop
Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020
Scientific topics: Data management
Operations: Data handling, Data retrieval, Deposition
Keywords: Data management plan, data management
Resource type: Slides
Slides from Data Management Planning Workshop
https://zenodo.org/record/3713239
http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop
Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020
Korbinian Bösl
Beate Krøvel Humberset
Kjersti Enerstvedt
Tore Linde
Data management
Data management plan, data management
PhD students
Post Docs
Professors
Deep Learning using a Convolutional Neural Network
This course part focuses on a recent machine learning method known as deep learning that emerged as a promising disruptive approach, allowing knowledge discovery from large datasets in an unprecedented effectiveness and efficiency. It is particularly relevant in research areas, which are not...
Scientific topics: Machine learning
Resource type: Video
Deep Learning using a Convolutional Neural Network
https://www.youtube.com/playlist?list=PLrmNhuZo9sgZUdaZ-f6OHK2yFW1kTS2qF
http://tess.elixir-uk.org/materials/deep-learning-using-a-convolutional-neural-network
This course part focuses on a recent machine learning method known as deep learning that emerged as a promising disruptive approach, allowing knowledge discovery from large datasets in an unprecedented effectiveness and efficiency. It is particularly relevant in research areas, which are not accessible through modelling and simulation often performed in HPC. Traditional learning, which was introduced in the 1950s and became a data-driven paradigm in the 90s, is usually based on an iterative process of feature engineering, learning, and modelling. Although successful on many tasks, the resulting models are often hard to transfer to other datasets and research areas.
Morris Riedel
Machine learning
PhD students
Post Docs
Introduction to Machine Learning Algorithms
This course offers basics of analysing datasets with machine learning algorithms and data mining techniques in order to understand foundations of learning from large quantities of data.
Scientific topics: Machine learning
Resource type: Video
Introduction to Machine Learning Algorithms
https://www.youtube.com/playlist?list=PLrmNhuZo9sgbcWtMGN0i6G9HEvh08JG0J
http://tess.elixir-uk.org/materials/introduction-to-machine-learning-algorithms-b1434ce7-b934-4b48-af7c-0274e2c37815
This course offers basics of analysing datasets with machine learning algorithms and data mining techniques in order to understand foundations of learning from large quantities of data.
Morris Riedel
Machine learning
PhD students
Post Docs
