The training library contains records to materials and resources that can be used to support training and the development of a harmonised understanding on FAIR related topics.
Items in the library include:
The initial selection of materials has been drawn from the FAIRsFAIR project and partners and related FAIR activities.
| Object | Date | Material Type | Format |
|---|---|---|---|
|
Module 5. Research data management service delivery
This module is a part of the introductory online course “Data Steward Training”. In this course learners will develop the skills and gain knowledge on how to be a successful data steward. By the end of this module, learners will: Understand different types of RDM services which their institution or organisation may need to provide. Be able to use the RISE model to plan and develop your RDM services. |
12/01/2022 | Course | pptx, docx, video |
|
Module 3. Open and responsible research
This module is a part of the introductory online course “Data Steward Training”. In this course learners will develop the skills and gain knowledge on how to be a successful data steward. By the end of this module, learners will: Understand the range of elements of responsible research ecosystems. Be able to identify different ways to sustain and support responsible research. |
12/01/2022 | Course | pptx, docx, video |
|
Module 2. Design training in easy steps
This module is a part of the introductory online course “Data Steward Training”. In this course learners will develop the skills and gain knowledge on how to be a successful data steward. By the end of this module, learners will: Understand the role of pedagogy and learning activities to teach effectively. Be able to critically assess the reasons for organising training activities. Be able to create training which meets their aims and the needs of their learners. |
12/01/2022 | Course | pptx, docx, video, Other |
|
Module 1. Introduction to RDM, FAIR and Open Science
This module is a part of the introductory online course “Data Steward Training”. In this course learners will develop the skills and gain knowledge on how to be a successful data steward. By the end of this module, learners will: Be able to explain the difference between FAIR and Open Data to researchers. Be able to make data FAIR by using a set of practical guidelines and tools. Understand the range of skills and knowledge associated with data stewardship. Be aware of different approaches to stewardship service provision. Be able to identify key elements that help make research data discoverable, accessible, interoperable and reusable. Be able to practise making data FAIR. |
12/01/2022 | Course | pdf, pptx, docx, video, Other |
|
The 2021 CODATA RDA Research Data Science Summer School - ICTP Trieste moodle image
The file is an image of the moodle course for the CODATA -RDA Research Data Science Summer School 2021. The school was held between September and November 2021 as a virtual online event hosted by the International Centre for Theoretical Physics. A programme for the summer schools is available at: http://indico.ictp.it/event/9638/material/4/0.pdf |
06/09/2021 to 19/11/2021 | Course | Other |
|
What can DDI do for you? An introduction to the DDI
Slides presented on the DDI course at the 11th Annual European DDI User Conference. The course provides an overview of the work products of the DDI Alliance. |
03/12/2019 to 04/12/2019 | Course, Presentation slides | pptx |
|
Data Steward Training
Created by FAIRsFAIR together with EOSC Synergy an introductory level online Data Steward Training course aimed at anyone looking to start a career in Data Stewardship or provide support to research staff with Research Data Management (RDM) activities. This record is for the version avaiable on the EOSC Synergy moodle learning platform. |
12/01/2022 | Course | Other |
|
CODATA-RDA Research Data Science Summer School 2020
Program for the CODATA-RDA Research Data Science Summer School held online in 2020. The programme page contains links to the slides and presentations. The School was aimed at alumni of previous events and covered topics relating to: research data management, open and responsible research, author carpentry, visualisation, machine learning, artificial networks and computational infrastructures. |
31/08/2020 to 11/09/2020 | Course, Presentation slides, Presentation recording | pptx, video |