Training of Trainers: Social Sciences and Humanities

Course: The Open Science and Research Data Management

Date/Time: when it will be offered

Coming soon

Location (Online)

The training will be held online via Zoom. - Zoom links to be provided to registered participants closer to the date.

Training Description

The main goal of this training is to introduce notions of Open Science (OS), Research Data Management (RDM) and FAIR principles along with notions of training conceptualisation and delivery. The training material will take you through the steps of both the research cycle and training design. 

• The training is constituted of four modules.Three of them follow the research life cycle. This means that you will learn about Open Science concepts and practices, Research Data Management and  FAIR principles in light of Social Sciences and Humanities specificities. The first module of the training is an introduction of the Open Science environment to SSH researchers.
• The second module focuses on what we call active research. It presents elements related to different stages of active research, such as handling data, attributing licenses, etc.. 
• The third module focuses on the preservation and dissemination of research outcomes. 
• The last module of the training presents guidelines for trainers, focusing on aspects of training design.

Target Audience

People interested in becoming OS and RDM trainers of Social Sciences and Humanities Researchers

Expertise/ Skill level: Beginner Primary Language: English Access Cost: No

Prerequisites:

No prior knowledge is required to follow the training, however see Resources and Materials to prepare beforehand

Duration

This training lasts about 15 hours (3 hours for each module and 2 hours for activities).

Learning Outcomes

Module 1

• Describe the current policy landscape that shapes knowledge production in SSH
• Identify Open Science practices in SSH 
• Recognise SSH specificities within the research workflow during knowledge production from an ethical, legal and methodological perspective
• Describe  what the research data management requirements and standards are

Module 2

• Identify different types and standards of metadata
• Select relevant open file formats
• Apply best practices for storing data securely and efficiently
• Manage sensitive data to ensure privacy and compliance with relevant national or international regulations
• Apply open licenses and Data Usage rights

Module 3

• Design an Open Science publishing strategy for the dissemination of research results
• Identify the various practices of linking data and publication
• Choose appropriate tools to assess the FAIRness of data and other research outputs

Module 4

• Recognise the three stages of backward design 
• Write learning outcomes 
• Design a learning path

Keywords

SSH, Open Science, data, learning outcomes

Resources and Materials

• Folder with Presentations and Exercises
• Internet connection

Author(s)

Fotis Mystakopoulos , Karla Avanco , Irakleitos Souyioultzoglou , Arnaud Gingold , Carol Delmazo , Elena Sokolova

Trainer(s)

• Fotis Mystakopoulos , Karla Avanco ,

Contact information

Please email us at:

• fotis.mystakopoulos@operas-eu.org
• karla.avanco@openedition.org

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

To be added when material will be uploaded to Zenodo.

Accessibility Mission

Skills4EOSC is dedicated to ensuring that all produced learning materials are accessible to as many visitors as possible regardless of their ability or technology. We have an active commitment to increasing our learning materials accessibility. The main standards that we aim to comply with are WCAG v.2.1 Level AA criteria and PDF/UA (ISO 14289).

Acknowledgement

These learning materials have been developed by following the FAIR-by-Design Methodology.