Table 2. Learning outcomes for TRIPLE Open Science training events.
TRIPLE, Transforming Research through Innovative Practices for Linked Interdisciplinary Exploration; EOSC, European Open Science Cloud; FAIR, Findable, Accessible, Interoperable, Reusable; SSH, Social Sciences and Humanities.
| No. | Title of the training |
|---|---|
| 1 | CLARIN Café on the Rights of Data Subjects in Language Resources |
| Learning
outcomes |
● Explain what rights the GDPR grants to data subjects.
● Identify if these rights are limited when personal data is processed for the purpose of language research. ● Identify who is responsible for handling data subjects’ requests related to the exercise of their rights. |
| 2 | The Open Access Publishing Platform Open Research Europe (ORE) |
| Learning
outcomes |
● Explain what the ORE publishing platform is.
● Identify the benefits the ORE platform provides to researchers. ● Use the ORE platform in detail. ● Discuss how the ORE platform will facilitate compliance to European Open Access terms of funding. |
| 3 | EOSC Onboarding |
| Learning
outcomes |
● Explain the minimum criteria to become a provider and the requirements to onboard services into the EOSC Portal.
● Apply the process of onboarding services into the EOSC Portal. ● Gather information from the TRIPLE project to be taken into account for the next iteration of the Portal development. |
| 4 | EOSC - State of the Art and Perspectives |
| Learning
outcomes |
● Explain the latest stages of the EOSC development.
● Describe the recent changes in the EOSC governance. ● Identify the next steps for the EOSC implementation. ● Contribute to the EOSC. |
| 5 | FAIR Data in the Social Sciences and Humanities |
| Learning
outcomes |
● Describe how research data is defined in SSH.
● Demonstrate the importance of FAIR principles in the management of research data in SSH. ● Apply FAIR principles to data and implement them in SSH. |
| 6 | EOSC Architecture |
| Learning
outcomes |
● Explain the principles of the EOSC Architecture.
● Describe the main components of the EOSC Architecture. ● Analyse interoperability issues in the EOSC Architecture. ● Name the projects and further developments of the EOSC Architecture. |
| 7 | Visual Data Discovery for Social Sciences and Humanities |
| Learning
outcomes |
● Identify ways in which knowledge maps and streamgraphs can help researchers overcome discovery challenges.
● Visually explore research topics and recognize trends in research with GoTriple. ● Produce and interpret knowledge maps and streamgraphs on the GoTriple platform. |
| 8 | The Importance of User-Centred Design for Open Science |
| Learning
outcomes |
● Understand the importance of user centred design in the Open Science perspective.
● Synthesise the main phases of the iterative design process. ● Define user requirements, scenarios and personas. ● Understand the main differences and complementarities between the cognitive walkthrough method and the artefacts ecology mapping method. |
| 9 | The GoTriple Trust Building System |
| Learning
outcomes |
● Create a profile on the Trust Building System (TBS) application.
● Post a request. ● Interact with peers (invitations, introductions, group creation). |
| 10 | Multilingual Vocabularies for SSH |
| Learning
outcomes |
● Explain what SSH vocabularies are and why they are so important.
● Describe how to create a multilingual SSH vocabulary. ● Identify management needs related to the large variety of vocabularies in the SSH. ● Summarise how to build an interoperable infrastructure for vocabularies. |
| 11 | The GoTriple Pundit Annotation Tool |
| Learning
outcomes |
● Understand the purposes and functionalities of the Pundit Annotation Tool.
● Use Pundit in the SSH research context. |
| 12 | Copyright and Academia in the Digital Era |
| Learning
outcomes |
● Understand what changed in the digital era regarding copyright.
● Summarise briefly international and European legislation. ● Explain the principles of ownership and economic exploitation of academic works. |