Competences and Learning Outcomes

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1	Competences and skills targeted	Learning Objectives
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3	Knowledgeable of policies, opportunities and practices of OS in the SSH (e.g., open access, data storage and archival).	LO: Describe the current policy landscape that shapes knowledge production
4	Ability to recognize SSH-specific Open Science principles and to identify practices relevant to them at every stage of the research workflow.	LO: Identify SSH practices in Open Science
5	Knowledge of the research and the data life cycle for the SSH	LO: Recognise SSH specificities within the research workflow during knowledge production from an ethical, legal and methodological perspective.
6		LO: Describe what the research data management requirements and standards are
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8	Ability to make OS-compliant choices to collect, annotate and document data and software, create metadata, use relevant taxonomies, and preserve data (use existing repositories)	LO: Identify different types of metadata
9	Adequate capacity to implement SSH-specific FAIR principles.	LO: Identify different open file formats
10	Ability to assess FAIRness of existing resources	LO: Apply best practices for storing data securely and efficiently
11	Writing a basic DMP to understand data management at the beginning of the project	LO: Manage sensitive data to ensure privacy and compliance
12		LO: Apply open licenses and Data Usage rights
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14	Ability to apply open publication practices, such as publishing preprints, publishing in open access journals and platforms, ensuring data and code are available in open repositories to the extent possible.	LO: Design an Open Science publishing strategy for the dissemination of research results
15		LO: Identify the concepts involved in the practice of linking data and publications
16		LO: Choose appropriate tools to assess the FAIRness of data and other research outputs
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