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Supporting EOSC
Co-funded by the European Union
Co-funded by UKRI

Open Science & RDM Pilot Training wraps up for Social Science & Humanities

| Sara Di Giorgio | news

We are excited to announce the successful conclusion of the pilot training program focused on Open Science and Research Data Management (RDM) in the Social Sciences and Humanities (SSH), led by OPERAS, a partner of Skills4EOSC.

The pilot was delivered as a series of three subsequent sessions (with a total duration of 9h), which included presentations by the Skills4EOSC trainers, discussions with the participants, and breakout sessions that enabled the trainees to discuss in more detail the practices and workflows presented in the training materials.

 A total of 21 trainees, with a background in different SSH disciplines, attended the pilot.

The pilot comprises three modules, which correspond to the main stages of the research life cycle (planning, active research and dissemination) and address the skills and competencies identified in the Minimum Viable Skillset for Researchers, which were adapted to the SSH disciplines. The training materials focus on discipline-specific practices and guide the fundamental aspects of Open Science, FAIR data, and RDM.

More specifically, the first module introduces the Open Science ecosystem, with specific reference to the particularities of research in the Social Sciences and Humanities from an ethical, legal and methodological perspective. Moreover, it provides an overview of the research data management requirements and standards and describes the ways these affect the SSH Research Framework. The second module focuses on active research and more technical workflows related to the FAIR Principles, such as data collection and processing, preservation and documentation. It guides trainees through the process of identifying, handling, curating and documenting research data in a FAIR-compliant way. The third module focuses on the evaluation, preservation and dissemination of the research outcomes and suggests workflows for assessing the FAIRness of data and other research outputs, linking data and publications as well as adopting OS-compliant publication practices. Additional training materials that address pedagogical considerations on training delivery have also been integrated into this concluding module.