Data Management Plan

The Data Management Plan (DMP) outlines the strategies for managing data within the project and underscores the crucial role of data in advancing the project’s objectives. By adhering to principles of FAIR data (Findable, Accessible, Interoperable, and Reusable), the DMP delineates procedures for handling, sharing, and preserving research data throughout and beyond the project’s duration. Key components include protocols for data handling during and post-project, identification of data types, application of methodologies and standards, provision for open access to data, and strategies for data curation and preservation.

Research report on previous and running initiatives and European projects on STEAM education and gender equality

Our latest report provides a detailed analysis of the challenges faced by young girls in pursuing STEM education and careers. Focusing on girls aged 14-18, the project identifies institutional and structural barriers while offering inclusive toolkits and approaches for skill development across all genders. Through comprehensive desk research, project mapping, and interviews with key stakeholders, the report highlights key challenges such as societal stereotypes, traditional teaching methods, and funding issues. It also presents concrete recommendations for developing inclusive STEM education programs.

Best practices collection on STEAM approaches and tools

This deliverable showcase a selection of exemplary projects and initiatives designed to empower girls and women in STEAM fields. This work highlights 21 best practices identified through a structured process that included mapping relevant projects, interviewing experts, and evaluating outcomes at various levels – city, regional, European, and global

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