The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.
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Manage, Improve and Open Up Your Research Data
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Parthenos - For Trainers - Training Slides | The materials on this web site are intended to assist in bridging that gap, overcoming the general inclination within infrastructure projects to provide only training on tools, rather than finding effective ways to transfer a greater bulk of our experiential knowledge. These materials are intended for reuse, so please feel free to incorporate them in to your courses and syllabi, or direct your students toward them for further learning. Please apply a CC-BY license when you do reuse them, crediting the PARTHENOS Project and the specific lecturer by name (if a video or slide deck). This item focuses on the training slides that are available through Parthenos. Slides on five topics are available: - Introduction to research infrastructures - Management challenges in research infrastructures - Collaborations in research infrastructures - Manage, Improve and Open up your Research Data - Formal Ontologies: A complete novice's guide
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CESSDA Data Management Expert Guide | The Data Management Expert Guide is designed by European experts from the CESSDA Training Working Group to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR). The guide is written for social science researchers who are in an early stage of practising research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data. The guide leads through the research data lifecycle from planning, organising, documenting, processing, storing and protecting data to sharing and publishing them. Taking the whole roundtrip will take approximately 15 hours. Particular specialties of the guide is a focus on European diversity (for example in data protection legislation, research ethics, research funder DMP requirements, etc), developing a Data Management Plan as you progress through the guide, and topical expert tips. |