for Julia Priess-Buchheit, Joeri K. Tijdink, Katharina Miller, Sean Lacey, Peter Eduard, Marie Alavi (and more from NERQ_OS Group)Julia Priess-Buchheit, Joeri K. Tijdink, Katharina Miller, Sean Lacey, Peter Eduard, Marie Alavi (and more from NERQ_OS Group) OS enables transparancy, accessibility, collaboration, knowledge circulation & valorisation and innovation. Higher education lacks tailored OS training resources for var﻿ious st﻿a﻿keholders of the scientific community. Recognising that while openness is vital, only high-quality research output with legally and ethically justified openness is reliable and reasonable. We reviewed literature, activated representatives for the OS learner groups and screene﻿﻿d the OS training resources from the groups 1, 4 and 7. We extracted RI and RE principles provided in these training resources. We statuated umbrella concepts of OS training resources: We create OS target groups Educational Goals RESEARCHER POLICY MAKER OS EDUCATOR As open as possible - as closed as necessary FAIR data & other outputs As open as possible - as closed a s necessary Data protection & Intellectual property Open research: Data, Access, Code, OER, Source etc. Monitoring & Evaluation Reproducibility (data/ methodology etc. sharing) Reproducibility Open science & inclusiv e infrastructures Proceeding data collection Help us to create an intersection of of high-quality and reliable OS training using our questionnaire: your training resources on principles recommended by the research community usi﻿﻿ng our questionnaire. gaps or needs for further training and your resources. Get your training resources if you meet at least 80% of the recommended principles. your training resources to the Open Science Learning Gate. the intersection for your training of specific stakeholders. reach out: buchheit@paedagogik.uni-kiel.de alavi@zke-kiel.de NERQ's intersection of OS training resources targeting specific learning groups promoting principles inevitable for current research Principles RESEARCHER POLICY MAKER OS EDUCATOR Accountability Awareness Accountability (Self-)Awareness Collaboration, Community building, Hollistic engagement Awareness Honesty, Equity & Fairness Honesty, Diversity & Inclusiveness Quality & Integrity Ethics Openness Reliability Incentives, Recognition, Encouragement Reliability (tools, infrastructures, actors) Respect Data confidentiality Respect Responsibility Explainability Responsibility Transparency Traceability Proceeding data collection (see QR-code) Accessibility Bias-free speech, data and outcomes Fairness Harm- monitoring Guardrails to ensure scientific values Data confidentiality, quality Privacy, Data & IP protection Safety Transparency Value-based algorithmi c decision-making Proceeding data collection (see QR-code)a Collection of important OS training principles Assesment and hig h quali ty badging OPEN SCIENCE Learning Gate tailored capacity building for OS training Open Science Learning Gate Data Research Infrastructure Support Professional RESEARCH INTEGRITY RESEARCH ETHICS ETHICS of AI operating with OS NERQ’S OS Principles in the OPEN SCIENCE LEARNING GATE OS Educator/ Trainer 7 8 Join us in the OPEN SCIENCE LEARNING GATE Policy Maker Data Curator Data Steward/ Data Librarian/ Figure: Adapted from EOSC’s definition of Actors in the EOSC Ecosystem (1) 4 5 6 Authors: Julia Priess-Buchheit, Marie Alavi With contribution of: Joeri K. Tijdink, Katharina Miller, Ruth Moran, Varga Orsolya, Maruxa Martinez, Ulf Tölch, Sean Lacey , Peter Eduard, Anita Lunić (and more from NERQ_OS Group)With contribution of: Joeri K. Tijdink, Katharina Miller, Ruth Moran, Varga Orsolya, Maruxa Martinez, Ulf Tölch, Sean Lacey, Peter Eduard, Anita Lunić (and more from NERQ_OS Group) Lack of tailored OPEN SCIENCE training for different stakeholders OPEN SCIENCE Learning Gate as tailored & high-quality intersection The Problem 1 Researcher University Student Citizen Research Soft- ware Engineer Data Scientist/ Analyst En