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The reliability of clinical research is being compromised by the ‘replication crisis’ in biomedical research (Begley, Buchan & Dirnagl 2015; Mogil & Mcleod 2017). To ensure that ‘research translates into health’ (, the digital era demands transparent and open solutions for data handling, sharing, and integration. Open science practices improve efficiency, creativity, democratization of knowledge and stakeholder empowerment (Arza & Fressoli 2017), but are notoriously underfunded. As a recently appointed assistant professor, I work in biomarker characterization and algorithm development for closed-loop neurostimulation in human patients. My research has immediate translational potential for therapeutic improvement (Neumann et al., 2019). Lack of transparency and reproducibility (Wang et al., 2016) obliterates clinical adoption of unambiguously promising advances and impedes innovation. My research field misses: a) computational pipelines for research data organization b) open metadata repositories indicating available and performed research c) educational resources to achieve efficient control over research data flow. It is my dream to start my independent career with regulatory advice, mentorship and financial support from the SPOKES fellowship. My aim is the development of efficient computational strategies from research data acquisition to open metadata repositories allowing 100% computational reproducible publications (Piccolo et al., 2016). Successful automation of reproducible data organization and sharing principles based on and would have educational value, improve research quality and secure sustainable translational drive in my daily work. My project could trailblaze data strategy development for human neuroscience in the quest to break down barriers to translation in the Charité/BIH Wellcome Trust partnership. More information on the BIH/Wellcome Trust funded SPOKES project: