Junsuk Rho, Jinn-Kong Sheu, Andrew Forbes, Din Ping Tsai, Andrea Alú, Wei Li, Mark L Brongersma, Joonhee Choi, F Javier Garcia de Abajo, Laura Na Liu, Alexander Szameit, Tracy Schloemer, Andreas Tittl, Mario Chemnitz, Cheng Wang, Jiejun Zhang, Yuri Kivshar, Tie Jun Cui, Ren-Min Ma, Cheng-Wei Qiu, Cuicui Lu, Yao-Wei Huang, Miguel Angel Solis Prosser, Ileana-Cristina Benea-Chelmus, Rachel Grange, Sungjin Kim, Anderson S L Gomes, Davide Ramaccia, Yating Wan, Apostolos Argyris, Antonio G Souza Filho, Tanmoy Chakraborty, Cristiano Matricardi
We introduce an integrative "open-knowledge system" framework linking knowledge production, validation, assessment, and reuse into one ecosystem view, and translate it into actionable recommendations for each stakeholder.
Bringing together researchers, funders, industry partners, and publishers from 14 countries across five continents, we advance the debate around open-science, assessment and learning. We introduce an integrative "open-knowledge system" framework linking knowledge production, validation, assessment, and reuse into one ecosystem view, and translate it into actionable recommendations for each stakeholder. Shifting focus to modular, machine-readable knowledge objects, these recommendations are intended to help diagnose misaligned incentives and guide reforms that properly value all scientific contributions.