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of data reduction methods on scientific outcomes and data quality. Contribute to community guidelines, best practices and knowledge resources related to scientific data reduction, compression and FAIR
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is a smorgasbord of resources and opportunities for those who wants to develop their careers and make a difference in the transition towards a sustainable future. Subject description This project
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