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Science funders, research institutions and policymakers have been investing heavily in building digital infrastructures that will enable findable, accessible, interoperable and reusable (FAIR) data. Despite the enthusiasm for these infrastructures, many scientists still do not understand how they can be leveraged to advance their research goals. To address this gap, we conduct an inductive qualitative study of a digital infrastructure supporting FAIR data and propose a framework exploring how these infrastructures enable new capabilities in researchers’ workflows. First, we find that these infrastructures facilitate the seamless transition between the storage and analysis of data for new insights. Second, we find that these infrastructures enable researchers to extend their typical individual research workflow to larger scales of collaboration. By exploring the bridging role of digital infrastructures in FAIR, our study hopes to inform the scientific community and policymakers on how to accelerate the adoption of FAIR practices and maximize the future impact of these infrastructures currently under development.



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