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Recently, we have experienced a massive increase in the volume of scientific articles and research artefacts (e.g., datasets, models, software packages). This trend is expected to continue and opens up challenges including the development of large-scale machine-readable representations of scientific knowledge, making scholarly data and knowledge discoverable and accessible, and designing reliable and comprehensive metrics to assess scientific impact. Sci-K provides a forum for researchers and practitioners from different disciplines to present, educate, and guide research related to scientific knowledge. Three themes cover the most important challenges in this field: representation, discoverability, and assessment.
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