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bioRxiv · 10.1101/058529

SourceData - a semantic platform for curating and searching figures

Robin Liechti·Nancy George·Sara El-Gebali·Lou Götz·Isaac Crespo·Ioannis Xenarios·Thomas Lemberger
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Abstract

Here we present SourceData (http://sourcedata.embo.org), a platform that allows researchers and publishers to share scientific figures and, when available, the underlying source data in a way that is machine-readable and findable. SourceData is unique in its focus on the core of scientific evidence--data presented in figures--and its capability to make papers searchable based on their data content and hence directly couple data to improved discoverability. SourceData aims at establishing a selfreinforcing data ecosystem that bridges the conventional visual and narrative description of research findings with a machine-readable representation of data and hypotheses.\n\nIn molecular and cell biology, most of the data that result from hypothesis-driven research are exclusively available in the form of figures or tables in published papers. In spite of their importance for the understanding of biological processes and human di ...

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Robin Liechti, Nancy George, Sara El-Gebali, Lou Götz, Isaac Crespo, Ioannis Xenarios, Thomas Lemberger. 2016-06-13. SourceData - a semantic platform for curating and searching figures. https://doi.org/10.1101/058529

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