Abstract
Scientific software is one of the key elements for reproducible research. However, classic publications and related scientific software are typically not (sufficiently) linked, and tools are missing to jointly explore these artefacts. In this paper, we report on our work on developing the analytics tool SciSoftX (https://labs.tib.eu/info/projekt/scisoftx/) for jointly exploring software and publications. The presented prototype, a concept for automatic code discovery, and two use cases demonstrate the feasibility and usefulness of the proposal.
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Hoppe, A., Hagen, J., Holzmann, H., Kniesel, G., Ewerth, R. (2018). An Analytics Tool for Exploring Scientific Software and Related Publications. In: Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science(), vol 11057. Springer, Cham. https://doi.org/10.1007/978-3-030-00066-0_27
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DOI: https://doi.org/10.1007/978-3-030-00066-0_27
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