Science Capsule - Capturing the Data Life Cycle

Ghoshal, Devarshi; Bianchi, Ludovico; Essiari, Abdelilah; Beach, Michael; Paine, Drew; Ramakrishnan, Lavanya

doi:10.21105/joss.02484

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Science Capsule - Capturing the Data Life Cycle

Ghoshal, Devarshi·Bianchi, Ludovico·Essiari, Abdelilah·Beach, Michael·Paine, Drew·Ramakrishnan, Lavanya

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Abstract

The data generated from scientific workflows often become unusable due to the lack or incompleteness of information required for processing and analyzing the data. Reproducibility of scientific data and workflows facilitates efficient processing and analyses. A key to enabling reproducibility is to capture the end-to-end workflow life cycle, and any contextual metadata and provenance.

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Ghoshal, Devarshi, Bianchi, Ludovico, Essiari, Abdelilah, Beach, Michael, Paine, Drew, Ramakrishnan, Lavanya. 2021-06-17. Science Capsule - Capturing the Data Life Cycle. https://doi.org/10.21105/joss.02484

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