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Rethinking Research Publication: Treating Data, Codes, and Components Like Software

In this thought-provoking manifesto, Professor Carole Goble emphasizes the importance of treating all components of research—data, codes, and interpretations—like software. The idea is to move away from traditional publishing towards a model of "release," supporting reproducibility and acknowledging the iterative nature of research. By drawing parallels between scholarly work and software development, Goble advocates for a new framework encompassing universal and specific methodologies, enabling better evaluation and impact assessment in science.

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Rethinking Research Publication: Treating Data, Codes, and Components Like Software

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  1. Don’t Publish. Release! Professor Carole Goble FREng FBCS University of Manchester, UK carole.goble@manchester.ac.uk

  2. Research Builds on prior work Components: data, codes, interpretation Changes Forks Versions

  3. Published Builds on prior work Context? Discrete Independent Snapshot Reconstruct the Body of work End of Story!

  4. Don't publish. Release! Treat ALL Components and ALL Research Like Software

  5. Don't publish. Release! Treat ALL Components and ALL Research Like Software

  6. Don't publish. Release! Treat ALL Components and ALL Research Like Software

  7. Don't publish. Release! Treat ALL Components and ALL Research Like Software http://www.wf4ever-project.org/research-object-model

  8. Explicit Salami Publishing! http://upload.wikimedia.org/wikipedia/commons/thumb/1/18/Salami_aka.jpg/800px-Salami_aka.jpg

  9. Possibility of Reproducibility! Results may vary icanhascheezburger.com

  10. New/revolutionary? Yes and No! • Scope? Universal and Specific! • Easy? Yes and No! • Manifesto? • unit and form of the scholarly publication • data, software, workflows first-class • tools / technologies for scholarly lifecycle • new methods/metrics for evaluation/impact http://www.wf4ever-project.org

  11. Acknowledgements Jennifer Schopf, Treating Data Like Software: A Case for Production Quality Data, JCDL 2012 Neil Chue Hong, Software Sustainability Institute http://www.software.ac.uk

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