Community workflow
The CODECHECK community workflow described here is the steps that codecheckers follow when conducting independent CODECHECKs, i.e., without an active collaboration with a journal or conference. The community workflow uses free to use infrastructure, in particular the GitHub organisation codecheckers and Zenodo for depositing codecheck certificates. The community workflow is a concrete implementation of the abstract CODECHECK process and follows the CODECHECK principles, although it may fall short of Rule 3, because the CODECHECKs are not yet properly registered as peer reviews in open research information databases.
The community workflow documentation is split into three parts:
- CODECHECK community workflow for authors
- CODECHECK community workflow for codecheckers This perspective also has variants: a focused version, a more detailed version, and a version for in-person workshop with CHECK-NL
- CODECHECK community workflow for editors
Support
Every CODECHECK is unique, just as the associated research article. The codechecker can partly rely on the examples below and the full breadth of CODECHECKs for good practices and approaches for codechecking.
If you have any questions or concerns, or get stuck, please reach out to fellow codecheckers in the public CODECHECK discussion forum or contact the CODECHECK team (see footer) if you need to consult on sensitive information.
Examples
See the CODECHECK register for a full list of codechecks, including direct links to the reports and register issues. You can check there for more examples from different communities.
- Life Sciences 🧬🌿🧠
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ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
CODECHECK Certificate 2020-001. https://doi.org/10.5281/zenodo.3674056
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CODECHECK certificate 2020-010: https://doi.org/10.5281/zenodo.3865491
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Driftage: a multi-agent system for concept drift detection and an application on electromyography (Uses MyBinder)
CODECHECK certificate 2020-024: https://doi.org/10.5281/zenodo.4964880
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- GIScience/Geography/Geoinformatics 🌏🌎🌍
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Progress in the R ecosystem for representing and handling spatial data
CODECHECK certificate 2020-017: https://doi.org/10.5281/zenodo.4003848
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Geographically Weighted Regressions in educational planning (R and QGIS)
CODECHECK certificate 2022-001: https://doi.org/10.5281/zenodo.6040066
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Is it safe to be attractive? Disentangling the influence of streetscape features on the perceived safety and attractiveness of city streets (web app, Jupyter notebook)
CODECHECk certificate 2023-008: https://doi.org/10.17605/OSF.IO/AQGXR
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Urban Sound Mapping for Wayfinding - A theoretical Approach and an empirical Study (R and QGIS)
CODECHECk certificate 2023-001: https://doi.org/10.17605/OSF.IO/C7VX3
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Road Network Mapping from Multispectral Satellite Imagery: Leveraging Deep Learning and Spectral Bands (Python with Conda, data subset)
CODECHECk certificate 2024-013: https://doi.org/10.17605/OSF.IO/TXGZV
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The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna (Python, with requirements.txt by codechecker)
CODECHECk certificate 2024-013: https://doi.org/10.17605/OSF.IO/W42AD
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Developing a city-specific walkability index through a participatory approach (mixed methods; QGIS and Python)
CODECHECk certificate 2024-013: https://doi.org/10.17605/OSF.IO/CSB7R
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Knowledge-Based Identification of Urban Green Spaces: Allotments (R, proprietary GIS)
CODECHECk certificate 2024-013: https://doi.org/10.17605/OSF.IO/3NBJW
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- Archaeology ⛏️🗿
- Your scientific dispipline here…