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# Citation Guidelines
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If your work uses the DataJoint Python, MATLAB, or Elements, please cite the
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respective manuscripts and Research Resource Identifiers (RRIDs).
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When your work uses the DataJoint Python, MATLAB, or Elements framework, please cite the
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respective manuscripts and include their associated Research Resource Identifiers
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(RRIDs). Proper citation helps credit the contributors and supports the broader
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scientific community by highlighting the tools used in research.
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## DataJoint Python and MATLAB
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## Citing DataJoint Elements
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- Yatsenko D, Reimer J, Ecker AS, Walker EY, Sinz F, Berens P, Hoenselaar A, Cotton
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RJ, Siapas AS, Tolias AS. DataJoint: managing big scientific data using MATLAB or
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Python. bioRxiv. 2015 Jan 1:031658. doi: https://doi.org/10.1101/031658
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If your work utilizes **DataJoint Elements**, please cite the following manuscript:
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- [RRID:SCR_014543](https://scicrunch.org/resolver/SCR_014543)
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- **Manuscript**: Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki
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M, Sitonic D, Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for
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Neurophysiology. bioRxiv. 2021 Jan 1. doi: https://doi.org/10.1101/2021.03.30.437358
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## DataJoint Relational Model
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- **RRID**: [RRID:SCR_021894](https://scicrunch.org/resolver/SCR_021894)
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- Yatsenko D, Walker EY, Tolias AS. DataJoint: a simpler relational data model.
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arXiv:1807.11104. 2018 Jul 29. doi: https://doi.org/10.48550/arXiv.1807.11104
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You should also cite the **DataJoint Core manuscript** detailed below.
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- [RRID:SCR_014543](https://scicrunch.org/resolver/SCR_014543)
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## Citing the DataJoint Relational Model
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## DataJoint Elements
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For any work relying on the **DataJoint Relational Model**, include the following
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citation:
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- Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki M, Sitonic D,
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Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for
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Neurophysiology. bioRxiv. 2021 Jan 1. doi: https://doi.org/10.1101/2021.03.30.437358
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- **Manuscript**: Yatsenko D, Walker EY, Tolias AS. DataJoint: A simpler relational data
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model. arXiv:1807.11104. 2018 Jul 29. doi: https://doi.org/10.48550/arXiv.1807.11104
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- **RRID**: [RRID:SCR_014543](https://scicrunch.org/resolver/SCR_014543)
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## Citing DataJoint Python and MATLAB
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For work using **DataJoint Python** or **DataJoint MATLAB**, cite the following
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manuscript:
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- **Manuscript**: Yatsenko D, Reimer J, Ecker AS, Walker EY, Sinz F, Berens P,
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Hoenselaar A, Cotton RJ, Siapas AS, Tolias AS. DataJoint: Managing big scientific data
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using MATLAB or Python. bioRxiv. 2015 Jan 1:031658. doi:
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https://doi.org/10.1101/031658
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- **RRID**: [RRID:SCR_014543](https://scicrunch.org/resolver/SCR_014543)
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## Citing SciOps and Capability Maturity Model
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If your work references **SciOps** or the **Capability Maturity Model for Data-Intensive
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Research**, please use the following citation:
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- Manuscript: Johnson EC, Nguyen TT, Dichter BK, Zappulla F, Kosma M, Gunalan K,
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Halchenko YO, Neufeld SQ, Schirner M, Ritter P, Martone ME. SciOps: Achieving
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Productivity and Reliability in Data-Intensive Research. arXiv preprint
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arXiv:2401.00077v2. 2024 Nov 6. (Under review)
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- **RRID**: TBD
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# Why Cite DataJoint?
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By citing DataJoint and its associated resources:
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You give credit to the authors and contributors who developed these tools.
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You help other researchers identify and use these tools effectively.
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You strengthen the visibility and impact of open-source tools in scientific research.
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- [RRID:SCR_021894](https://scicrunch.org/resolver/SCR_021894)
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For further questions or assistance with citations, please reach out to the DataJoint
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support team ([email protected]).

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