Journal Production Guidance for Software and Data Citations. Stall, S., Bilder, G., Cannon, M., Chue Hong, N., Edmunds, S., Erdmann, C. C., Evans, M., Farmer, R., Feeney, P., Friedman, M., Giampoala, M., Hanson, R. B., Harrison, M., Karaiskos, D., Katz, D. S., Letizia, V., Lizzi, V., MacCallum, C., Muench, A., Perry, K., Ratner, H., Schindler, U., Sedora, B., Stockhause, M., Townsend, R., Yeston, J., & Clark, T. Scientific Data, 10(1):656, September, 2023. Number: 1 Publisher: Nature Publishing Group![Journal Production Guidance for Software and Data Citations [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Software and data citation are emerging best practices in scholarly communication. This article provides structured guidance to the academic publishing community on how to implement software and data citation in publishing workflows. These best practices support the verifiability and reproducibility of academic and scientific results, sharing and reuse of valuable data and software tools, and attribution to the creators of the software and data. While data citation is increasingly well-established, software citation is rapidly maturing. Software is now recognized as a key research result and resource, requiring the same level of transparency, accessibility, and disclosure as data. Software and data that support academic or scientific results should be preserved and shared in scientific repositories that support these digital object types for discovery, transparency, and use by other researchers. These goals can be supported by citing these products in the Reference Section of articles and effectively associating them to the software and data preserved in scientific repositories. Publishers need to markup these references in a specific way to enable downstream processes.
@article{stall_journal_2023,
title = {Journal {Production} {Guidance} for {Software} and {Data} {Citations}},
volume = {10},
copyright = {2023 Springer Nature Limited},
issn = {2052-4463},
url = {https://www.nature.com/articles/s41597-023-02491-7},
doi = {10.1038/s41597-023-02491-7},
abstract = {Software and data citation are emerging best practices in scholarly communication. This article provides structured guidance to the academic publishing community on how to implement software and data citation in publishing workflows. These best practices support the verifiability and reproducibility of academic and scientific results, sharing and reuse of valuable data and software tools, and attribution to the creators of the software and data. While data citation is increasingly well-established, software citation is rapidly maturing. Software is now recognized as a key research result and resource, requiring the same level of transparency, accessibility, and disclosure as data. Software and data that support academic or scientific results should be preserved and shared in scientific repositories that support these digital object types for discovery, transparency, and use by other researchers. These goals can be supported by citing these products in the Reference Section of articles and effectively associating them to the software and data preserved in scientific repositories. Publishers need to markup these references in a specific way to enable downstream processes.},
language = {en},
number = {1},
urldate = {2023-10-11},
journal = {Scientific Data},
author = {Stall, Shelley and Bilder, Geoffrey and Cannon, Matthew and Chue Hong, Neil and Edmunds, Scott and Erdmann, Christopher C. and Evans, Michael and Farmer, Rosemary and Feeney, Patricia and Friedman, Michael and Giampoala, Matthew and Hanson, R. Brooks and Harrison, Melissa and Karaiskos, Dimitris and Katz, Daniel S. and Letizia, Viviana and Lizzi, Vincent and MacCallum, Catriona and Muench, August and Perry, Kate and Ratner, Howard and Schindler, Uwe and Sedora, Brian and Stockhause, Martina and Townsend, Randy and Yeston, Jake and Clark, Timothy},
month = sep,
year = {2023},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {Media formats, Publication characteristics},
pages = {656},
}
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