Journal Production Guidance for Software and Data Citations

Shelley Stall; Geoffrey Bilder; Matthew Cannon; Neil P Chue Hong; Scott Edmunds; Christopher Erdmann; Michael Evans; Rosemary Farmer; Patricia Feeney; Michael Friedman; Matthew Giampoala; R. Brooks Hanson; Melissa Harrison; Dimitris Karaiskos; Daniel S. Katz; Viviana Letizia; Vincent Lizzi; Catriona MacCallum; August Muench; Kate Perry; Howard Ratner; Uwe Schindler; Brian Sedora; Martina Stockhause; Randy Townsend; Jake Yeston; Timothy Clark

doi:10.22541/essoar.167252601.17695321/v1

Journal Production Guidance for Software and Data Citations

Shelley Stall^*, Geoffrey Bilder, Matthew Cannon, Neil P Chue Hong, Scott Edmunds, Christopher Erdmann, Michael Evans, Rosemary Farmer, Patricia Feeney, Michael Friedman, Matthew Giampoala, R. Brooks Hanson, Melissa Harrison, Dimitris Karaiskos, Daniel S. Katz, Viviana Letizia, Vincent Lizzi, Catriona MacCallum, August Muench, Kate PerryHoward Ratner, Uwe Schindler, Brian Sedora, Martina Stockhause, Randy Townsend, Jake Yeston, Timothy Clark

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate › peer-review

Abstract / Description of output

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.

Original language	English
Article number	656
Journal	Scientific Data
Volume	10
Issue number	1
DOIs	https://doi.org/10.22541/essoar.167252601.17695321/v1 https://doi.org/10.1038/s41597-023-02491-7
Publication status	Published - 31 Dec 2023

Access to Document

10.22541/essoar.167252601.17695321/v1Licence: All Rights Reserved
10.1038/s41597-023-02491-7Licence: Creative Commons: Attribution (CC-BY)

s41597-023-02491-7Final published version, 1.11 MBLicence: Creative Commons: Attribution (CC-BY)

1 Finished

The UK Software Sustainability Institute: Phase 3
Chue Hong, N.
EPSRC
1/12/18 → 30/11/23
Project: Research

2 Article

Recognizing the value of software: a software citation guide [version 2; peer review: 2 approved]
Katz, D. S., Chue Hong, N. P., Clark, T., Muench, A., Stall, S., Bouquin, D., Cannon, M., Edmunds, S., Faez, T., Feeney, P., Fenner, M., Friedman, M., Grenier, G., Harrison, M., Heber, J., Leary, A., MacCallum, C., Murray, H., Pastrana, E., Perry, K., & 3 othersSchuster, D., Stockhause, M. & Yeston, J., 12 Jan 2021, In: F1000Research.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Software citation principles
Smith, A. M., Katz, D. S., Niemeyer, K. E. & Chue Hong, N., 19 Sept 2016, In: PeerJ Computer Science. 2, 86
Research output: Contribution to journal › Article › peer-review

Open Access
File

1 Contribution to the work of national or international committees and working groups

Software Citation Implementation Working Group
Neil Chue Hong (Chair)
May 2017 → …
Activity: Consultancy types › Contribution to the work of national or international committees and working groups

Cite this

Stall, S., Bilder, G., Cannon, M., Chue Hong, N. P., Edmunds, S., Erdmann, 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., ... Clark, T. (2023). Journal Production Guidance for Software and Data Citations. Scientific Data, 10(1), Article 656. https://doi.org/10.22541/essoar.167252601.17695321/v1, https://doi.org/10.1038/s41597-023-02491-7

@article{7d1bbcfc37954e1aa8a79b1063e567e7,

title = "Journal Production Guidance for Software and Data Citations",

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.",

author = "Shelley Stall and Geoffrey Bilder and Matthew Cannon and {Chue Hong}, {Neil P} and Scott Edmunds and Christopher Erdmann and Michael Evans and Rosemary Farmer and Patricia Feeney and Michael Friedman and Matthew Giampoala and Hanson, {R. Brooks} and Melissa Harrison and Dimitris Karaiskos and Katz, {Daniel S.} and Viviana Letizia and Vincent Lizzi and Catriona MacCallum and August Muench and Kate Perry and Howard Ratner and Uwe Schindler and Brian Sedora and Martina Stockhause and Randy Townsend and Jake Yeston and Timothy Clark",

note = "Funding Information: Shelley Stall and Brian Sedora are partially funded by the National Science Foundation (Grant ID 2025364). This article is a deliverable for that project. Neil Chue Hong{\textquoteright}s contributions to this article were funded by the UK Research Councils through grant EP/S021779/1. Funding Information: This document is the product of working sessions of the FORCE11 Software Citation Implementation Working Group{\textquoteright}s Journals Task Force, conducted over a period of 2 years. It reflects lessons learned from a project supported by an NSF Grant (2025364) to the American Geophysical Union to ensure that software and data citations were transferred reliably from publications to NSF{\textquoteright}s Public Access Repository. It provides best practices to journals such that the machine-actionable representation of the software and dataset citations is sustained throughout the publication workflow and properly formatted when deposited to Crossref. This optimizes their ability to be properly linked as research objects in support of services provided by DataCite, Scholarly Link eXchange (Scholix), and others. The FORCE11 Journals Task Force includes both society and commercial publishers of all sizes, research infrastructure providers, and others interested in implementation challenges for software and data citations. ",

year = "2023",

month = dec,

day = "31",

doi = "10.22541/essoar.167252601.17695321/v1",

language = "English",

volume = "10",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Macmillan Publishers",

number = "1",

}

Stall, S, Bilder, G, Cannon, M, Chue Hong, NP, Edmunds, S, Erdmann, C, Evans, M, Farmer, R, Feeney, P, Friedman, M, Giampoala, M, Hanson, RB, Harrison, M, Karaiskos, D, Katz, DS, Letizia, V, Lizzi, V, MacCallum, C, Muench, A, Perry, K, Ratner, H, Schindler, U, Sedora, B, Stockhause, M, Townsend, R, Yeston, J & Clark, T 2023, 'Journal Production Guidance for Software and Data Citations', Scientific Data, vol. 10, no. 1, 656. https://doi.org/10.22541/essoar.167252601.17695321/v1, https://doi.org/10.1038/s41597-023-02491-7

TY - JOUR

T1 - Journal Production Guidance for Software and Data Citations

AU - Stall, Shelley

AU - Bilder, Geoffrey

AU - Cannon, Matthew

AU - Chue Hong, Neil P

AU - Edmunds, Scott

AU - Erdmann, Christopher

AU - Evans, Michael

AU - Farmer, Rosemary

AU - Feeney, Patricia

AU - Friedman, Michael

AU - Giampoala, Matthew

AU - Hanson, R. Brooks

AU - Harrison, Melissa

AU - Karaiskos, Dimitris

AU - Katz, Daniel S.

AU - Letizia, Viviana

AU - Lizzi, Vincent

AU - MacCallum, Catriona

AU - Muench, August

AU - Perry, Kate

AU - Ratner, Howard

AU - Schindler, Uwe

AU - Sedora, Brian

AU - Stockhause, Martina

AU - Townsend, Randy

AU - Yeston, Jake

AU - Clark, Timothy

N1 - Funding Information: Shelley Stall and Brian Sedora are partially funded by the National Science Foundation (Grant ID 2025364). This article is a deliverable for that project. Neil Chue Hong’s contributions to this article were funded by the UK Research Councils through grant EP/S021779/1. Funding Information: This document is the product of working sessions of the FORCE11 Software Citation Implementation Working Group’s Journals Task Force, conducted over a period of 2 years. It reflects lessons learned from a project supported by an NSF Grant (2025364) to the American Geophysical Union to ensure that software and data citations were transferred reliably from publications to NSF’s Public Access Repository. It provides best practices to journals such that the machine-actionable representation of the software and dataset citations is sustained throughout the publication workflow and properly formatted when deposited to Crossref. This optimizes their ability to be properly linked as research objects in support of services provided by DataCite, Scholarly Link eXchange (Scholix), and others. The FORCE11 Journals Task Force includes both society and commercial publishers of all sizes, research infrastructure providers, and others interested in implementation challenges for software and data citations.

PY - 2023/12/31

Y1 - 2023/12/31

N2 - 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.

AB - 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.

U2 - 10.22541/essoar.167252601.17695321/v1

DO - 10.22541/essoar.167252601.17695321/v1

M3 - Comment/debate

SN - 2052-4463

VL - 10

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 656

ER -

Journal Production Guidance for Software and Data Citations

Abstract / Description of output

Access to Document

Fingerprint

Projects

The UK Software Sustainability Institute: Phase 3

Research output

Recognizing the value of software: a software citation guide [version 2; peer review: 2 approved]

Software citation principles

Activities

Software Citation Implementation Working Group

Cite this