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Support

If you ever need additional help and support for your software citation, please reach out to the NCAR Library staff, Matt Mayernik (mayernik@ucar.edu) or Keith Maull (kmaull@ucar.edu).

We will be able to help you to:

  • Mint a DOI for your software package.
  • Select a license for your software project.
  • Develop a citation, versioning, or archiving plan for your software package.
  • Develop a public citation-friendly repository template for your software on Github.
  • Obtain periodic metrics for your DOI so you can understand how it is being used.

If you would like to learn more information about citing software, data, and other related topics, please browse the resources below.

Bouquin, Daina; Hou, Sophie; Benzing, Matthew; Wilson, Lee. (2019). Jupyter Notebooks: A Primer for Data Curators. Data Curation Network. http://hdl.handle.net/11299/202815

Chassanoff, A., & Altman, M. (2019). Curation as “interoperability with the future”: Preserving scholarly research software in academic libraries. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24244

Codemeta. https://codemeta.github.io/

Cox, Krista; Bouquin, Daina; Brower, Don; Anderson, Seth; Aragon, Selina (2019): Software Curation: An Ecosystem of Users, Tools and Services. figshare. Presentation. https://doi.org/10.6084/m9.figshare.7795880.v1

Downs RR, Lenhardt WC, Robinson E, Davis E, Weber N (2015) Community Recommendations for Sustainable Scientific Software. Journal of Open Research Software. http://dx.doi.org/10.5334/jors.bt

ESIP Software and Services Citation Cluster. (2019): Software and Services Citation Guidelines and Examples. ESIP. https://doi.org/10.6084/m9.figshare.7640426.v3

JISC-RDSS Software Deposit and Preservation Project (2018): Software Deposit Guidance for Researchers. Software sustainability Institute. https://softwaresaved.github.io/software-deposit-guidance/

Johns Hopkins Libraries Data Management Services (n.d.): Planning for Software Reproducibility & Reuse. Johns Hopkins Libraries. https://dataservices.library.jhu.edu/training-workshops/research-data-management-sharing/planning-for-software-reproducibility-reuse/

Jones, C. M., Matthews, B., Gent, I., Griffin, T., & Tedds, J. (2017). Persistent Identification and Citation of Software. International Journal of Digital Curation, 11(2), 104–114. https://doi.org/10.2218/ijdc.v11i2.422

Katz, D.S. et al. (2019). Software Citation Implementation Challenges. https://arxiv.org/abs/1905.08674

Pimentel, Joao Felipe, Leonardo Murta, Vanessa Braganholo, and Juliana Freire. (2019). A large-scale study about quality and reproducibility of Jupyter Notebooks. http://www.ic.uff.br/~leomurta/papers/pimentel2019a.pdf

Rios, F. (2018). Incorporating Software Curation into Research Data Management Services: Lessons Learned. International Journal of Digital Curation, 13(1), 235–247. https://doi.org/10.2218/ijdc.v13i1.608

Rule, A., et al. (2018). Ten Simple Rules for Reproducible Research in Jupyter Notebooks. arXiv:1810.08055. https://arxiv.org/abs/1810.08055

Smith AM, Katz DS, Niemeyer KE, FORCE11 Software Citation Working Group. (2016). Software citation principles. PeerJ Computer Science 2:e86 https://doi.org/10.7717/peerj-cs.86

Software Heritage. (2019). Saving and referencing research software in Software Heritage. https://www.softwareheritage.org/2019/08/05/saving-and-referencing-research-software-in-software-heritage/

Wofford, M., Boscoe, B. M., Borgman, C., Pasquetto, I., & Golshan, M. (2019). Jupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community. Computing in Science & Engineering, 1–1. https://doi.org/10.1109/mcse.2019.2932067