To cite wddsWizard in publications use:

Schwantes CJ (2025). Data Wizard for a Minimal Wildlife Disease Data Standard. doi:10.5281/zenodo.15857143.

Schwantes C (2025). “viralemergence/wdds: v.1.0.3.” doi:10.5281/zenodo.15270582. https://doi.org/10.5281/zenodo.15270582.

Schwantes CJ, Sánchez CA, Stevens T, Zimmerman R, Albery G, Becker DJ, Brookson CB, Kading RC, Keiser CN, Khandelwal S, Kramer-Schadt S, Krut-Landau R, McKee C, Montecino-Latorre D, O’Donoghue Z, Olson SH, O’Shea M, Poisot T, Robertson H, Ryan SJ, Seifert SN, Simons D, Vicente-Santos A, Wood CL, Graeden E, Carlson CJ (2025). “A minimum data standard for wildlife disease research and surveillance.” Scientific Data, 12(1), 1054. ISSN 2052-4463. doi:10.1038/s41597-025-05332-x. Publisher: Nature Publishing Group, https://www.nature.com/articles/s41597-025-05332-x.

Corresponding BibTeX entries:

  @Manual{wddsWizard,
    title = {Data Wizard for a Minimal Wildlife Disease Data Standard},
    author = {Collin J. Schwantes},
    year = {2025},
    doi = {10.5281/zenodo.15857143},
  }

  @Misc{schwantes_viralemergencewdds_2025,
    author = {Collin Schwantes},
    title = {viralemergence/wdds: v.1.0.3},
    publisher = {Zenodo},
    doi = {10.5281/zenodo.15270582},
    url = {https://doi.org/10.5281/zenodo.15270582},
    month = {apr},
    year = {2025},
  }

  @Article{schwantes_minimum_2025,
    author = {Collin J. Schwantes and Cecilia A. Sánchez and Tess
      Stevens and Ryan Zimmerman and Greg Albery and Daniel J. Becker
      and Cole B. Brookson and Rebekah C. Kading and Carl N. Keiser and
      Shashank Khandelwal and Stephanie Kramer-Schadt and Raphael
      Krut-Landau and Clifton McKee and Diego Montecino-Latorre and Zoe
      O’Donoghue and Sarah H. Olson and Mika O’Shea and Timothée Poisot
      and Hailey Robertson and Sadie J. Ryan and Stephanie N. Seifert
      and David Simons and Amanda Vicente-Santos and Chelsea L. Wood
      and Ellie Graeden and Colin J. Carlson},
    title = {A minimum data standard for wildlife disease research and
      surveillance},
    volume = {12},
    number = {1},
    abstract = {Rapid and comprehensive data sharing is vital to the
      transparency and actionability of wildlife infectious disease
      research and surveillance. Unfortunately, most best practices for
      publicly sharing these data are focused on pathogen determination
      and genetic sequence data. Other facets of wildlife disease data
      – particularly negative results – are often withheld or, at best,
      summarized in a descriptive table with limited metadata. Here, we
      propose a minimum data and metadata reporting standard for
      wildlife disease studies. Our data standard identifies a set of
      40 data fields (9 required) and 24 metadata fields (7 required)
      sufficient to standardize and document a dataset consisting of
      records disaggregated to the finest possible spatial, temporal,
      and taxonomic scale. We illustrate how this standard is applied
      to an example study, which documented a novel alphacoronavirus
      found in bats in Belize. Finally, we outline best practices for
      how data should be formatted for optimal re-use, and how
      researchers can navigate potential safety concerns around data
      sharing.},
    issn = {2052-4463},
    doi = {10.1038/s41597-025-05332-x},
    url = {https://www.nature.com/articles/s41597-025-05332-x},
    url = {https://www.nature.com/articles/s41597-025-05332-x},
    language = {en},
    copyright = {2025 The Author(s)},
    urldate = {2025-07-15},
    journal = {Scientific Data},
    month = {jun},
    year = {2025},
    note = {Publisher: Nature Publishing Group},
    keywords = {Ecological epidemiology, Microbial ecology},
    pages = {1054},
  }