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Authors and Citation

Authors

  • Collin Schwantes. Author, maintainer.

Citation

Source: inst/CITATION

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

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

@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},
}

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. 

@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},
}