# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "wddsWizard" in publications use:'
type: software
license: MIT
title: 'wddsWizard: Data Wizard for a Minimal Wildlife Disease Data Standard'
version: 0.2.5
doi: 10.5281/zenodo.15857143
identifiers:
- type: doi
  value: 10.32614/CRAN.package.wddsWizard
abstract: Facilitates compliance with and use of the Wildlife Disease Data Standard
  stored on Zenodo <https://doi.org/10.5281/zenodo.15020049>. It allows users to restructure
  and validate datasets.
authors:
- family-names: Schwantes
  given-names: Collin
  email: collin@viralemergence.org
  orcid: https://orcid.org/0000-0002-9882-941X
preferred-citation:
  type: manual
  title: Data Wizard for a Minimal Wildlife Disease Data Standard
  authors:
  - family-names: Schwantes
    given-names: Collin J.
  year: '2025'
  doi: 10.5281/zenodo.15857143
repository: https://viralemergence.r-universe.dev
repository-code: https://github.com/viralemergence/wddsWizard
commit: 46e597a2ea9355d291afc73e35ceff1d492995b5
url: https://viralemergence.github.io/wddsWizard/
date-released: '2025-12-05'
contact:
- family-names: Schwantes
  given-names: Collin
  email: collin@viralemergence.org
  orcid: https://orcid.org/0000-0002-9882-941X
references:
- type: generic
  title: 'viralemergence/wdds: v.1.0.3'
  authors:
  - family-names: Schwantes
    given-names: Collin
  publisher:
    name: Zenodo
  doi: 10.5281/zenodo.15270582
  url: https://doi.org/10.5281/zenodo.15270582
  month: '4'
  year: '2025'
- type: article
  title: A minimum data standard for wildlife disease research and surveillance
  authors:
  - family-names: Schwantes
    given-names: Collin J.
  - family-names: Sánchez
    given-names: Cecilia A.
  - family-names: Stevens
    given-names: Tess
  - family-names: Zimmerman
    given-names: Ryan
  - family-names: Albery
    given-names: Greg
  - family-names: Becker
    given-names: Daniel J.
  - family-names: Brookson
    given-names: Cole B.
  - family-names: Kading
    given-names: Rebekah C.
  - family-names: Keiser
    given-names: Carl N.
  - family-names: Khandelwal
    given-names: Shashank
  - family-names: Kramer-Schadt
    given-names: Stephanie
  - family-names: Krut-Landau
    given-names: Raphael
  - family-names: McKee
    given-names: Clifton
  - family-names: Montecino-Latorre
    given-names: Diego
  - family-names: O’Donoghue
    given-names: Zoe
  - family-names: Olson
    given-names: Sarah H.
  - family-names: O’Shea
    given-names: Mika
  - family-names: Poisot
    given-names: Timothée
  - family-names: Robertson
    given-names: Hailey
  - family-names: Ryan
    given-names: Sadie J.
  - family-names: Seifert
    given-names: Stephanie N.
  - family-names: Simons
    given-names: David
  - family-names: Vicente-Santos
    given-names: Amanda
  - family-names: Wood
    given-names: Chelsea L.
  - family-names: Graeden
    given-names: Ellie
  - family-names: Carlson
    given-names: Colin J.
  volume: '12'
  issue: '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
  copyright: 2025 The Author(s)
  date-accessed: '2025-07-15'
  journal: Scientific Data
  month: '6'
  year: '2025'
  notes: 'Publisher: Nature Publishing Group'
  keywords:
  - Ecological epidemiology
  - Microbial ecology
  start: '1054'
  identifiers:
  - type: url
    value: https://doi.org/10.1038/s41597-025-05332-x