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+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+
+cff-version: 1.2.0
+title: Biodiversity genomic data management
+message: >-
+  If you wish to cite this resource, please do so using the
+  metadata provided here. 
+preferred-citation:
+  type: article
+  title: "Journeying towards best practice: tips and tricks for improved data management for biodiversity genomics researchers"
+  year: 2023
+  authors:
+    - given-names: Natalie Jane
+      family-names: Forsdick
+      email: forsdickn@landcareresearch.co.nz
+      affiliation: Manaaki Whenua - Landcare Research
+      orcid: 'https://orcid.org/0000-0003-0423-3314'
+    - given-names: Jana R
+      family-names: Wold
+      email: jana.wold@canterbury.ac.nz
+      affiliation: University of Canterbury
+    - given-names: Anton
+      family-names: Angelo
+      affiliation: University of Canterbury
+      email: anton.angelo@canterbury.ac.nz
+    - given-names: François
+      family-names: Bissey
+      affiliation: University of Canterbury
+      email: francois.bissey@canterbury.ac.nz
+    - given-names: Jamie
+      family-names: Hart
+      affiliation: University of Canterbury
+      email: jamie.hart@canterbury.ac.nz
+    - given-names: Mitchell
+      family-names: Head
+      affiliation: University of Waikato
+      email: mitchell.head@waikato.ac.nz
+    - given-names: Libby
+      family-names: Liggins
+      affiliation: Massey University
+      email: l.liggins@massey.ac.nz
+    - given-names: Dinindu
+      family-names: Senanayake
+      affiliation: New Zealand eScience Infrastructure
+      email: dinindu.senanayake@nesi.org.nz
+    - given-names: Tammy E
+      family-names: Steeves
+      affiliation: University of Canterbury
+      email: tammy.steeves@canterbury.ac.nz
+  abstract: >-
+    Large-scale genomic data sets are being generated at an
+    unprecedented pace, requiring collaboration across
+    disciplines to utilise these data to their full potential.
+    We represent a cross-disciplinary team, including IT and
+    eResearch support staff, biodiversity genomics
+    researchers, and those interested in appropriate data
+    stewardship and re-use. Through our experiences, we
+    appreciate the need for appropriate data management
+    practices not only to minimise the risks of data loss and
+    maximise efficiency and productivity for single projects,
+    but also to enhance opportunities for future data re-use
+    and collaboration. These practices are an essential
+    component in facilitating Indigenous data sovereignty and
+    are an expectation of the FAIR and CARE principles. Here
+    we model good data management practices, and provide tips
+    and tricks to support emerging researchers (and research
+    teams broadly) in documenting and managing biodiversity
+    genomic data sets and associated metadata. We aim to
+    empower the biodiversity genomics community to minimise
+    risks and maximise research impact now and into the
+    future.
+  keywords:
+    - genomic data management
+    - biodiversity genomics
+    - data management plans
+  license: CC-BY-1.0