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dc.contributor.authorCooper, N
dc.contributor.authorVerde Arregoitia, L
dc.contributor.authorD'Elia, G
dc.identifier.citationVerde Arregoitia, L. D., Cooper, N., and D'Elía, G. (2018). Good practices for sharing analysis-ready data in mammalogy and biodiversity research. Hystrix, the Italian Journal of Mammalogy, 29(2), pp.155-161.
dc.description.abstractAs both producers and consumers of data, scientists play an important role in defining how accessible their research outputs are to others. First by deciding to share, but also through the choice of file formats and data structures used to share data. Steps taken by authors, editors, and typesetters to format and store data often complicate the ability of future users to work with these data. At late stages of the scientific workflow, making analysis-ready versions of the data takes relatively little time and effort in exchange for a significant increase in usability and, potentially, other well-known benefits of data sharing such as more citations and potential collaborations. Well-structured and analysis-ready data also reduces the risk of unintended alterations introduced while cleaning and rearranging published data. We wish to reconcile what is easy to read and intuitive with machine-readable data that does not need extensive processing or advanced programming skills for inclusion in new analyses. For those who use and report biodiversity data and the results of specimen-based research, we wish to create awareness of the major differences in structure between data at the analysis stage compared with data arranged and formatted for reporting. We hope that the reader might apply these practices when sharing data with other scientists and with the public.en_US
dc.publisherAssociazione Teriologica Italianaen_US
dc.titleGood practices for sharing analysis-ready data in mammalogy and biodiversity researchen_US
dc.typeJournal Articleen_US
dc.identifier.journalHystrix : the Italian Journal of Mammalogyen_US
dc.identifier.startpage155 - 161en_US
pubs.organisational-group/Natural History Museum
pubs.organisational-group/Natural History Museum/Science Group
pubs.organisational-group/Natural History Museum/Science Group/Functional groups
pubs.organisational-group/Natural History Museum/Science Group/Functional groups/Research
pubs.organisational-group/Natural History Museum/Science Group/Functional groups/Research/LS Research
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences/Vertebrates
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences/Vertebrates/Vertebrates - Research
dc.embargoNot knownen_US
elements.import.authorVerde Arregoitia, LDen_US
elements.import.authorCooper, Nen_US
elements.import.authorD'Elia, Gen_US
dc.description.nhmThis is an open access article, available to all readers online, published under a creative commons licensing ( The attached file is the published version of the article.en_US
dc.subject.nhmbiodiversity informaticsen_US
dc.subject.nhmdata rectanglingen_US
dc.subject.nhmspecimen-based researchen_US
dc.subject.nhmEcological modellingen_US

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