The reuse of avian samples: Opportunities, pitfalls and a solution
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Abstract
Tissue samples are frequently collected to study various aspects of avian biology, but in many cases these samples are not used in their entirety and are stored by the collector. The already collected samples provide a largely overlooked opportunity because they can be used by different researchers in different biological fields. Broad reuse of samples could result in multispecies or large-scale studies, interdisciplinary collaborations, and the generation of new ideas, thereby increasing the quality and impact of research. Sample reuse could also reduce the number of new samples needed for a study, which is especially pertinent to endangered species where sample collection is necessarily limited. Importantly, reusing samples may be mutually beneficial for both the researchers providing samples and those reusing them. Here, we identify the benefits of sample reuse, describe currently available sources of already collected samples and their limitations, and highlight the wide range of potential applications in a single research field – avian isotopic ecology. To facilitate the reuse of avian samples worldwide and across research fields, we introduce the AviSample Network metadata repository. The main aims of this metadata repository are to collate and provide access to descriptions of available avian tissue samples. We contend that the creation of the AviSample Network metadata repository will provide the opportunity for new collaborations and studies. Moreover, we believe that this will help create research connections between ornithologists across the globe and encourage sample reuse in other fields.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | The reuse of avian samples: Opportunities, pitfalls and a solution |
Series title | Ibis |
DOI | 10.1111/ibi.12997 |
Volume | 164 |
Year Published | 2022 |
Language | English |
Publisher | Wiley |
Contributing office(s) | Fort Collins Science Center |
Description | 7 p. |
First page | 343 |
Last page | 349 |
Other Geospatial | Earth |
Google Analytic Metrics | Metrics page |