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An open-source database model and collections management system for fish scale and otolith archives
Tray, E.; Leadbetter, A.; Meaney, W.; Conway, A.; Kelly, C.; Maoiléidigh, N.O.; De Eyto, E.; Moran, S.; Brophy, D. (2020). An open-source database model and collections management system for fish scale and otolith archives. Ecological Informatics 59: 101115. https://dx.doi.org/10.1016/j.ecoinf.2020.101115
In: Ecological Informatics. Elsevier: Amsterdam. ISSN 1574-9541; e-ISSN 1878-0512
|   |
| Author keywords |
Database; Fish scale; Otolith; Archive; FAIR data principles |
| Auteurs | | Top |
- Tray, E.
- Leadbetter, A.
- Meaney, W.
|
- Conway, A.
- Kelly, C.
- Maoiléidigh, N.O.
|
- De Eyto, E.
- Moran, S.
- Brophy, D.
|
| Abstract |
Scales and otoliths (ear stones) from fish are routinely sampled for age estimation and fisheries management purposes. Growth records from scales and otoliths can be used to generate long-term time series data, and in combination with environmental data, can reveal species specific population responses to a changing climate. Additionally, scale and otolith microchemical data can be utilized to investigate fish habitat usage. A common problem associated with biological collections, is that while sample intake grows, long-term physical storage is rarely a priority, and much of the sampling took place before the advent of open-access digital infrastructure. Material is often collected to meet short-term objectives and resources are seldom committed to maintaining and archiving collections. As a consequence, precious samples are frequently stored in many different and unsuitable locations, and may become lost or separated from associated metadata. The Marine Institute's ecological research station in in Newport, Co. Mayo, Ireland, holds a multi-decadal (1928–2020) collection of scales and otoliths from various fish species, gathered from many geographic locations. Here we present an open-source database model and archiving system to consolidate and digitize this collection, and show how this case study infrastructure could be used for other biological sample collections. The system utilizes the FAIR (Findable Accessible Interoperable and Reusable) open-data principles, and includes a physical repository, sample metadata catalogue, and image library. |
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