Assessing the FAIR Digital Object Framework for Global Biodiversity Research
Islam, S.; Beach, J.; Ellwood, E.R.; Fortes, J.; Lannom, L.; Nelson, G.; Plale, B. (2023). Assessing the FAIR Digital Object Framework for Global Biodiversity Research. Research Ideas and Outcomes 9: e108808. https://dx.doi.org/10.3897/rio.9.e108808
In: Research Ideas and Outcomes. Pensoft Publishers: Sofia. e-ISSN 2367-7163, more
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| Author keywords |
FAIR data, FDO, natural history museums, natural science collections, biodiversity specimens, interoperablity, persistent identifiers, FAIR implementation, extended specimen network |
| Authors | | Top |
- Islam, S.
- Beach, J.
- Ellwood, E.R.
- Fortes, J.
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- Lannom, L.
- Nelson, G.
- Plale, B.
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| Abstract |
In the first decades of the 21st century, there has been a global trend towards digitisation and the mobilisation of data from natural history museums and research institutions. The development of national and international aggregator systems, which focused on data standards, made it possible to access millions of museum specimen records. These records serve as an empirical foundation for research across various fields. In addition, community efforts have expanded the concept of natural history collection specimens to include physical preparations and digital resources, resulting in the Digital Extended Specimen (DES), which also includes derived and related data. Within this context, the paper proposes using the FAIR Digital Object (FDO) framework to accelerate the global vision of the DES, arguing that FDO-enabled infrastructures can reduce barriers to the discovery and access of specimens, help ensure credit back to contributors and increase the amount of research that incorporates biodiversity data. |
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