Assessing the FAIR Digital Object Framework for Global Biodiversity Research

Author:

Islam SharifORCID,Beach JamesORCID,Ellwood Elizabeth R.ORCID,Fortes JoseORCID,Lannom LarryORCID,Nelson GilORCID,Plale BethORCID

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.

Publisher

Pensoft Publishers

Subject

General Medicine

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