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Title: FAIR Data and Services in Biodiversity Science and Geoscience
We examine the intersection of the FAIR principles (Findable, Accessible, Interoperable and Reusable), the challenges and opportunities presented by the aggregation of widely distributed and heterogeneous data about biological and geological specimens, and the use of the Digital Object Architecture (DOA) data model and components as an approach to solving those challenges that offers adherence to the FAIR principles as an integral characteristic. This approach will be prototyped in the Distributed System of Scientific Collections (DiSSCo) project, the pan-European Research Infrastructure which aims to unify over 110 natural science collections across 21 countries. We take each of the FAIR principles, discuss them as requirements in the creation of a seamless virtual collection of bio/geo specimen data, and map those requirements to Digital Object components and facilities such as persistent identification, extended data typing, and the use of an additional level of abstraction to normalize existing heterogeneous data structures. The FAIR principles inform and motivate the work and the DO Architecture provides the technical vision to create the seamless virtual collection vitally needed to address scientific questions of societal importance.  more » « less
Award ID(s):
1839013
PAR ID:
10198095
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Data Intelligence
Volume:
2
Issue:
1-2
ISSN:
2641-435X
Page Range / eLocation ID:
122 to 130
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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