FAIR data and services in biodiversity science and geoscience
| Autor: | Dimitris Koureas, Alex Hardisty, Larry Lannom |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
QA75
0303 health sciences Computer science Intersection (set theory) QH 05 social sciences Interoperability Data structure Data science 03 medical and health sciences Identification (information) Data model Work (electrical) 0509 other social sciences Architecture 050904 information & library sciences 030304 developmental biology Abstraction (linguistics) |
| Zdroj: | Data Intelligence |
| ISSN: | 2641-435X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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