FAIR Data and Services in Biodiversity Science and Geoscience

作     者：Larry Lannom Dimitris Koureas Alex R.Hardisty Larry Lannom;Dimitris Koureas;Alex R.Hardisty

作者机构：Corporation for National Research Initiatives(CNRI)RestonVirginia 20191USA Naturalis Biodiversity Center2333 CR LeidenThe Netherlands School of Computer Science and InformaticsCardiff UniversityCardiff CF243AACardiffUK 

出 版 物：《Data Intelligence》 (数据智能（英文）)

年 卷 期：2020年第2卷第1期

页      面：122-130,309,310页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Horizon 2020 Framework Programme, H2020, (777483) Horizon 2020 Framework Programme, H2020 

主　　题：Digital Object Architecture(DOA) FAIR DiSSCo Biodiversity Geoscience 

摘      要：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 *** 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 *** 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 *** 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.